MEAN Stack Project Ideas: 25 Best Web Development Projects for Practice

The MEAN stack is a popular web-development framework consisting of four core technologies: MongoDB (a NoSQL database), Express.js (a flexible Node.js web application framework), Angular (a front-end JavaScript framework), and Node.js (a runtime environment allowing server-side JavaScript execution). This powerful combination enables developers to build efficient, scalable, and maintainable full-stack web applications using JavaScript across the entire development stack. 

Leveraging the MEAN stack simplifies development, speeds up deployment, and supports dynamic, real-time web apps, making it ideal for diverse and innovative projects. These projects can range from small tools to full-scale applications.

This guide will help you explore the future of web development by presenting the best MEAN Stack project ideas and inspiring solutions for staying ahead in full-stack development.

25 Best MEAN Stack Project Ideas for Beginners [2025]

These 25 MEAN Stack project ideas have been carefully curated for beginner-level professionals, offering a mix of practical, creative, and scalable ideas. 

Here’s an overview of the top MEAN stack coding projects for beginners:

1. Task Management Application

Problem Statement: This is one of those beginner MEAN stack projects that requires professionals to develop a web app. The app must allow users to create, edit, and delete tasks, set deadlines, and mark them as complete. It should also provide an intuitive interface, user authentication, and task categorization to improve productivity. 

Technologies Used:

Technology	Application in the Project
MongoDB	Stores user tasks, deadlines, and task categories.
Express.js	Handles backend logic, API requests, and database interactions.
Angular	Provides a unique frontend for real-time task management.
Node.js	Manages server-side processing and authentication.

Key Features:

• User Authentication: Secure login/logout using JWT.
• Task Categorization: Group tasks under different categories.
• Due Date Reminders: Notify users about upcoming deadlines.
• CRUD Operations: Create, read, update, and delete tasks.
• Task Prioritization: Assign priority levels for better organization.
• Progress Tracking: Track tasks as complete, in progress, or pending.

Steps

Step 1: Set up the MEAN stack environment by installing Node.js, MongoDB, Angular, and Express.js.

Step 2: Initialize the backend with Express.js, set up routing, and connect to MongoDB.

Step 3: Design the database schema for storing user tasks, deadlines, categories, and authentication data.

Step 4: Implement user authentication using JWT for secure login and access control.

Step 5: Develop RESTful APIs for task management, including CRUD operations and task categorization.

Step 6: Build the Angular frontend with components for task creation, editing, deletion, and progress tracking.

Step 7: Integrate frontend with backend APIs to enable real-time task management.

Step 8: Implement due date reminders and priority levels to enhance productivity.

Step 9: Test the application for functionality, security, and performance across different devices.

Step 10: Deploy the application on a cloud platform like Heroku or AWS and optimize for scalability.

Learning Outcomes:

• Understand CRUD operations in a MEAN stack application.
• Learn secure user authentication with JWT.
• Gain experience in frontend-backend API integration.

Duration: 2-3 weeks

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2. E-commerce Platform

Problem Statement: Create an online store where users can browse products, add them to a cart, and make purchases. The platform should support user authentication, order tracking, and a secure payment system for efficient transactions.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores product details, user orders, and cart data.
Express.js	Manages API requests, order processing, and authentication.
Angular	Builds a responsive UI for browsing, cart management, and checkout.
Node.js	Handles backend logic, payment integration, and session management.

Key Features:

• Product Listings: Display items with categories, prices, and filters.
• Shopping Cart: Add, remove, and update items before checkout.
• User Authentication: Secure login, order history, and profile management.
• Payment Gateway Integration: Enable secure transactions via Stripe or PayPal.
• Order Tracking: Allow users to track their purchases in real-time.
• Admin Dashboard: Manage inventory, track orders, and update product details.

Steps

Step 1: Set up a MEAN stack development environment and configure the project structure.

Step 2: Define the product, user, and order database models in MongoDB.

Step 3: Develop RESTful APIs in Express.js for handling product retrieval, cart operations, and order management.

Step 4: Implement secure user authentication with JWT and session storage for login persistence.

Step 5: Create the Angular frontend with components for product browsing, cart updates, and checkout flow.

Step 6: Enable real-time cart updates and inventory validation before order confirmation.

Step 7: Integrate a payment gateway such as Stripe or PayPal for secure transactions.

Step 8: Set up an email notification system for order confirmation and shipment tracking.

Step 9: Design an interactive admin panel to monitor orders, manage inventory, and update product details.

Step 10: Implement role-based access control (RBAC) to restrict admin and user functionalities.

Step 11: Conduct thorough testing on both frontend and backend, focusing on security, performance, and user experience.

Step 12: Deploy the application using a cloud platform like AWS, Firebase, or DigitalOcean for scalability and reliability.

Learning Outcomes:

• Understand product database management and API development.
• Gain experience in integrating third-party payment gateways.
• Learn secure user authentication and session handling.
• Develop a fully functional, scalable e-commerce system.

Duration: 4-6 weeks

3. Social Media Dashboard

Problem Statement: Build a dashboard that aggregates data from various social media platforms to display user analytics. The application should fetch engagement metrics such as followers, likes, shares, and comments and present them in an easy-to-understand format.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores user preferences, fetched analytics, and historical data.
Express.js	Handles API requests and authentication.
Angular	Displays interactive charts, graphs, and reports.
Node.js	Manages API calls to social media platforms and processes data.

Key Features:

• API Integration: Fetch real-time analytics from platforms like Twitter, Facebook, and Instagram.
• Data Visualization: Present metrics in interactive charts and graphs.
• User Authentication: Secure login for personalized dashboards.
• Custom Reports: Allow users to generate reports based on specific time frames.
• Notifications and Alerts: Set up real-time notifications for performance changes.

Steps

Step 1: Set up the MEAN stack environment and configure the project structure for modular development.

Step 2: Register API keys for social media platforms and configure authentication mechanisms for secure data access.

Step 3: Develop API endpoints in Express.js to fetch engagement metrics from various platforms.

Step 4: Store fetched analytics data in MongoDB. 

Step 5: Implement user authentication with JWT to provide personalized dashboards based on user accounts.

Step 6: Use Angular to create UI components, including interactive charts and metric displays.

Step 7: Integrate libraries like Chart.js or D3.js for effective data visualization of analytics.

Step 8: Enable filters and custom date range selection for detailed engagement reports.

Step 9: Implement real-time notifications to alert users about significant performance changes.

Step 10: Develop a role-based access system to differentiate between users and admin functionalities.

