Top Major Projects For Computer Science [CSE] Students in 2025

Computer Science Engineering (CSE) continues to be the most sought-after engineering stream in India, chosen by millions of students every year. But what truly sets students apart in this competitive field? It’s their ability to translate textbook knowledge into real-world tech solutions — and that's where final year projects for CSE make all the difference. These hands-on projects are more than academic requirements; they’re a platform to demonstrate creativity, innovation, and practical technical skills.

In this blog, we’ve handpicked the top 25 major projects for CSE final year students in 2025, spanning trending domains like Artificial Intelligence, Web Development, IoT, Blockchain, Cybersecurity, Cloud Computing, and EdTech. 

Whether you're looking for mini project ideas for CSE, final year ideas, or real-world applications to boost your portfolio, this list covers it all. So, dive in and find the perfect final year CSE project to supercharge your academic and professional journey.

💡 Did You Know?

Over 80% of tech recruiters say that a well-executed final year project gives candidates an edge during interviews — especially those in AI, cybersecurity, and cloud computing domains!

How to Choose a Major Project for CSE Final Year Students? 

With numerous CSE project ideas available online, it can be overwhelming for students to pick one. The final year project is a great opportunity to showcase your programming knowledge by developing problem-solving systems. It helps you familiarize yourself with the latest developments in the CSE field. You can also impress the recruiters by working on an interesting project, increasing your chances of getting hired. Hence, choosing a major project for the CSE final year is the most important step. Consider the following points before deciding on your project topic:

• Pick a CSE domain like web development, robotics, data science, or systems and networks. Assess your interests and technical skills that you can use to solve a problem.
• Integrate your chosen domain with trending technologies, such as classification algorithms, IoT, and more, to choose a topic that also aligns with your future career goals.
• Check if projects on similar topics exist on platforms like GitHub and see how you can improve them.
• Reach out to your college professors/faculty for the CSE project guidance. You can also use public forums like Quora or Reddit to seek help from peers and other CSE graduates.

Top 25 Major Projects for CSE Final Year Students for 2025

Choosing the right final year project for CSE students can shape not only your resume but also your confidence and career direction. With emerging technologies like IoT, Deep Learning, Blockchain, and Artificial Intelligence, CSE students have a wide range of innovative major project ideas to explore. These aren’t just textbook assignments — they’re real-world solutions waiting to be built.

To help you make the best choice, we've divided the final year major project ideas for CSE students into seven major categories based on trending domains. Each category contains curated project ideas with problem statements, project overviews, and the tech stack required to build them.

Here’s a quick look at the 7 categories of major projects for CSE final year students:

•  Artificial Intelligence / Machine Learning Projects
•  Web Development Projects
•  Internet of Things (IoT) Projects
•  Digital Image Processing / Computer Vision Projects
•  Blockchain & Cybersecurity Projects
•  Cloud & Data Projects
•  Immersive Tech & EdTech Projects

Pro Tip

Choose a project that solves a real-world problem. Recruiters love candidates who go beyond theory and focus on practical applications with measurable impact.

Artificial Intelligence / Machine Learning Projects

Artificial Intelligence and Machine Learning aren’t just buzzwords anymore — they’re shaping the future. Whether you're solving real-world healthcare problems or catching financial fraud with smart algorithms, these final year projects for computer science students give you the chance to make machines smarter and your resume stronger. If you’re excited about training models and building intelligent systems, this domain is your launchpad into cutting-edge tech.

Below is a list of top final year projects for CSE in Artificial Intelligence and Machine Learning:

1. Predictive Analytics for Healthcare (Machine Learning for Disease Detection)

Problem Statement: If doctors could accurately predict diseases, the treatment process would be faster. Identifying patterns in patients’ data and medical histories could save many lives.

Project Overview: Computer science project development in predictive analysis will help you combine your technical skills with the noble act of saving lives. The objective is to develop an evidence-based system using patients’ data to analyze patterns and provide accurate health forecasts. This medical data will aid in the early detection of diseases for prompt treatment and improved patient recovery.

