Top Major Projects For Computer Science [CSE] Students in 2025
Updated on Feb 07, 2025 | 30 min read | 84.2k views
Share:
For working professionals
For fresh graduates
More
Updated on Feb 07, 2025 | 30 min read | 84.2k views
Share:
Table of Contents
Computer science engineering is the most popular branch of engineering in India chosen by millions of students. While everyone learns the same fundamentals, what makes some students stand out? It comes down to their technical skills and practical application of computer science knowledge. This is where final-year CSE projects come in.
A major project for the final year of CSE helps students identify problems around them and bring solutions by applying their textbook education. Whether developing a chatbot for an e-commerce app or tackling cybersecurity challenges, such innovative CSE projects add excitement to the learning journey. Working on these projects teaches valuable skills beyond just coding. You will learn how to manage time, work in teams, and handle challenges as they come up. The right CSE project will help you impress an employer with the depth of your practical skills.
You can pick any problem or cause you are passionate about to develop IT solutions for your project. To help you choose further, here are the 25 best CSE projects in 2025.
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:
With trending technologies like IoT, Deep Learning, AI/ML, and blockchain, there are a plethora of options for final-year computer science projects. Below are the top 25 project topics with their problem statements, project overviews, and the tools required for you to explore:
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.
Tools/Resources |
|
Programming Language |
Python with scikit-learn or TensorFlow (for machine learning) |
Data Visualization |
Matplotlib, Seaborn (for data analysis and visual representation) |
Web Interface |
Frameworks like Flask or Django (to build a web application for doctors) |
Datasets |
Medical datasets from the UCI Machine Learning Repository |
Cloud Services |
AWS, Azure (for deploying the model and storing data securely) |
Skills Acquired:
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.
Tools/Resources |
|
Programming Language |
Python |
Data Manipulation |
pandas |
Natural Language Processing |
Python libraries for NLP: Natural Language Toolkit-nltk or spaCy |
Machine Learning |
scikit-learn |
Deep Learning |
TensorFlow or PyTorch |
Skills Acquired:
Duration: 6-7 months
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.
Tools/Resources |
|
Libraries |
Natural Language Toolkit (NLTK) |
Programming Languages |
Python (for backend logic) and JavaScript (for chatbot UI) |
Chatbot Framework |
Microsoft Bot Framework |
Database |
MySQL database |
APIs |
OpenAI API |
Web Framework |
Flask or Django (for building the web application) |
Skills Acquired
Duration: 6 months
To strengthen your basics on Natural Language Processing, Check out upGrad’s NLP Courses.
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.
Tools/Resources |
|
Database |
Firebase or MySQL |
Programming Languages |
Java or Python (for backend development) |
QR Code Libraries |
zbar (Python), ZXing (Java) |
Application Framework |
Android Studio (for mobile apps) or a Web Application Framework (e.g., Flask/Django) |
Payment Integration |
Payment Gateway (e.g., Razorpay, PayPal, or Stripe) |
Skills Acquired:
Duration: 5-6 months
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.
Tools |
|
Computer Vision Libraries |
OpenCV (Open Source Computer Vision Library) |
Python Libraries |
Numpy Array in Python, Python Imaging Library (PILLOW) |
Deep Learning Frameworks |
Python with deep learning frameworks (e.g., TensorFlow, PyTorch) |
Face Recognition Libraries |
dlib, face_recognition |
IDE/Development Tools |
Android Studio, Eclipse IDE, Visual Studio |
Hardware |
Camera hardware (e.g., webcam, specialized camera) |
Software for Data Processing |
LABVIEW, IMAQ library |
Skills Acquired:
Duration: 6 months
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.
Tools |
|
Web Front End |
React.js, Material UI, Redux |
Web Back End |
Node.js, Firebase, Socket.io, Cloudinary |
Calendar API |
Calendar API (e.g., Google Calendar API) |
Notification System |
SMS/Email notification system (Twilio for SMS, SendGrid for email) |
Database Management |
Database management system (MongoDB, Firebase, PostgreSQL) |
Authentication Middleware |
Authentication middleware ( Passport.js, JWT) |
Payment Gateway |
Payment gateway (Stripe, PayPal) |
Skills Acquired:
Duration: 5-6 months
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.