Step 11: Optimize API calls using caching techniques to reduce excessive requests and improve performance.

Step 12: Conduct rigorous testing on API integrations, UI responsiveness, and security measures before deployment.

Step 13: Deploy the dashboard on a cloud service like AWS or Firebase to ensure scalability and real-time functionality.

Learning Outcomes:

• Gain hands-on experience working with third-party APIs.
• Learn how to process and visualize data effectively.
• Understand authentication and role-based access control.
• Develop an interactive dashboard with real-time updates.

Duration: 3-4 weeks

4. Online Education Platform

Problem Statement: Develop a platform for instructors to upload courses. The system should allow students to enroll, access lessons, and track their progress. It should also support multimedia content, assessments, and certification upon course completion.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores user profiles, course content, progress tracking, and quiz results.
Express.js	Manages authentication, course uploads, and enrollment logic.
Angular	Builds the interactive user interface for students and instructors.
Node.js	Handles server-side operations, including course delivery and notifications.

Key Features:

• Course Management: Instructors can upload video lectures, notes, and quizzes.
• User Roles: Separate dashboards for students and instructors.
• Progress Tracking: Students can track completed lessons and assessments.
• Interactive Assessments: Quizzes, assignments, and automated grading.
• Certificate Generation: Auto-generates completion certificates.

Steps

Step 1: Install and configure the MEAN stack environment by setting up MongoDB for storing course-related data.

Step 2: Define the database structure to manage courses, student progress, instructor details, and assessments.

Step 3: Implement a secure login system with role-based authentication for students and instructors.

Step 4: Build an intuitive interface where instructors can upload video lectures, PDFs, and quizzes.

Step 5: Create a course catalog that allows students to browse, enroll, and access lessons.

Step 6: Develop API endpoints to handle enrollment, lesson tracking, and quiz submissions.

Step 7: Implement a progress-tracking feature that updates as students complete lessons.

Step 8: Design interactive quizzes with automated grading and real-time feedback.

Step 9: Set up a secure payment gateway for paid courses. 

Step 10: Create a certificate generation system that automatically issues completion certificates.

Step 11: Enable push notifications and email alerts for new course updates and deadlines.

Step 12: Optimize video streaming performance to support uninterrupted learning experiences.

Step 13: Test the platform for usability, security, and performance under different user scenarios.

Step 14: Deploy the application to a cloud server and ensure proper scaling for growing users.

Learning Outcomes:

• Implement role-based access control for different user types.
• Learn how to store and manage multimedia content in a database.
• Develop a progress-tracking system with course updates.
• Gain experience integrating payment gateways for premium courses.

Duration: 4-6 weeks

5. Personal Finance Tracker

Problem Statement: Create an application that helps users monitor their income, expenses, and savings goals. The app should categorize transactions, provide financial insights, and generate reports for better budgeting.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores user transactions, income records, and savings goals.
Express.js	Handles user authentication, transaction processing, and financial reports.
Angular	Builds an interactive dashboard with charts and graphs for financial tracking.
Node.js	Manages API requests and real-time data updates.

Key Features:

• Expense Categorization: Users can tag transactions under categories like food, bills, and entertainment.
• Budget Setting: Set monthly spending limits with alerts for overages.
• Financial Reports: Generate detailed insights with charts and summaries.
• Goal Tracking: Monitor savings goals and predict future financial trends.
• Secure Login: User authentication for secure financial data access.

Steps

Step 1: Set up the MEAN stack environment and configure MongoDB to store user financial data.

Step 2: Design the database schema to manage income, expenses, savings goals, and transaction history.

Step 3: Implement a secure authentication system using JWT for user login and data privacy.

Step 4: Develop the backend API with Express.js to handle transactions, budget limits, and financial reports.

Step 5: Create an intuitive Angular-based dashboard for users to input and track expenses and income.

Step 6: Implement automatic expense categorization based on transaction descriptions.

Step 7: Develop a budget-setting feature that allows users to define monthly spending limits and track progress.

Step 8: Integrate data visualization tools to display spending trends, savings growth, and financial summaries.

Step 9: Set up goal-tracking functionality that predicts when users will achieve their savings targets.

Step 10: Implement real-time alerts and notifications when users exceed their budget limits.

Step 11: Enable exporting financial reports in PDF or CSV formats for offline tracking.

Step 12: Ensure secure data storage by encrypting sensitive financial information. A solid Node JS Tutorial can guide you in setting up the server-side of your MEAN stack project efficiently.

Step 13: Conduct extensive testing for security, accuracy, and performance under different usage conditions.

Step 14: Deploy the application on a cloud-based platform and optimize for scalability.

Learning Outcomes:

• Learn how to process and store financial data securely.
• Gain experience in real-time data aggregation and reporting.
• Work with data visualization tools to present financial insights.
• Understand the basics of financial forecasting and budget analysis.

Duration: 3-4 weeks

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6. Real-time Chat Application

Problem Statement:
Develop a chat application that enables users to communicate instantly. The app should support private messaging, group chats, and user presence indicators.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores user profiles, chat history, and group details.
Express.js	Handles user authentication, chat data routing, and API requests.
Angular	Builds the chat interface, including real-time message updates.
Node.js	Manages server-side operations and API interactions.
Socket.io	Enables real-time bidirectional communication between users.

Key Features:

• Instant Messaging: Users can send and receive messages in real-time.
• Chat Rooms: Public and private chat rooms for group discussions.
• User Presence Indicators: Show the online/offline status of contacts.
• Message History: Stores chat logs for future reference.
• Secure Authentication: Ensures only registered users can access chats.

Steps

Step 1: Set up the MEAN stack environment and install required dependencies, including Socket.io for real-time communication.

Step 2: Design the database schema in MongoDB to store user profiles, messages, and chat room details.

Step 3: Implement user authentication using JWT to ensure secure access to chat functionalities.

Step 4: Develop backend APIs using Express.js to handle user registration, login, and chat room management.

Step 5: Integrate Socket.io to enable instant messaging between users and support event-based message delivery.

Step 6: Build an Angular-based chat interface with real-time message updates and user presence indicators.

Step 7: Develop group chat functionality where multiple users can communicate within a shared chat room.

Step 8: Implement message history storage to allow users to view past conversations.

Step 9: Set up user status indicators to display online/offline availability.

Step 10: Optimize UI/UX for unique mobile and desktop chat experiences.

Step 11: Implement typing indicators and read receipts for better communication feedback.