You will use machine learning models and artificial intelligence to predict disease in real time. Start by choosing a disease for your study, such as tuberculosis or COVID-19. To predict potential health risks, you can use a publicly available dataset from Kaggle or create a database with patient symptoms, medical history, and lab results. After preprocessing the data, extract features and train your model to predict the disease.

Skills Acquired:

• Predictive Modeling
• Machine learning
• Data analysis
• Healthcare domain knowledge
• Data visualization
• Ethical AI development

2. Data Science-Based Sentiment Analysis of X (Twitter) Data 

Problem Statement: X, previously known as Twitter, is one of the most widely used social media platforms where people voice their opinions. With millions of tweets posted daily, organizations use Twitter to understand user sentiments. However, reading thousands of tweets manually is impossible.

Project overview: This computer science engineering project aims to create a system that collects tweets about specific topics or brands and analyzes sentiment. The system will consider the subject's polarity: positive, negative, or neutral. Twitter Sentiment Analysis (TSA) will help predict trends and patterns through easy-to-understand visualizations.

To approach the project, choose a domain like product reviews or news to perform sentiment analysis. Collect data from existing datasets on Kaggle. Process the data by reducing noise and tokenizing it. Implement deep learning algorithms and machine learning frameworks to build a classification model. You can develop an app or web page to display your analysis tool.

Skills Acquired:

• Natural Language Processing
• Social media API integration
• Social Media Analytics
• Real-time data processing
• Data visualization
• Sentiment Classification
• Statistical analysis

Duration: 6-7 months

3. Chatbot for Personalized Student Assistance 

Problem Statement: Students often struggle to find quick answers about courses, schedules, and college procedures. They need a 24/7 assistant that can help them instantly. A self-learning AI chatbot will assist students with online education by mimicking a human teacher. Foreign or exchange students can use it to get information in their language. These chatbots can track students' progress and use their past questions for personalized responses.

Project Overview: The project aims to create an AI chatbot that answers student queries about courses, exam schedules, and admission processes. The bot will learn from past conversations to provide better answers over time. This is an innovative project idea that will help you gain a deeper understanding and practical uses of machine learning.

For this project, you must know how to make a chatbot in Python. To get started, compile common student queries and store them in a vector database for Natural Language Processing (NLP) to process this information. An NLP translates human language into machine language to process the data. Integrate NLP with the backend and a database to feed and retrieve student data. Develop an app with a chatbot User Interface (UI) where students can input their questions and interact with the chatbot. To provide personalized outcomes, use a database to store students' responses.

Skills Acquired

• Natural Language Processing
• Machine Learning
• Database management
• API integration
• Conversational AI design

Duration: 6 months

To strengthen your basics on Natural Language Processing, Check out upGrad’s NLP Courses. 

4.  Android App for Battery Optimization Using AI

Problem Statement:  From communicating with friends to scheduling appointments, the everyday use of smartphones has increased. Many apps continue running in the background, causing the battery to drain quickly. For users, it becomes challenging to identify which app is responsible for the low battery.

Project Overview: Android app development is one of the top CSE final-year projects. This project aims to create an Android app that uses AI to learn user patterns, identify battery-draining apps, and suggest optimization strategies. The app will include features like automated app hibernation. It will analyze user behavior to predict battery usage patterns and provide real-time battery status updates.

Sketch out a wireframe for your Android app with a UI to display battery usage and UX for navigation. You can use the Android Studio tutorial to develop the app and utilize the BatteryManager API to collect battery usage statistics. Utilize UsageStatsManager to gather data about app usage and identify power-draining apps. Collect the data, train your AI model, and integrate it into the app using TensorFlow. Finally, publish your app on the Google Play Store.

Skills Acquired:

• Android development
• Mobile ML implementation
• Battery optimization techniques
• User behavior analysis
• Performance optimization

Duration: 6 months

5. AI-Powered Currency Classification System

Problem Statement: Banks and businesses struggle to quickly and accurately sort various currency notes. Manual sorting is time-consuming and prone to errors, especially with worn-out notes.