Tools |
|
Programming Language |
Python |
Computer Vision Library |
OpenCV (Python Library) |
Object Detection Algorithm |
TensorFlow or You Only Look Once (YOLO) |
Video Processing |
Video processing libraries (e.g., OpenCV, moviepy) |
Pre-trained Models |
MobileNet, SSD, Faster R-CNN |
OCR |
Optical Character Recognition (OCR) for license plate reading (e.g., Tesseract) |
Cloud Storage |
Cloud storage for video data (e.g., AWS S3, Google Cloud Storage) |
Skills Acquired:
Duration: 6-7 months
Explore upGrad’s Professional Certificate Program in Cloud Computing and DevOps to become job-ready.
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 Objective: 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.
Tools |
|
Android Development |
Android SDK, Android Studio, Java/Kotlin |
Machine Learning |
TensorFlow Lite |
Battery Management |
Android’s BatteryManager API |
Database |
SQLite database |
Skills Acquired:
Duration: 6 months
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.
Tools |
|
Hardware |
RFID readers, fingerprint scanners, microcontrollers (Raspberry Pi, Arduino) |
Software |
Programming languages (Python, Java), web development frameworks, database management |
Skills Acquired:
Duration: 6-7 months
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.
Tools |
|
Blockchain Platforms |
Ethereum, Hyperledger Fabric, Binance Smart Chain |
Smart Contract Language |
Solidity (for Ethereum smart contracts) |
Programming Languages |
JavaScript (for front-end development) |
Framework |
React, Angular (front-end) Node.js (back-end) |
Database |
NoSQL (MongoDB, CouchDB) |
Skills Acquired:
Duration: 7-8 months
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.
Tools |
|
Programming Language |
Python |
Cloud Platform |
AWS S3, Google Cloud Storage |
Database |
MySQL, SQLite |
Web Framework |
Django, Spring |
API Tools |
REST API tools (e.g., Postman, Swagger) |
Skills Acquired:
Duration: 6-7 months
Check out upGrad’s Cloud Computing and DevOps Program by IIITB to unlock professional opportunities!
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.
Tools |
|
Machine Learning Frameworks |
TensorFlow, PyTorch |
Pre-trained Models |
MobileNetV2, ResNet, VGG16 |
Web Framework |
Flask, Django |
Camera |
High-quality camera |
Dataset |
Currency image dataset |
Computer Vision Library |
OpenCV |
Hardware |
GPU for training |
Programming Language |
Python |
Skills Acquired:
Duration: 6-7 months
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.
Tools |
|
Publicly Available Datasets |
Kaggle Credit Card Fraud Detection Dataset |
Programming Language |
|
Database |
SQL database |
Development Environment |
Jupyter Notebooks |
Visualization Tools |
Matplotlib, Seaborn, Plotly |
Alert System Framework |
Email notifications, SMS |
Skills Acquired:
Duration: 6 months
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.
Tools |
|
Computer Vision Libraries |
OpenCV |
Eye Tracking Sensor |
Eye tracking sensor (e.g., Tobi Eye Tracker for higher precision) |
Programming Language |
Python, C++ |
Camera |
Standard webcam or infrared sensors (e.g., Tobi Eye Tracker for precision) |
Computer |
A computer capable of running the software |
Lighting |
Adequate lighting conditions for accurate tracking |
Skills Acquired
Duration: 4-6 months
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.
Tools |
|
Frontend |
HTML, CSS, JavaScript (React, Vue.js - optional) |
Backend |
Node.js with Express, Flask (Python), or any backend framework you're comfortable with |
Skills Acquired
Duration: 6 months
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.
Tools |
|
Programming Language |
Python |
Frontend |
HTML, CSS, JavaScript (for web applications), Flask, Django (optional) |
Backend |
Python (Flask/Django), Node.js (optional) |
Skills Acquired:
Duration: 5-6 months
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.