Step 12: Ensure data encryption for messages to maintain privacy and security.

Step 13: Conduct testing for real-time responsiveness, scalability, and security vulnerabilities.

Step 14: Deploy the application to a cloud server and configure a scalable infrastructure for handling multiple users.

Learning Outcomes:

• Gain hands-on experience with real-time data exchange using WebSockets.
• Learn how to manage user authentication and chat data storage.
• Understand message queuing and event-based communication.
• Explore UI/UX considerations for responsive chat interfaces.

Duration: 2-3 weeks

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7. Personal Portfolio Website

Problem Statement: Develop a personal website to showcase projects, skills, and contact details. The website should provide an interactive platform for potential employers or clients.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores portfolio content, project details, and contact form submissions.
Express.js	Manages backend API for form handling and content retrieval.
Angular	Creates an interactive front-end experience.
Node.js	Handles server-side requests and application deployment.

Key Features:

• Project Gallery: Displays work samples with descriptions.
• Resume Download: Allows visitors to download a resume in PDF format.
• Contact Form: Enables direct communication with visitors.
• Responsive Design: Ensures compatibility across all devices.
• SEO Optimization: Improves search visibility and online presence.

Steps

Step 1: Set up a MEAN stack development environment and install required dependencies.

Step 2: Design a MongoDB database to store portfolio content, project details, and contact form submissions.

Step 3: Develop backend APIs using Express.js for retrieving portfolio data and handling form submissions.

Step 4: Implement a secure contact form with validation and backend email notifications.

Step 5: Build a responsive front-end using Angular for an engaging user experience.

Step 6: Create a project gallery section that loads content from the database.

Step 7: Add a feature for visitors to download the resume in PDF format.

Step 8: Ensure the website is mobile-friendly and optimized for different screen sizes.

Step 9: Apply SEO best practices, including metadata, structured data, and fast-loading techniques.

Step 10: Enhance UI with animations and smooth transitions for better interactivity.

Step 11: Test website performance, fix bugs, and ensure smooth user experience.

Step 12: Deploy the website on a hosting platform and configure domain settings.

Learning Outcomes:

• Understand front-end design principles for a professional-looking portfolio.
• Gain experience with form validation and backend data handling.
• Learn content management and API integration for multiple updates.
• Improve knowledge of website responsiveness and performance optimization.

Duration: 1-2 weeks

Do you want to learn more about website management with the MEAN stack? Attend the Full-stack Development Bootcamp now. 

8. Food Delivery Platform

Problem Statement: Develop a web platform that enables users to browse local restaurants, place orders, and track deliveries in real time. Studying successful examples like Zomato Marketing Strategy 2025 can provide insights into how to attract users and grow the platform effectively.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores restaurant data, menu items, user orders, and delivery statuses.
Express.js	Handles backend logic, user authentication, and API requests.
Angular	Builds an interactive user interface for browsing restaurants and ordering food.
Node.js	Manages server-side operations and real-time order updates.

Key Features:

• Restaurant Listings: Displays menus, pricing, and ratings.
• Order Tracking: Allows users to track real-time delivery status.
• Payment Integration: Supports multiple payment gateways.
• User Authentication: Ensures secure login and order history tracking.
• Geolocation Services: Helps users find nearby restaurants and track deliveries.

Steps

Step 1: Set up the MEAN stack environment and install required dependencies.

Step 2: Design a MongoDB database to store restaurant details, menu items, user orders, and delivery statuses.

Step 3: Develop backend APIs using Express.js for restaurant listings, user authentication, and order management.

Step 4: Implement a user authentication system with JWT for secure logins and session handling.

Step 5: Build a responsive front-end with Angular for browsing restaurants, placing orders, and viewing order history.

Step 6: Integrate real-time order tracking using WebSockets for live delivery status updates.

Step 7: Implement payment gateways like Stripe or PayPal for secure transactions.

Step 8: Develop a geolocation feature to help users find nearby restaurants and track deliveries.

Step 9: Add order management functionalities, including cart updates and restaurant notifications.

Step 10: Ensure mobile responsiveness and test across different devices for a unique experience.

Step 11: Optimize performance and security, handling errors and validating inputs.

Step 12: Deploy the application on a cloud platform and test end-to-end functionality.

Learning Outcomes:

• Implement geolocation and mapping services for location-based features.
• Understand payment gateway integration for efficient transactions.
• Learn order and inventory management for real-world e-commerce applications.
• Gain experience handling user sessions and secure authentication.

Duration: 4-6 weeks

9. Blogging Platform

Problem Statement: Develop a full-fledged blogging platform where users can create, edit, and publish blog posts. The platform should include features for categorizing posts, managing comments, and allowing user authentication for personalized experiences. A rich text editor should be integrated to enhance the writing and formatting experience.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores blog posts, user profiles, and comments.
Express.js	Handles API requests, authentication, and content management.
Angular	Builds the front end for blog creation, editing, and browsing.
Node.js	Manages server-side logic, data processing, and user authentication.

Key Features:

• Rich Text Editor: Provides an intuitive writing interface with formatting tools.
• Post Categorization: Enables users to organize content with tags and categories.
• Comment System: Allows readers to leave feedback and engage with posts.
• User Authentication: Ensures secure access for authors and readers.
• SEO Optimization: Implements metadata and URL structuring for better search rankings.

Steps

Step 1: Set up the MEAN stack environment and install required dependencies.

Step 2: Design a MongoDB database to store blog posts, user profiles, and comments efficiently.

Step 3: Develop backend APIs using Express.js for user authentication, post management, and comment handling.

Step 4: Implement a secure authentication system with JWT to manage user sessions and access control.

Step 5: Integrate a rich text editor to allow users to format their blog content.

Step 6: Develop an Angular front end with a user-friendly interface for blog creation, editing, and browsing.

Step 7: Implement post categorization with tags and filters for better content organization.

Step 8: Add a comment system where authenticated users can leave feedback on posts.

Step 9: Optimize the platform for SEO by generating meta tags, clean URLs, and structured data.

Step 10: Implement real-time updates for new comments and post interactions using WebSockets.

Step 11: Test the platform across devices to ensure responsiveness and a unique user experience.

Step 12: Deploy the application on a cloud platform and monitor for performance and security improvements.

Learning Outcomes:

• Gain experience in building a content management system (CMS).
• Learn how to integrate text editing tools for content creation.
• Understand database structuring for storing user-generated content.
• Develop skills in implementing user authentication and engagement features.