Project Overview: This project aims to create a smart system that uses AI to identify different types of currency notes instantly. The system will use a camera to scan notes and determine their value, even for slightly damaged notes. It will include a user-friendly interface for uploading images and displaying results.

Begin by learning image processing techniques and machine learning fundamentals. Familiarize yourself with libraries like OpenCV, TensorFlow, or PyTorch for image processing and model training. Use publicly available datasets to collect and preprocess currency data. For currency classification tasks, start with a pre-trained model such as MobileNetV2, ResNet, or VGG16 and train it. Build a user-friendly interface with a front end to test the system.

Skills Acquired:

• Computer vision
• Deep learning
• Image processing
• Model training
• Real-time systems
• Data preprocessing

Duration: 6-7 months

6. Credit Card Fraud Detection System Using Machine Learning

Problem Statement: Credit card scams have become very common today. Manual and rule engine detection methods may detect fraud but fail to catch new scammers. A machine learning detection system may help in identifying scams and hackers by using AI to detect security risks.

Project Overview: This project aims to develop a smart system that identifies fraudulent transactions in real-time. The system will learn from past transactions to detect suspicious patterns and alert security teams immediately. Machine learning algorithms will classify transactions as legitimate or fraudulent.

Start by researching fraud detection methods, such as anomaly detection and supervised learning. Install Python and libraries such as NumPy and Scikit-learn. Load the dataset into a DataFrame for analysis and clean the data. Divide the datasets using a train-test split and build a machine-learning model. Create a simple user interface and deploy it.

Skills Acquired:

• Machine learning
• Data analysis
• Fraud detection
• Real-time processing
• Risk assessment
• Financial technology

Duration: 6 months

7. AI-Powered Resume Screening Tool for Recruitment

Problem Statement: HR teams spend too much time manually screening resumes. They need an automated system to identify the best candidates quickly. This system can identify the job requirements and select applicants with a matching skill set.

Project Overview: This project will help you understand the use of Artificial Intelligence in human resource management. It aims to develop an AI system that reads resumes and identifies the most qualified candidates. The automation system uses a machine learning model to assess skills, experience, and qualifications from resumes.

To get started, create a project structure using Python. Collect datasets of resumes, process the data, and label them to train the machine learning model. Develop an app or web interface for recruiters to upload resumes and view the screening results.

Skills Acquired:

• Natural language processing
• Text analysis
• Machine learning
• HR automation
• Document processing
• System design

Duration: 4-6 months

Learn GenAI development through upGrad’s Master of Science course in Machine Learning & AI.

8. Cybersecurity Threat Detection System Using Machine Learning

Problem Statement: Hackers are developing new and creative ways to execute cyberattacks, posing a significant threat to companies. Malware and phishing software are difficult to identify, and their attacks may cause serious financial and security problems. Accurate detection will help employees screen out risky websites and emails.

Project Objective: Machine learning can help identify malware and phishing attacks. This project aims to create a system that uses AI to detect unusual network activity. The system will help security teams respond to threats faster.

To develop the system, you will use machine learning algorithms to detect threats and provide real-time alerts. For this, use a cybersecurity dataset to compile and process the data. Develop the algorithm model and train it using Decision Trees, Random Forests, Support Vector Machines (SVM), and Neural Networks. Create a web interface where users can upload text, check for detection, and generate a report.

Skills Acquired:

• Network security
• Machine learning
• Threat detection
• Log analysis
• Security Protocols
• Real-time monitoring

Duration: 6-7 months

Web Development Projects

Web development remains one of the most in-demand skills — and a great way to show off both your creativity and coding chops. From responsive portals to AI-backed eCommerce platforms, these computer science project ideas let you build real, usable applications that solve everyday problems. If you enjoy blending functionality with aesthetics, these are the perfect picks for your final year.