Tools |
|
Frontend |
HTML, CSS, JavaScript, React, Angular, Vue.js (optional) |
Backend |
Node.js with Express, Python with Flask/Django, PHP with Laravel |
Database |
MySQL, PostgreSQL, MongoDB |
Authentication |
Passport (for Node.js), Django’s built-in user model |
Skills Acquired:
Duration: 6 months
Check out upGrad’s free course certification in JavaScript Basics from Scratch to ace your CSE project!
upGrad’s Exclusive Software and Tech Webinar for you –
SAAS Business – What is So Different?
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.
Tools |
|
Frontend |
HTML, CSS, JavaScript |
Backend |
Python with Flask, Python with Django |
Database |
MongoDB, MySQL |
Machine Learning |
Python with scikit-learn, TensorFlow, Keras |
IDE |
Visual Studio Code, PyCharm |
Skills Acquired:
Duration: 6-7 months
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.
Tools/Resources |
|
Microcontroller |
Raspberry Pi or Arduino |
Sensors |
Infrared (IR) sensors (distance and fill level), temperature sensors, humidity sensors, Load Sensors |
Communication |
Wi-Fi module |
Power Supply |
Battery or power adapter |
Programming Language |
Python (for Raspberry Pi) or C/C++ (for Arduino) |
Cloud Services |
AWS, Google Cloud, or Firebase (for storing and analyzing data) |
Skills Acquired:
Duration: 5-6 months
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.
Tools/Resources |
|
Frontend |
HTML, CSS, JavaScript, React, or Angular (optional for dynamic and interactive interfaces). |
Backend |
Node.js with Express, or Python with Flask/Django (for server-side functionality). |
Database |
MongoDB or MySQL (for storing tasks and related data). |
Calendar Integration |
APIs like Google Calendar API (for calendar functionality and scheduling). |
Skills Acquired:
Duration: 4-6 months
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.
Tools/Resources |
|
Programming Languages |
Python |
Libraries |
Scikit-learn, Pandas, NumPy, Matplotlib, TensorFlow/Keras (for deep learning) |
Frameworks |
Flask, Django (for web application development) |
Database |
SQLite, MongoDB, PostgreSQL (for storing logs and data) |
Machine Learning Tools |
Jupyter Notebook (for initial experiments and prototyping) |
Datasets |
KDD Cup 1999, UNSW-NB15, or other publicly available cybersecurity datasets for training the model. |
Skills Acquired:
Duration: 6-7 months
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.
Tools/Resources |
|
Programming Language |
Python |
Deep Learning Libraries |
TensorFlow, Keras, PyTorch |
Image Processing Libraries |
OpenCV, Pillow |
Web Framework |
Flask, Streamlit (for building a web-based application) |
Development Tools |
Jupyter Notebook (for experimentation and prototyping) |
Datasets |
DIV2K (high-scale image datasets for super-resolution) |
Skills Acquired
Duration: 6-7 months
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.
Tools |
|
Programming Languages |
JavaScript, HTML, CSS (for web development) |
VR Frameworks |
A-Frame, Three.js, Unity with C# |
Web Development |
Node.js, Express (for the backend) |
Database |
MongoDB, Firebase (for storing user data and resources) |
Headsets |
Oculus Quest, HTC Vive, or any device compatible with your chosen framework |
IDEs |
Visual Studio Code, Unity3D (if using Unity) |
Skills Acquired
Duration: 6-8 months
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.
Tools |
|
Programming Language |
Python |
Machine Learning Libraries |
scikit-learn, TensorFlow, PyTorch |
Natural Language Processing Libraries |
NLTK, spaCy, Hugging Face Transformers |
Web Framework |
Flask, Django |
Database |
SQLite, PostgreSQL (for storing resumes and results) |
Skills Acquired:
Duration: 4-6 months
Learn GenAI development through upGrad’s Master of Science course in Machine Learning & AI.
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.
Tools/Resources |
|
Microcontrollers |
Arduino, Raspberry Pi |
App Development |
Android Studio |
Cloud Services |
AWS, Azure |
IoT Sensors |
P.I.R. sensor (temperature), LDR (light), DHT22 (motion) |
Communication Protocol |
MQTT protocol |
IoT Platforms |
Blynk, Firebase, or MQTT (for device communication) |
Database |
Firebase (for real-time data storage and retrieval) |
Skills Acquired:
Duration: 6-7 months
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.