Duration: 4-5 weeks

10. Recipe Sharing Platform

Problem Statement: Develop a web application where users can upload, browse, and share recipes. The platform should support image uploads, detailed recipe descriptions, ingredient lists, and cooking instructions. Users should be able to search for recipes based on ingredients, categories, or keywords and interact with other users through comments or likes.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores user profiles, recipes, comments, and likes.
Express.js	Manages API requests, user authentication, and recipe handling.
Angular	Builds an interactive UI for recipe browsing, searching, and sharing.
Node.js	Handles backend operations, including file storage and data processing.

Key Features:

• Recipe Uploads: Users can submit recipes with images, ingredients, and instructions.
• Search Functionality: Allows filtering by ingredients, categories, or cooking time.
• User Authentication: Enables account creation, login, and secure recipe management.
• Like and Comment System: Encourages user engagement and feedback on shared recipes.
• File Handling: Supports image uploads for better visual presentation of recipes.

Steps

Step 1: Set up the MEAN stack environment and configure necessary dependencies.

Step 2: Design a MongoDB schema to store user profiles, recipes, ingredients, images, and user interactions (likes/comments).

Step 3: Develop backend APIs in Express.js for recipe management, user authentication, and engagement features.

Step 4: Implement secure user authentication with JWT to allow recipe uploads, edits, and interaction functionalities.

Step 5: Create a responsive Angular front end with recipe listing, filtering, and search capabilities.

Step 6: Implement file upload handling for recipe images using Multer and store them efficiently.

Step 7: Develop a search system that allows users to filter recipes based on ingredients, cooking time, and categories.

Step 8: Add interactive features such as a like and comment system to enhance engagement.

Step 9: Ensure proper input validation and error handling for recipe submissions.

Step 10: Optimize the platform for performance, including lazy loading images for a smooth experience.

Learning Outcomes:

• Work with CRUD operations by handling recipe creation, updates, and deletions.
• Learn file-handling techniques for managing images in a web application.
• Gain experience in designing a structured UI for content-heavy applications.
• Understand user authentication and interaction functionalities.

Duration: 3-4 weeks

Want to work with NoSQL databases like a pro? Consider upGrad’s MongoDB tutorial and simplify data management.

11. Job Board Platform

Problem Statement: Develop a job board platform where employers can post job listings, manage applications, and track candidates. Job seekers should be able to browse available positions, upload resumes, and apply for jobs. The system should support job filtering by category, location, and experience level.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores job listings, employer profiles, and applications.
Express.js	Manages API requests, user authentication, and job postings.
Angular	Builds an interactive UI for job searching and applications.
Node.js	Handles backend operations, including application tracking.

Key Features:

• Job Listings: Employers can post and manage job openings.
• Application Tracking: Tracks applications and allows employers to review candidates.
• Resume Uploads: Enables job seekers to upload and submit resumes.
• Search & Filter Options: Users can search for jobs based on industry, experience, or location.
• User Authentication: Secure login for employers and job seekers.

Steps

Step 1: Initialize the MEAN stack environment and set up database connections.

Step 2: Design the MongoDB schema for storing job listings, employer details, user profiles, and applications.

Step 3: Implement secure user authentication with role-based access for job seekers and employers using JWT.

Step 4: Develop Express.js APIs for job posting, resume uploads, application management, and job search.

Step 5: Build an Angular-based front end with a user-friendly job browsing and application interface.

Step 6: Integrate file upload functionality for resumes, allowing job seekers to submit applications with attachments.

Step 7: Create an intuitive dashboard for employers to track applications and shortlist candidates.

Step 8: Implement search and filtering functionalities to refine job searches based on industry, location, and experience.

Step 9: Add a notification system to alert employers and applicants about job application updates.

Step 10: Ensure proper validation for job postings and applications to maintain data integrity.

Learning Outcomes:

• Learn file handling by managing resume uploads.
• Understand user authentication for multiple user roles.
• Gain experience in designing a job search and application workflow.
• Implement filtering and search functionalities for large datasets.

Duration: 3-4 weeks

12. Online Quiz System

Problem Statement: Develop an interactive quiz platform where users can participate in quizzes, receive instant feedback, and track their scores. The platform should support multiple categories, timed quizzes, and leaderboards to encourage competition.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores quiz questions, user scores, and leaderboards.
Express.js	Handles API requests and quiz logic processing.
Angular	Provides an interactive UI for taking quizzes and viewing scores.
Node.js	Manages backend operations, including quiz scoring and session tracking.

Key Features:

• Question Banks: Store a variety of quiz questions categorized by topic.
• Timed Quizzes: Implement countdown timers for quiz attempts.
• Leaderboards: Display top scores to encourage competition.
• Instant Feedback: Show correct answers and explanations after submission.
• User Authentication: Allows users to create profiles and track progress.

Steps

Step 1: Set up the MEAN stack environment and configure MongoDB for storing quiz data.

Step 2: Design a structured database schema to organize quiz questions, categories, user scores, and leaderboards.

Step 3: Implement user authentication and session management using JWT for secure access.

Step 4: Develop Express.js APIs to handle quiz creation, retrieval, submissions, and score tracking.

Step 5: Build an Angular-based UI for an engaging quiz experience, including interactive question displays.

Step 6: Integrate a countdown timer feature to manage time-limited quizzes.

Step 7: Create logic for instant feedback, allowing users to see correct answers and explanations after each question.

Step 8: Implement leaderboard functionality to display top scores. 

Step 9: Optimize the quiz-taking experience with smooth navigation and real-time score updates.

Step 10: Ensure backend validation to prevent duplicate attempts or unfair advantages.

Step 11: Conduct user testing and refine the platform for an intuitive experience.

Learning Outcomes:

• Develop state management techniques for quiz interactions.
• Implement timed events and countdown features in web applications.
• Gain experience with real-time score tracking and leaderboard integration.
• Understand how to structure a database for quiz-based applications.

Duration: 2-3 weeks

13. Inventory Management System

Problem Statement: Build an inventory management system that allows businesses to track stock levels, supplier details, and sales data. The system should provide alerts for low stock, generate reports, and allow employees to access features based on their roles.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores product details, stock levels, and supplier information.
Express.js	Manages API requests and business logic for inventory tracking.
Angular	Creates a dashboard for viewing and managing inventory data.
Node.js	Handles backend processes, including stock updates and report generation.

Key Features:

• Stock Tracking: Monitor inventory levels in real-time.
• Supplier Details: Maintain supplier contacts and order history.
• Sales Reports: Generate reports based on stock movement and sales data.
• Low Stock Alerts: Notify users when items are running low.
• Role-Based Access: Restrict functionalities based on user roles (admin, manager, or staff).