Below is a list of top final year projects for CSE in Web Development:

9. Library Management System with QR Code Integration

Problem Statement: Traditional library systems are slow as librarians work with pen and paper to maintain records. The process becomes longer with students wasting time standing in queues. Manual bookkeeping for borrowing, extensions, and returns may also result in errors

Project Overview: The objective is to develop a Quick Response (QR) code management system. Students can scan QR codes with their phones to check out books, view due dates, and pay fines. Librarians can track books easily and send automatic reminders. This project will help digitize the library system, making it secure and error-free.

You can approach this project by designing a database that includes details of books, members, and transactions. Develop a backend and front end with a user interface featuring portals for admins and users. Implement QR code functionality to generate book codes and decode them to fetch relevant data from the database.

Skills Acquired:

• Full-stack web development
• Database design
• QR code implementation
• Payment processing
• System architecture design
• User authentication systems

Duration: 5-6 months

10.  Health Administration Platform with Appointment Scheduling

Problem Statement: Hospitals often struggle with appointment management, leading to long wait times and frustrated patients. They need a centralized scheduling platform to manage patients effectively for smooth healthcare delivery.

Project Overview: The project aims to create a platform for patients and doctors to access and deliver healthcare. Patients can book appointments online, doctors can manage their schedules, and administrators can track hospital resources. From registration to medical history storage, this platform will serve as a one-stop solution for hospital management.

Start by developing the backend and front end of a website or app. The ReactJS Tutorial can help you learn it from scratch. Use a web server to display website content and process HTTP requests and responses. Take our MongoDB tutorial to learn how to use this document-oriented database to store patient records, changes, and deletions. Develop an algorithm that facilitates appointment scheduling and ensures the UI is user-friendly.

Skills Acquired:

• Full-stack development
• Scheduling algorithms
• UI/UX design
• System Integration
• Healthcare workflows

Duration: 5-6  months

11. Real-Time Weather Forecasting Web App

Problem Statement: Current weather apps often fail to provide accurate local forecasts. Users need weather updates tailored to their exact locations.

Project Overview: This project aims to develop a web app that provides precise weather forecasts for any location. Users will receive real-time updates and alerts for changing weather conditions. The application will include features such as temperature, humidity, AQI, and forecasts and will be mobile-friendly.

Approach this project by studying existing weather forecasting apps and identifying their shortcomings. Research available weather APIs, such as OpenWeatherMap, WeatherAPI, and WeatherStack. For the back end, create a simple server and use a .env file to store the API key. For the front end, implement JavaScript to handle API requests. Deploy the weather app on a hosting platform for accessibility.

Skills Acquired

• API integration
• Full-stack development
• Real-time data handling
• Weather analytics
• Map integration
• UX design

Duration: 6 months

12. Online Auction System for Collectibles

Problem Statement: There is a huge market for buying and selling rare items through auctions. However, finding genuine buyers and sellers online can be challenging. A secure online auction system is needed to ensure safe transactions and protect against scams.

Project Objective: This project aims to create a platform for secure buying and selling of collectibles through auctions. Key features will include real-time bidding, authentication checks, and secure payments. Users can list items, place bids, and review auction history.
Start by understanding how auctions work, including bidding increments, time limits, and reserve prices. Then, develop a backend by setting up a database, defining models for users and collectibles, and creating routes for authentication and auctions. Finally, build a front end with registration and login forms and a dashboard for items.

Skills Acquired:

• Full-stack development
• Real-time systems
• Payment processing
• Security implementation
• Database design
• User authentication

Duration: 6 months

Check out upGrad’s free course certification in JavaScript Basics from Scratch to ace your CSE project!

13.  eCommerce Website with AI-Driven Product Recommendations

Problem Statement: With millions of products on eCommerce websites, users often struggle to find what they need. Personalized shopping options that cater to user preferences can make the shopping experience more efficient.

Project Overview: This project aims to create an e-commerce site that uses AI to learn customer preferences and recommend products based on their shopping behavior. This system will optimize the shopping process by providing personalized suggestions.

Start by building a Python library and designing a database with defined schemas for user credentials. Then, develop the backend by setting up the server and API endpoints. Next, create the front end with user-friendly pages and API integrations. Finally, gather data on past shopping behaviors to train your AI model and integrate it with the system.