Learn in-demand software development skills with upGrad’s courses in Big Data and SQL.
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.
Explore our Popular CSE Courses and boot camps:
Learn more about Data Structures and Algorithms with upGrad’s free certificate courses!
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!
Boost your career with our popular Software Engineering courses, offering hands-on training and expert guidance to turn you into a skilled software developer.
Master in-demand Software Development skills like coding, system design, DevOps, and agile methodologies to excel in today’s competitive tech industry.
Stay informed with our widely-read Software Development articles, covering everything from coding techniques to the latest advancements in software engineering.
Reference Links:
https://www.researchgate.net/publication/342863089_Internet_of_Things_based_Integrated_Smart_Home_Automation_System
https://www.researchgate.net/publication/371607691_SMART_HOME_AUTOMATION_SYSTEM_BASED_ON_IoT
https://CSE.final-year-projects.in/a/3485-design-and-implementation-of-an-iot-access-point-for-smart-home.html
https://www.researchgate.net/publication/378902826_AI-DRIVEN_STUDENT_ASSISTANCE_CHATBOTS_REDEFINING_UNIVERSITY_SUPPORT
https://www.researchgate.net/publication/346455819_Singibot_-_A_Student_Services_Chatbot
https://www.slideshare.net/slideshow/library-management-system-lms-year-project-with-code/271779150
https://www.ijisrt.com/assets/upload/files/IJISRT24OCT212.pdf
https://www.researchgate.net/publication/303480761_Predictive_Analytics_in_Healthcare_System_Using_Data_Mining_Techniques
https://www.researchgate.net/publication/379478196_Predictive_Analytics_in_Healthcare
https://takeoffprojects.com/project-details/health_care_analysis_using_machine_learning--14133
https://www.quora.com/I-need-to-implement-Sentiment-Analysis-for-my-Final-year-project-How-should-I-proceed
https://www.researchgate.net/publication/317058859_Study_of_Twitter_Sentiment_Analysis_using_Machine_Learning_Algorithms_on_Python
https://www.analyticsvidhya.com/blog/2021/06/twitter-sentiment-analysis-a-nlp-use-case-for-beginners/
http://ir.juit.ac.in:8080/jspui/bitstream/123456789/6301/1/Face%20Detection%20and%20Recognition%20System%20by%20Shivam%20Bhargava.pdf
https://www.pmu.edu.sa/attachments/academics/pdf/udp/coe/dept/ee/face_detection_system_report.pdf
http://www.ir.juit.ac.in:8080/jspui/bitstream/123456789/3663/1/Healthcare%20Platform%20for%20Online%20Consultation.pdf
https://mscw.ac.in/NAAC/Criteria1/Samples-of-ProjectWork_Fieldwork/Computer_Science/software_Engineering/Software%20Engineering/Hospital%20Managment%20Project%20SE-converted.pdf
https://www.researchgate.net/publication/337464355_OBJECT_DETECTION_AND_IDENTIFICATION_A_Project_Report
https://www.quora.com/How-do-I-choose-the-right-programming-language-for-my-project?no_redirect=1
https://www.quora.com/How-are-final-year-projects-carried-out-in-India
https://www.quora.com/What-are-some-of-the-best-unique-not-implemented-ideas-for-a-CSE-final-year-project
https://www.quora.com/search?q=CSE%20final%20year%20project
https://www.quora.com/What-are-some-ideas-for-an-Android-project-for-a-final-year-student
https://www.quora.com/What-are-some-innovative-data-mining-projects-for-B-Tech-CSE-final-year-students
https://www.researchgate.net/publication/363815380_Android_Battery_Optimizer
https://www.logicraysacademy.com/blog/final-year-projects-for-CSE/
https://www.ccbp.in/blog/articles/final-year-projects-for-computer-science-students
https://www.linkedin.com/advice/0/how-do-you-execute-computer-science-research-project
https://www.wscubetech.com/blog/computer-science-CSE-final-year-projects/
Get Free Consultation
By submitting, I accept the T&C and
Privacy Policy
India’s #1 Tech University
Executive PG Certification in AI-Powered Full Stack Development
77%
seats filled
Top Resources