Steps

Step 1: Set up the MEAN stack environment and configure MongoDB to store product details, stock levels, and supplier data.

Step 2: Design a well-structured database schema to manage inventory items, suppliers, and sales transactions.

Step 3: Implement user authentication with role-based access control to restrict functionalities for different users (admin, manager, staff).

Step 4: Develop Express.js APIs to handle stock updates, supplier management, and sales tracking.

Step 5: Build an interactive Angular dashboard to display stock levels, supplier details, and sales insights in real-time.

Step 6: Integrate stock alert functionality to notify users when inventory levels drop below a specified threshold.

Step 7: Implement sales report generation to analyze stock movement and business performance.

Step 8: Develop an intuitive search and filtering system to quickly locate inventory items.

Step 9: Ensure secure data handling by implementing proper validation, authentication, and access restrictions.

Step 10: Optimize API performance to ensure smooth handling of stock transactions and updates.

Step 11: Test the system thoroughly to verify role-based access, stock tracking accuracy, and report generation efficiency.

Step 12: Deploy the system on a cloud platform and configure monitoring tools for real-time performance tracking.

Learning Outcomes:

• Understand database schema design for inventory management.
• Learn how to implement real-time stock tracking and updates.
• Develop an admin dashboard for efficient inventory monitoring.
• Gain experience in generating automated reports from stored data.

Duration: 3-4 weeks

Read More: The Future Scope of MongoDB

14. Healthcare Appointment System

Problem Statement: Design a web-based healthcare appointment system that allows patients to book, reschedule, or cancel doctor appointments. The system should support doctor availability management, patient history tracking, and automated notifications for upcoming visits. Role-based access should ensure that doctors, patients, and administrators have appropriate permissions.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores patient records, appointment schedules, and doctor availability.
Express.js	Handles API requests for booking, cancelling, and rescheduling appointments.
Angular	Builds an interactive interface for patients and doctors to manage appointments.
Node.js	Manages backend processes, including appointment logic and notifications.

Key Features:

• Appointment Booking: Patients can schedule appointments based on doctor availability.
• Patient History: Stores previous appointments and medical records.
• Notifications & Reminders: Sends email or SMS reminders for upcoming appointments.
• Role-Based Access: Doctors, patients, and administrators have different levels of access.
• Rescheduling & Cancellations: Allows easy modifications to appointments.

Steps

Step 1: Set up the MEAN stack environment and configure MongoDB to store patient records, doctor schedules, and appointment details.

Step 2: Design a structured database schema to manage doctors, patients, and appointment history efficiently.

Step 3: Implement user authentication and role-based access control to ensure different access levels for doctors, patients, and administrators.

Step 4: Develop Express.js APIs to handle appointment bookings, rescheduling, cancellations, and fetching patient history.

Step 5: Create an intuitive Angular-based UI for patients to search for doctors, view availability, and book appointments.

Step 6: Develop a doctor dashboard to manage availability, view appointments, and access patient history.

Step 7: Implement automated email/SMS notifications for upcoming appointments, cancellations, and rescheduling updates.

Step 8: Integrate a calendar view for both patients and doctors to enhance appointment management.

Step 9: Ensure secure data handling with proper authentication and encryption of sensitive medical information.

Step 10: Optimize API performance for quick appointment retrieval and scheduling.

Step 11: Test the system thoroughly, including user role restrictions, notifications, and booking modifications.

Step 12: Deploy the system on a cloud platform and implement monitoring tools for real-time tracking.

Learning Outcomes:

• Learn how to manage multiple user roles and permissions.
• Understand database relationships for handling patient records.
• Gain experience in implementing real-time notifications.
• Develop a UI for healthcare scheduling systems.

Duration: 3-5 weeks

15. Budget Planner

Problem Statement: Develop a budget planning application that helps users track their income, expenses, and savings goals. The platform should allow users to set spending limits, generate financial reports, and visualize their spending patterns over time.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores user financial data, categorized transactions, and budget plans.
Express.js	Manages API requests for financial data processing.
Angular	Builds an intuitive UI for tracking expenses and generating reports.
Node.js	Handles backend calculations and budget analysis.

Key Features:

• Expense Tracking: Users can categorize and log expenses.
• Budget Planning: Allows users to set spending limits and savings goals.
• Financial Reports: Generates monthly and yearly expense summaries.
• Data Visualization: Graphs and charts display spending patterns.
• Secure Authentication: Ensures user financial data is protected.

Steps

Step 1: Set up the MEAN stack environment and configure MongoDB to store user financial data, categorized transactions, and budget plans.

Step 2: Design a structured database schema to handle user accounts, income, expenses, and savings goals efficiently.

Step 3: Implement user authentication and secure login to protect financial data.

Step 4: Develop Express.js APIs to handle transaction logging, budget setting, and financial reporting.

Step 5: Create an Angular-based dashboard for users to input expenses, track budgets, and set savings goals.

Step 6: Integrate interactive charts and graphs to visualize spending trends over time.

Step 7: Implement automatic categorization of expenses based on transaction descriptions.

Step 8: Develop a notification system to alert users when they exceed budget limits.

Step 9: Optimize backend calculations to provide real-time budget analysis.

Step 10: Ensure data security with encryption for sensitive financial information.

Step 11: Conduct testing for expense logging, budget tracking, and financial report accuracy.

Step 12: Deploy the application and monitor user interactions for potential improvements.

Learning Outcomes:

• Learn how to aggregate and analyze financial data.
• Develop interactive data visualization components.
• Gain experience in handling secure user authentication.
• Understand best practices for financial application UI/UX.

Duration: 2-4 weeks

Want to build real-world applications with MongoDB? Get started with MongoDB Project Ideas for Beginners blog and level up your skills.

16. Music Streaming App

Problem Statement: Develop a music streaming application that allows users to search for songs, create and manage playlists, and stream music in real-time. The app should support media file handling, user-generated playlists, and integration with external music APIs for fetching metadata.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores user playlists, song metadata, and playback history.
Express.js	Manages API requests for music streaming and playlist management.
Angular	Creates a user-friendly interface for browsing, playing, and managing music.
Node.js	Handles backend media streaming and API integration.

Key Features:

• Audio Streaming: Users can play songs without downloading them.
• User-Generated Playlists: Users can create, edit, and share playlists.
• Search Functionality: Find songs, albums, and artists using search filters.
• Media File Handling: Supports music file uploads and streaming.
• API Integration: Fetches song details and recommendations from external APIs.