Skills Acquired:

• AI algorithms
• eCommerce development
• User behavior analysis
• Performance optimization
• Database management
• Web analytics

Duration: 6-7 months

14.   Task Management System with Calendar Integration

Problem Statement: The gig economy is growing fast. With the increasing number of remote workers, it is a challenge for employers to track their progress. There is a need for a task management system to help manage employees across different time zones.

Project Overview: This project aims to build a system that combines task management with calendar features. It will help teams track projects, deadlines, and meetings in one place. Users can personalize their task lists and receive notifications for due projects. Such a system will increase an organization’s productivity by making progress tracking easier.

Approach this topic by understanding the problems companies face in managing remote workers. Start by developing a backend with user authentication, task models, and a database. Build a front end with user registration, login functionality, a task organizer, and task progress tracking.

Skills Acquired:

• API integration
• Calendar systems
• Real-time collaboration
• Database design
• Time management
• User interface design

Duration: 4-6 months

Internet of Things (IoT) Projects

IoT is where software meets the physical world. These project ideas are ideal if you love tinkering with hardware, sensors, and systems that automate real-life actions — like tracking attendance or optimizing energy use. It’s hands-on, it's futuristic, and it shows employers you’re ready for smart tech integration.

Below is a list of top final year projects for CSE in the Internet of Things (IoT):

15. Biometric Attendance System with RFID Integration

Problem Statement: Keeping a manual record of attendance is time-consuming. Organizations need a reliable system to record attendance while preventing proxy entries. An RFID-integrated attendance system ensures safety and accuracy in recording attendance.

Project Overview: This project will develop a system that combines fingerprint scanning and RFID cards for double verification. It will include features like late arrival notifications and monthly attendance reports. The RFID system will generate attendance reports and provide a web interface for administrators and students.

Study the working principles of RFID technology and biometric systems to approach this topic. Then, design the system by outlining the interactions between the RFID reader, biometric scanner, microcontroller, and database. Finally, develop a user interface for administrators to track reports and attendees to monitor their attendance.

Skills Acquired:

• Biometric system integration
• RFID programming
• Hardware-software interface
• Security implementation
• Report generation

Duration: 6-7 months

16. Smart Waste Management System Using IoT Sensors

Problem Statement: Waste collection is time-consuming. Workers have to check each bin to ensure it is empty. An Internet of Things (IoT) sensor can help them determine the fill level and map areas that need better waste management. The load sensor and the infrared (IR) sensor can communicate with devices to give workers automated alerts. 

Project Objective: This project aims to create a system using sensors to monitor garbage levels in bins. It will help cities plan better collection routes and save time and fuel. IoT sensors and devices can send notifications to waste collectors when bins need to be emptied. This system can optimize the waste management process with the help of data analytics.

Collaborate with local authorities or waste management companies to understand practical requirements. Assemble the hardware components, such as microcontrollers, sensors, and Wi-Fi modules. Create code to read sensor data and connect to Wi-Fi. Develop the backend, API, and front end to provide data visualization for bin status.

Skills Acquired:

• IoT development
• Sensor integration
• Route optimization
• Mobile development
• Real-time monitoring
• GPS tracking

Duration: 5-6 months

17. Internet of Things-based Smart Home Automation System

Problem Statement: Home automation systems help users control their home appliances remotely, ensuring comfort and security. An IoT-based automation system lets users manage lights, fans, AC, and security cameras from their phones. This system reduces electricity costs and saves energy. It also increases accessibility for elderly and specially abled residents.

Project Overview: This project aims to build a system where users can control home devices through a mobile app. The app or web interface will display real-time device statuses and allow users to set automatic schedules. For example, turn on the AC 15 minutes before you reach home or switch off all lights at bedtime.

Start by setting up the microcontrollers and the Wi-Fi module. Then, use Python to create code for the microcontrollers to perform home automation functions. Finally, use a wireless communication protocol, like Wi-Fi or Bluetooth, to integrate devices seamlessly. You can develop a mobile application to help users control the hardware devices.

Skills Acquired:

• IoT device programming
• Mobile app development
• Real-time data handling and data engineering
• Network security
• Circuit design basics

Duration: 6-7 months

Digital Image Processing / Computer Vision Projects

Want to explore how computers see the world? These computer vision and image processing projects are perfect for diving into facial recognition, object detection, and other visually intelligent applications. They combine data science with pixel-level precision — great for those aiming to break into AI or visual tech careers.

Below is a list of top final year projects for CSE in Digital Image Processing / Computer Vision:

18. Face Detection and Recognition System

Problem Statement: Data leakage and breaches have become significant threats to system security. A face detection and recognition system simplifies the authentication process. It can be used to record attendance, sort photos in a gallery, or unlock devices.

Project overview: This project aims to build an automated system to detect faces in real-time video, match them against a database, and log entries and exits. The system will include features such as mask detection and emotion recognition. To achieve this, you will implement an algorithm that analyzes and compares the patterns and contours of a person’s face.

You can embed the face dataset using OpenCV (Open Source Computer Vision Library) with Python. Other Python libraries, like NumPy and the Python Imaging Library (Pillow), will assist with computing and image processing. You can also use publicly available facial recognition datasets from Kaggle and match them with the existing database.

Skills Acquired:

• Computer vision
• Deep Neural Networks
• Image Processing
• Embedded Systems Programming
• Deep learning
• Real-time video processing
• Model training and optimization
• Hardware integration

Duration: 6 months

19. Digital Image Processing for Object Detection in Traffic Surveillance

Problem Statement: Due to the growing number of road accidents, traffic needs to be managed in real time. Manual traffic monitoring is inefficient and often misses many violations. Cities and traffic authorities can use automated systems to improve road safety.

Project Objective: Digitizing traffic surveillance and management is an exciting major project for CSE final year students. This project aims to develop a system that processes traffic camera feeds to detect violations, count vehicles, and identify license plates. It will also help generate automated reports for traffic authorities.

In this project, you will use detection algorithms and methods to recognize vehicle information, pedestrian density, and faces. Use a publicly available highway video traffic dataset from Kaggle and preprocess it to train an object detection algorithm (You Only Look Once-YOLO). Use the trained model to detect objects in video frames. Add object tracking and traffic violation detection features.

Skills Acquired:

• Traffic Management Technologies
• Real-time Image Processing
• Object detection
• Video analysis
• OCR implementation
• Real-time systems

Duration: 6-7 months

Explore upGrad’s Professional Certificate Program in Cloud Computing and DevOps to become job-ready. 

20. Eye-Tracking-Based Cursor Movement Using Optical Sensors

Problem Statement: Differently-abled individuals with mobility challenges face difficulties using standard mice and keyboards. Imagine a system where users can move the cursor without lifting a finger. This innovation will help them access computers, making technology more inclusive

Project Overview: This project aims to build a system that allows users to move their computer cursor by tracking their eye movements. The system will use a camera to monitor eye movements and translate them into smooth cursor motions. You will use optical sensors (webcams or infrared cameras) to track eye positions and movements.

Research eye-tracking technologies, including pupil detection and gaze estimation, and learn how various algorithms track eye movements. Install computer vision libraries like OpenCV. Use OpenCV to access the webcam and capture video input. Implement Haar Cascades or DNN-based methods in OpenCV for real-time face and eye detection. Align coordinates to map eye movements to cursor movements. Add additional features like looking down to select items and blinking to double-click.

Skills Acquired

• Computer vision
• Hardware integration
• Accessibility design
• Real-time processing
• User interface design
• Signal processing

Duration: 4-6 months

21. Image Super-Resolution Using Deep Learning (Digital Image Enhancement)

Problem Statement: Images are used to identify important details in domains such as astronomy, security, satellite services, and navigation. However, these fields often receive low-resolution images, which eventually become useless. 

Project Overview: What if you could solve this problem by converting low-resolution images into higher resolutions? This project aims to achieve image super-resolution through deep learning. The objective is to create an automated system that makes blurry photos clearer and more detailed.