Steps

Step 1: Set up the MEAN stack environment and configure MongoDB to store user playlists, song metadata, and playback history.

Step 2: Design a database schema to handle songs, albums, artists, and user-generated playlists efficiently.

Step 3: Implement secure user authentication and profile management.

Step 4: Develop Express.js APIs to manage playlist creation, song searches, and streaming requests.

Step 5: Integrate an external music API to fetch song metadata and recommendations.

Step 6: Build an Angular-based UI for browsing, searching, and playing music. 

Step 7: Implement an efficient media streaming mechanism using Node.js to ensure smooth playback.

Step 8: Add playlist management features, allowing users to create, edit, and share playlists.

Step 9: Optimize the search functionality with filters based on song title, artist, genre, and album.

Step 10: Ensure responsive design for streaming on both desktop and mobile devices.

Step 11: Conduct performance testing to minimize buffering and improve user experience.

Step 12: Deploy the application and gather user feedback for future improvements.

Learning Outcomes:

• Understand how to work with media files and real-time streaming.
• Gain experience integrating external APIs for music metadata retrieval.
• Learn how to optimize performance for audio playback in a web application.
• Develop intuitive UI components for a unique listening experience.

Duration: 3-5 weeks

17. Learning Management System

Problem Statement: Develop a web-based Learning Management System (LMS) that enables students to enroll in courses, track progress, and interact with instructors. The platform should include an instructor dashboard for managing courses, assessments, and student performance.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores course content, student progress, and instructor details.
Express.js	Manages API requests for course enrollment, assessments, and user roles.
Angular	Builds an intuitive interface for students and instructors.
Node.js	Handles authentication, course management, and backend logic.

Key Features:

• Course Enrollment: Students can browse and enroll in available courses.
• Progress Tracking: Monitors student completion rates and assessment scores.
• Instructor Dashboard: Instructors can upload content, track student progress, and manage assessments.
• Role-Based Access Control: Differentiates between student and instructor permissions.
• Discussion Forum: Enables student-instructor interaction.

Steps

Step 1: Set up the MEAN stack environment and configure MongoDB to store course data, student progress, and instructor details.

Step 2: Design a structured database schema to manage course materials, assessments, and student interactions efficiently.

Step 3: Implement secure authentication and role-based access control for students and instructors.

Step 4: Develop APIs using Express.js to handle course enrollment, progress tracking, and content management.

Step 5: Build an Angular-based UI and implement a student dashboard for tracking enrolled courses, completed lessons, and assessment scores.

Step 6: Develop an instructor dashboard for managing course content, tracking student progress, and analyzing performance metrics.

Step 7: Create a discussion forum where students can interact with instructors and peers.

Step 8: Add an assessment and grading system to evaluate student performance.

Step 9: Implement progress-tracking features, enabling students to monitor course completion.

Step 10: Ensure responsive design for optimal usability on desktops, tablets, and mobile devices.

Step 11: Test for functionality, security, and performance before deployment.

Step 12: Deploy the LMS and collect feedback for improvements.

Learning Outcomes:

• Gain hands-on experience implementing role-based authentication.
• Learn how to manage structured course data and user interactions.
• Explore UI/UX best practices for e-learning platforms.
• Understand backend logic for progress tracking and data relationships.

Duration: 4-6 weeks

18. Car Rental System

Problem Statement: Develop an online car rental platform that allows users to browse available vehicles, make reservations, and complete online payments. The system should securely manage car availability, booking history, and payment processing.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores vehicle inventory, booking records, and user details.
Express.js	Handles booking requests, car availability updates, and payment transactions.
Angular	Builds the user interface for searching for cars and making reservations.
Node.js	Manages backend processes, authentication, and API interactions.

Key Features:

• Car Availability Tracking: Users can check which vehicles are available for rental.
• Online Booking: Allows users to reserve cars for specific dates and locations.
• Payment Processing: Integrates secure payment gateways for online transactions.
• Booking History: Maintains a record of past and upcoming reservations.
• User Authentication: Ensures secure access for customers and rental agencies.

Steps

Step 1: Set up the MEAN stack environment and configure MongoDB to store vehicle inventory, booking records, and user details.

Step 2: Design a structured database schema to manage car availability, rental history, and customer information.

Step 3: Implement secure user authentication for customers and rental agencies.

Step 4: Develop Express.js APIs for handling bookings, car availability updates, and user management.

Step 5: Build an Angular-based user interface for browsing vehicles, making reservations, and managing bookings.

Step 6: Integrate a secure payment gateway for online transactions.

Step 7: Implement real-time availability tracking to ensure no double bookings.

Step 8: Create a booking history section where users can view past and upcoming reservations.

Step 9: Develop an admin dashboard for rental agencies to add new cars, update availability, and manage customer bookings.

Step 10: Ensure responsive design for usage on mobile and desktop devices.

Step 11: Test for functionality, security, and user experience before deployment.

Step 12: Deploy the system and gather user feedback for further improvements.

Learning Outcomes:

• Learn how to handle API-driven booking systems.
• Gain experience integrating payment gateways.
• Understand car inventory management and real-time availability tracking.
• Develop an efficient UI for rental reservations and user authentication.

Duration: 3-5 weeks

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19. Ticket Booking System

Problem Statement: Create an online event ticket booking system that enables users to browse events, select seats, and generate digital tickets. The platform should support real-time seat availability and secure payment processing.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores event details, seat reservations, and user bookings.
Express.js	Manages ticket bookings, payment transactions, and event listings.
Angular	Builds an interactive UI for event browsing and seat selection.
Node.js	Handles backend processes, payment verification, and seat management.

Key Features:

• Event Listings: Users can browse upcoming events and view event details.
• Seat Selection: Interactive seat map for choosing preferred seating.
• Digital Ticket Generation: Generates QR codes for booked tickets.
• Payment Gateway Integration: Secure transactions for ticket purchases.
• Booking Management: Users can view, cancel, or modify reservations.

Steps

Step 1: Set up the MEAN stack environment and configure MongoDB to store event details, seat reservations, and user bookings.

Step 2: Design the database schema to ensure efficient seat allocation, event organization, and booking history management.

Step 3: Implement user authentication to allow secure access for event organizers and attendees.

Step 4: Develop Express.js APIs to handle event listings, ticket bookings, and user reservations.

Step 5: Create an interactive UI with Angular for event browsing and seat selection.