Approach this topic by creating and downloading an existing dataset of low- and high-resolution pictures. Build a deep learning model and train it by inputting low-resolution images, with high-resolution images as the target output. Develop a user-friendly web interface where users can upload their blurry images to convert them into detailed ones.

Skills Acquired

• Deep learning
• Image processing
• Model Optimization
• GPU programming
• Web development
• Cloud computing

Duration: 6-7 months

Blockchain & Cybersecurity Projects

As security and transparency become non-negotiable, blockchain and cybersecurity are booming fields. These final year projects let you design secure systems — whether it's a tamper-proof voting platform or intelligent threat detection using machine learning. Great for students passionate about data privacy and digital trust.

Below is a list of top final year projects for CSE in Blockchain & Cybersecurity:

22.  Blockchain-based Voting System

Problem Statement: Voting upholds the spirit of democracy in India, and a fair voting system is a top priority. However, traditional paper ballots and Electronic Voting Machines (EVMs) can be rigged, leading to inaccurate election results. A blockchain-based voting system can ensure fair elections and enable migrant workers to participate in voting.

Project overview: This project aims to develop a secure voting system using blockchain where each vote is recorded as a transaction. The objective is to include features like voter verification and real-time result tracking. Voters can remain anonymous while casting their votes, ensuring transparency.

Approach this topic by studying how blockchain works through a blockchain tutorial. Include essential concepts like blocks, hashes, and consensus mechanisms. Build a front end with a user interface for casting votes. Write smart contracts to handle voter registration, vote casting, and vote counting. Use Web3.js to connect your front end to the Ethereum network and interact with your smart contracts. Trigger the vote function in your smart contract from the UI to allow voters to cast their votes.

Skills Acquired:

• Blockchain development
• Smart contract programming
• Cryptography basics
• Distributed systems
• Security Protocols

Duration: 7-8 months

23. Cybersecurity Threat Detection System Using Machine Learning

Problem Statement: Hackers are developing new and creative ways to execute cyberattacks, posing a significant threat to companies. Malware and phishing software are difficult to identify, and their attacks may cause serious financial and security problems. Accurate detection will help employees screen out risky websites and emails.

Project Objective: Machine learning can help identify malware and phishing attacks. This project aims to create a system that uses AI to detect unusual network activity. The system will help security teams respond to threats faster.

To develop the system, you will use machine learning algorithms to detect threats and provide real-time alerts. For this, use a cybersecurity dataset to compile and process the data. Develop the algorithm model and train it using Decision Trees, Random Forests, Support Vector Machines (SVM), and Neural Networks. Create a web interface where users can upload text, check for detection, and generate a report.

Skills Acquired:

• Network security
• Machine learning
• Threat detection
• Log analysis
• Security Protocols
• Real-time monitoring

Duration: 6-7 months

Cloud & Data Projects

With the explosion of big data and remote systems, cloud computing is now a must-know skill. These project ideas combine cloud storage, optimization, and data handling — ideal for anyone eyeing a role in data engineering, cloud architecture, or scalable backend solutions.

Below is a list of top final year projects for CSE in Cloud and Data:

24. Cloud Storage Optimization with Deduplication

Problem Statement: Organizations waste valuable storage space and money by keeping multiple copies of the same files. Each duplicate file consumes extra space and complicates data management.

Project Overview: This project aims to build a smart storage system that automatically detects and removes duplicate files while keeping the data accessible to all users who need it. The system will track the amount of space saved and display these savings on a dashboard.

Approach the topic by researching data deduplication principles, including methods like file-level and block-level deduplication. Learn about cloud storage architecture and key providers such as AWS and Google Cloud. Develop a back end with logic for file deduplication, storage management, and retrieval. Create a front end with a user interface for file uploads and management. Use cloud storage to store files and a database to manage file metadata.

Skills Acquired:

• Cloud computing expertise
• Storage optimization techniques
• Database management
• API development
• Hashing algorithms
• System architecture design

Duration: 6-7 months

25.  OCR-Based Document Digitization System

Problem Statement: Many organizations are transitioning online, requiring the digitization of their documents and records. Manually entering data is tedious and prone to errors. An OCR-based digitization system can save time and reduce mistakes.

Project Objective: Optical Character Recognition (OCR) technology identifies written characters in a document. This project aims to develop a system that converts paper documents into searchable digital files. Users can scan documents, and the system will automatically extract and organize the text.

Begin by familiarizing yourself with OCR technology and tools like Tesseract and the Google Vision API. Then, install an OCR tool of your choice on your system. For the backend, create a Flask API with routes to upload and extract text. Finally, design a front end with an HTML form for uploading images.

Skills Acquired:

• OCR technology
• Image processing
• Text analysis
• Document management
• Search algorithms
• Cloud storage

Duration: 5-6 months

Immersive Tech & EdTech Projects

EdTech and immersive learning are revolutionizing how we engage with information. These projects offer creative ways to blend education with tech — using virtual reality, AI, and interactive platforms to boost learning. If you're passionate about making education smarter, this domain is worth diving into.

Below is a list of top final year projects for CSE in Immersive Tech and EdTech:

26. Virtual Reality-Based Interactive Learning Platform

Problem Statement: The traditional education system is limited to textbooks and theoretical knowledge, which fails to engage students. With the digitization of learning methods and online education, we need interactive platforms that make learning easy and effective.

Project Overview: Interactive learning methods help students develop overall. This project aims to implement Virtual Reality technology in online learning platforms to make education more fun. It will create an immersive VR environment with 3D models and simulations to provide practical knowledge to learners.

Start by selecting the educational content of a specific subject, such as biology or geography. Use Node.js and npm for backend development. Set up Unity 3D for VR development and download free models from sources like Sketchfab or TurboSquid. Develop a basic front end and back end, and include the VR framework.

Skills Acquired

• VR development
• 3D modeling
• Game design
• Educational design
• User experience
• Content management

Duration: 6-8 months

Why Major Projects are Essential for CSE Final Year Students?

Universities and colleges include major projects for the CSE final year students to help them develop problem-solving and research skills. It gives them their first real-world experience before they step out as CSE graduates and professionals. As a student, consider the final-year project as your mini job, which will help you apply your coding skills to build something substantial. 

Your final year project will help you crack Technical Interview Questions and increase your chances of getting hired. Most CSE projects push you to develop a back end, and front end, integrate database APIs, and a user interface. This helps you attain technical skills while solving real-world issues. By the time you graduate, you will have more than a framed degree- a strong portfolio to show your applied knowledge. 

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⚡ Quick Tip

Don’t wait till the last semester! Start brainstorming and shortlisting your CSE project ideas by mid-6th semester to give yourself enough time for experimentation, iteration, and polish.

How Can upGrad Help You Ace Your Major CSE Project?

upGrad is a one-stop platform for CSE students to learn and build essential skills to develop their final-year CSE project. It gives you a platform to connect with mentors and past students for industry and project insights. You can visit nearby offline centres of upGrad for expert guidance on career counseling.

upGrad provides beginner-friendly computer science courses and advanced technical programs, where you can upskill to develop your final-year project. You also get access to practical workshops and boot camps, where you can learn industry-relevant tools and skills. This will help you ace your major CSE project for your final year by providing the best assistance and technical tutorials. 

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The Bottom Line

Your CSE final-year project helps you apply your coding skills to develop systems and solutions in fields like HR management, healthcare, and waste management. Computer science project topics like facial recognition, IoT sensors, and automation systems allow you to grasp and implement theoretical knowledge to better understand the concepts.

With several career options available after you graduate from CSE, your final-year project helps you stand out and allows you to explore your interests. You can take the help of upGrad’s free CSE courses and Deep Learning Tutorial to enhance your final-year project. With the help of our list of the top 25 CSE projects list for 2025, you have plenty of options to choose from.

Learn more about upGrad’s Online Software Development Courses to perfect your final year CSE project!

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