Step 6: Integrate a real-time seat selection system that updates availability.

Step 7: Implement secure payment gateway integration to process ticket purchases.

Step 8: Develop a digital ticket generation system, including QR codes for entry verification.

Step 9: Add a booking management section where users can view, modify, or cancel their reservations.

Step 10: Create an admin panel for event organizers to manage ticket sales, track attendance, and update event details.

Step 11: Ensure mobile responsiveness and user-friendly design for ticket booking.

Step 12: Conduct testing for security, real-time updates, and performance optimization before deployment.

Learning Outcomes:

• Gain experience working with database normalization for ticketing systems.
• Learn how to implement seat selection and real-time availability updates.
• Understand payment gateway integration for online booking platforms. 
• Explore best practices for generating digital tickets and QR codes.

Duration: 3-4 weeks

Read More: How To Integrate Stripe APIs Using Node JS

20. Real Estate Listing Platform

Problem Statement: Develop an online marketplace where users can browse, list, and inquire about real estate properties. The platform should allow property owners and agents to upload listings with images, descriptions, and pricing, while potential buyers or renters can search based on location, price, and property type.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores property listings, agent profiles, and user inquiries.
Express.js	Manages API requests for property searches and listing management.
Angular	Builds an interactive UI for property browsing and agent profiles.
Node.js	Handles backend logic, authentication, and image processing.

Key Features:

• Property Search: Users can filter properties by location, price range, and type.
• Agent Profiles: View details of real estate agents and contact them directly.
• Image Uploads: Allows property owners to upload high-quality images.
• User Authentication: Secure login for buyers, sellers, and agents.
• Favorites & Inquiries: Users can save listings and contact sellers.

Steps

Step 1: Set up the MEAN stack environment and configure MongoDB to store property listings, agent profiles, and user inquiries.

Step 2: Design a database schema optimized for efficient property searches, user authentication, and image storage.

Step 3: Implement user authentication and role-based access for buyers, sellers, and agents.

Step 4: Develop Express.js APIs to handle property listings, user inquiries, and agent profile management.

Step 5: Create an interactive Angular UI for browsing properties, filtering searches, and viewing agent profiles.

Step 6: Implement a property search and filtering system based on location, price range, and property type.

Step 7: Enable secure image uploads and processing for high-quality property photos.

Step 8: Develop a favorites feature allowing users to save preferred listings.

Step 9: Implement a direct inquiry system for users to contact property owners or agents.

Step 10: Create an admin panel for real estate agents to manage property listings and inquiries.

Step 11: Ensure the platform is mobile-responsive and optimized for fast loading times.

Step 12: Conduct security testing and optimize database performance before deployment.

Learning Outcomes:

• Gain experience with database optimization for large datasets.
• Learn how to handle media storage and image processing.
• Develop an intuitive search and filtering system.
• Implement authentication for different user roles.

Duration: 3-5 weeks

Looking for hands-on experience with Node.js? Refer to upGrad’s Node.js Project Ideas for Beginners blog and improve your coding skills.

21. Forum and Discussion Board

Problem Statement: Create a web-based community platform where users can post discussion threads, reply to topics, and engage in meaningful conversations. The platform should support role-based permissions, content moderation, and nested discussions.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores user profiles, discussion threads, and comments.
Express.js	Manages API requests for posting, editing, and deleting discussions.
Angular	Creates UI for threaded discussions and user interactions.
Node.js	Handles backend authentication, permissions, and moderation tools.

Key Features:

• Threaded Discussions: Users can create topics and reply in nested comments.
• User Roles: Assign permissions for moderators, admins, and regular users.
• Content Moderation: A flagging system for inappropriate content.
• Search & Categorization: Organizes discussions by topic and relevance.
• User Profiles: Displays user activity, contributions, and badges.

Steps

Step 1: Set up the MEAN stack environment and configure MongoDB to store user profiles, discussion threads, and comments.

Step 2: Design a database schema that supports nested comments, user roles, and content moderation. You can use Database Schemas tutorials to help you.

Step 3: Implement Express.js APIs to handle posting, replying, editing, and deleting discussions.

Step 4: Develop an authentication system with role-based access control for admins, moderators, and regular users.

Step 5: Build an Angular frontend with a threaded discussion UI, including nested replies and upvotes or downvotes.

Step 6: Implement a search and categorization feature to allow users to find discussions based on relevance.

Step 7: Develop a content moderation system, including flagging and reporting features for inappropriate content.

Step 8: Enable user profiles with activity history, badges, and reputation scores.

Step 9: Optimize performance for handling large discussion threads with pagination and real-time updates.

Step 10: Test and refine user interactions across devices.

Learning Outcomes:

• Implement a nested commenting system for better discussion structuring.
• Gain experience in role-based access control.
• Learn how to integrate search functionality for large datasets.
• Develop a moderation system to ensure community guidelines.

Duration: 3-4 weeks

22. Multi-user Blogging Platform

Problem Statement: Develop a multi-user blogging platform where registered users can write, edit, and publish blog posts. The platform should include a rich text editor, a tagging system, and user profiles to manage published articles.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores blog posts, user profiles, and comments.
Express.js	Handles API requests for post creation, editing, and user authentication.
Angular	Develops the front-end interface for blog writing and browsing.
Node.js	Manages backend operations such as authentication and file storage.

Key Features:

• Rich Text Editor: Users can format and style blog content easily.
• Tagging System: Helps categorize blog posts by topic.
• User Profiles: Displays user-written posts and contributions.
• Comment System: Allows users to engage with published content.
• Draft and Publish Options: Users can save drafts and schedule posts.

Steps

Step 1: Set up the MEAN stack environment and configure MongoDB to store user profiles, blog posts, and comments.

Step 2: Design a database schema to handle structured blog data, user profiles, tags, and comments.

Step 3: Implement Express.js APIs for user authentication, blog post creation, editing, and retrieval.

Step 4: Develop a role-based authentication system to allow only registered users to write and edit blogs.

Step 5: Build an Angular frontend with a rich text editor for blog formatting and media uploads.

Step 6: Implement a tagging system to categorize blog posts by topics for easy filtering.

Step 7: Develop a comment system that allows users to engage with published articles.

Step 8: Enable draft and publish functionalities, allowing users to save unfinished posts.

Step 9: Optimize the UI for responsiveness. 

Step 10: Test the platform for security, performance, and usability before deployment.

Learning Outcomes:

• Learn how to handle file uploads and media storage.
• Gain experience implementing authentication for multiple users.
• Understand database design for handling large content archives.
• Work on front-end UI elements for better user engagement.

Duration: 3-5 weeks

23. Fitness and Workout Planner

Problem Statement: Develop a fitness and workout planning application that enables users to schedule workouts, track progress, and integrate with calendar APIs. The app should allow users to set fitness goals and log daily workout routines.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores workout plans, user progress, and fitness goals.
Express.js	Manages API requests for workout scheduling and tracking.
Angular	Creates an interactive UI for logging workouts and tracking progress.
Node.js	Handles backend logic, user authentication, and analytics.

Key Features:

• Workout Plans: Users can create personalized fitness schedules.
• Progress Tracking: Logs completed workouts and progress over time.
• Calendar Integration: Syncs workouts with external calendars.
• Exercise Library: Provides recommended exercises and tutorials.
• Notifications & Reminders: Alerts users to upcoming workouts.

Steps

Step 1: Set up the MEAN stack environment and configure MongoDB to store user workout plans, progress logs, and fitness goals.

Step 2: Design a database schema to manage structured fitness data, including exercises, user preferences, and achievements.

Step 3: Implement Express.js APIs for creating, updating, and retrieving workout plans and tracking progress.

Step 4: Develop authentication and authorization features to ensure secure access for users.

Step 5: Build an Angular frontend with an interactive dashboard for logging workouts and tracking performance over time.

Step 6: Integrate a third-party calendar API to sync workout schedules.

Step 7: Develop a library of exercises, including instructional videos or GIFs for guidance.

Step 8: Implement notification and reminder features to alert users about upcoming workouts.

Step 9: Optimize the UI/UX for mobile and desktop compatibility. 

Step 10: Conduct testing for performance, security, and usability before deploying the application.

Learning Outcomes:

•  Learn to integrate third-party calendar APIs for scheduling.
• Gain experience developing interactive dashboards for user data.
• Understand the importance of user engagement and tracking features.
• Work with fitness-related data and visualization techniques.

Duration: 3-4 weeks

24. Real-time Stock Price Tracker

Problem Statement: Build a web-based stock price tracker that provides real-time stock updates, historical performance data, and portfolio management. The application should use WebSockets for live price updates and allow users to track specific stocks.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores user watchlists, portfolio data, and historical stock prices.
Express.js	Manages API requests for retrieving stock data and user preferences.
Angular	Develops a real-time dashboard for displaying stock market trends.
Node.js	Handles backend logic, stock price updates, and WebSocket connections.
WebSockets	Enables real-time updates for stock price changes.

Key Features:

• Live Stock Updates: Displays real-time stock prices from financial APIs.
• Historical Data Analysis: Provides past performance trends.
• Portfolio Management: Users can track and manage investments.
• Stock Alerts: Sends notifications for price changes.
• Search & Filtering: Allows users to find specific stocks easily.

Steps

Step 1: Set up the MEAN stack environment and configure MongoDB to store user portfolios, watchlists, and historical stock data.

Step 2: Integrate a third-party stock market API to fetch real-time stock prices.

Step 3: Use WebSockets in Node.js to enable live stock price updates and push them to the frontend.

Step 4: Develop Express.js APIs for user authentication, stock search, and watchlist management.

Step 5: Build an Angular-based real-time dashboard to display stock price changes, trends, and historical data visualizations.

Step 6: Implement a portfolio management feature that allows users to track their stock investments and overall performance.

Step 7: Add stock alert functionality, notifying users when selected stocks hit specific price points.

Step 8: Optimize search and filtering capabilities for better stock discovery and tracking.

Step 9: Conduct testing for real-time responsiveness, data accuracy, and security.

Step 10: Deploy the application and ensure continuous updates from stock APIs for a smooth user experience.

Learning Outcomes:

• Learn how to work with WebSockets for real-time data updates.
• Gain experience in integrating third-party stock market APIs.
• Develop a unique UI for displaying financial data and trends.
• Understand best practices for managing and storing financial data.

Duration: 3-5 weeks

25. AI-Powered Resume Screener

Problem Statement: Develop an AI-powered resume screening tool is among the popular 2025 web development projects that automatically analyzes resumes and shortlists candidates based on predefined criteria. The system should support resume uploads, extract key details using Machine Learning APIs, and rank candidates based on relevance.

Technologies Used:

Technology	Application in the Project
MongoDB	Stores candidate resumes extracted data, and ranking results.
Express.js	Manages API requests for resume uploads, analysis, and shortlisting.
Angular	Builds an intuitive UI for recruiters to review shortlisted candidates.
Node.js	Handles backend logic, authentication, and file processing.
Machine Learning APIs	Extracts key information, performs keyword analysis, and ranks resumes.

Key Features:

• Resume Uploads: Users can submit resumes in various formats (PDF, DOCX).
• Keyword Analysis: Uses AI to extract skills, experience, and qualifications.
• Ranking System: Assigns scores to resumes based on job requirements.
• Automated Shortlisting: Filters candidates based on relevance.
• Recruiter Dashboard: Displays shortlisted resumes and analytics.

Steps

Step 1: Set up the MEAN stack environment and configure MongoDB to store candidate resumes, extracted data, and ranking results.

Step 2: Integrate Machine Learning APIs (such as OpenAI, Google Cloud Natural Language, or spaCy) to extract key details from resumes, including skills, experience, and qualifications.

Step 3: Use Express.js to create API endpoints for resume uploads, AI-driven analysis, and candidate ranking.

Step 4: Develop a secure file handling system in Node.js to process PDF and DOCX files, converting them into structured data.

Step 5: Implement a keyword-based ranking algorithm that scores resumes based on job descriptions.

Step 6: Design an Angular-based recruiter dashboard that displays shortlisted resumes, scores, and filtering options.

Step 7: Enable automated shortlisting based on predefined job criteria and AI analysis.

Step 8: Incorporate a search and filtering system to refine candidate selection.

Step 9: Conduct testing to ensure AI accuracy, file processing efficiency, and secure data handling.

Step 10: Deploy the application with continuous improvements in AI ranking models and recruiter UI enhancements.

Learning Outcomes:

• Gain experience integrating AI and Machine Learning APIs.
• Learn how to automate decision-making processes using AI models.
• Understand file handling and text extraction techniques.
• Develop a recruiter-friendly interface with filtering and ranking systems.

Duration: 4-6 weeks

Want to know how JavaScript can boost your career? Read upGrad’s Top 10 Reasons Why You Should Learn JavaScript blog and find out.