Final Year (Undergraduate) Project Ideas

Below is a curated list of innovative project ideas across various domains, designed to challenge students, foster practical skills, and align with industry demands. These topics are grouped by domain, reflecting recent advancements and real-world applications suitable for undergraduate students in 2025.

1. Artificial Intelligence and Machine Learning (AI/ML)

• AI-Powered Mental Health Chatbot: Develop a chatbot using natural language processing (NLP) and sentiment analysis to provide mental health support, offering resources and coping strategies based on user input. Leverage frameworks like TensorFlow or PyTorch and integrate with platforms like Telegram or WhatsApp.
• Predictive Maintenance for Industrial Equipment: Create an ML model to predict equipment failures using IoT sensor data (e.g., vibration, temperature). Use algorithms like Random Forest or LSTM to analyze time-series data and reduce downtime in industries.
• AI-Based Sign Language Translator: Build a system using computer vision and deep learning (e.g., CNNs with OpenCV) to translate sign language gestures into text or speech in real-time, enhancing accessibility for the hearing-impaired.
• Automated Essay Scoring System: Develop an NLP-based system to evaluate and score student essays using models like BERT, focusing on grammar, coherence, and content relevance, with applications in education technology.
• Emotion Recognition in Video Calls: Implement a real-time emotion detection system using facial recognition and ML models to analyze emotions during virtual meetings, useful for remote collaboration tools.

2. Internet of Things (IoT)

• Smart Agriculture Monitoring Systemvold: Design an IoT-based system to monitor soil moisture, temperature, and humidity using sensors (e.g., ESP32, Arduino). Integrate with a mobile app to provide farmers with real-time data and irrigation recommendations.
• IoT-Based Smart Waste Management: Create a system with ultrasonic sensors to monitor waste levels in bins, using LoRa or MQTT for communication, and optimize collection routes with a web dashboard for municipal authorities.
• Home Energy Optimization System: Develop an IoT solution to monitor and control household appliances’ energy consumption, using ML to suggest energy-saving patterns, integrated with platforms like Google Home or Alexa.
• IoT-Enabled Healthcare Wearable: Build a wearable device to track vital signs (e.g., heart rate, SpO2) and send alerts to healthcare providers in case of anomalies, using Raspberry Pi and cloud storage for data analysis.
• Smart Parking System: Implement an IoT system with sensors and cameras to detect available parking spaces, integrated with a mobile app for real-time navigation and booking in urban areas.

3. Blockchain Technology

• Decentralized Voting System: Develop a blockchain-based platform for secure, transparent voting using Ethereum smart contracts, ensuring tamper-proof records and voter anonymity.
• Supply Chain Traceability System: Create a blockchain application to track product journeys (e.g., food or pharmaceuticals) from source to consumer, using Hyperledger or Ethereum to ensure transparency and authenticity.
• Decentralized Academic Credential Verification: Build a blockchain system to issue and verify digital certificates for students, reducing fraud and enabling secure sharing with employers.
• Blockchain-Based Crowdfunding Platform: Design a decentralized platform for crowdfunding projects, using smart contracts to automate fund release based on milestones, ensuring trust and accountability.
• Secure Medical Record Sharing: Implement a blockchain solution to store and share patient medical records securely, allowing authorized access with patient consent using private keys.

4. Cybersecurity

• Intrusion Detection System Using ML: Develop a system to detect network intrusions by analyzing traffic patterns with ML algorithms like SVM or neural networks, integrated with tools like Snort or Wireshark.
• Phishing Detection Browser Extension: Create a browser extension that uses NLP and ML to identify phishing websites in real-time, trained on datasets of malicious URLs, with a user-friendly interface.
• Secure File Sharing with Encryption: Build a web application for secure file sharing using end-to-end encryption (e.g., AES-256) and multi-factor authentication, with a focus on user privacy.
• Password Strength Analyzer with AI: Develop an AI-based tool to evaluate password strength and suggest improvements, using ML to predict vulnerability to common attack methods like brute force.
• IoT Device Security Framework: Create a framework to secure IoT devices against DDoS attacks, implementing lightweight encryption and anomaly detection for resource-constrained devices.

5. Augmented Reality (AR) and Virtual Reality (VR)

• AR-Based Virtual Lab for IT Students: Develop an AR application using Unity and ARCore to simulate networking or programming labs, allowing students to interact with virtual routers, switches, or code environments.
• VR Training Simulator for Cybersecurity: Create a VR environment to train students in identifying and mitigating cyber threats, such as phishing or malware attacks, using Oculus or similar platforms.
• AR Navigation for Campus: Build an AR-based mobile app for campus navigation, overlaying directions, event schedules, and information about facilities using ARKit or Vuforia.
• VR Museum Experience: Design a VR application to provide immersive tours of historical or cultural sites, integrating 360-degree visuals and interactive storytelling for educational purposes.
• AR-Assisted Repair Manual: Develop an AR app for technicians to view step-by-step repair instructions overlaid on physical equipment, using HoloLens or mobile AR frameworks.

6. Web and Mobile Application Development

• Personalized E-Learning Platform: Create a web and mobile app that uses AI to recommend personalized learning paths for students based on their performance and interests, integrating with APIs like Google Classroom.
• Real-Time Public Transport Tracker: Build a mobile app to track buses or trains in real-time using GPS and APIs like Google Maps, with features for route planning and fare calculation.
• Mental Wellness App with Gamification: Develop a mobile app that encourages mental health practices through gamified challenges, integrating mood tracking and community support features.
• Event Management Platform: Create a web application for organizing college events, with features for ticketing, scheduling, and feedback collection, built using React and Node.js.
• Freelancer Marketplace App: Design a mobile app connecting freelancers with clients, with features for project bidding, secure payments, and portfolio showcasing, using Flutter or React Native.

7. Data Science and Analytics

• Social Media Sentiment Analysis Dashboard: Build a dashboard to analyze sentiments on platforms like X or Reddit using NLP tools (e.g., VADER, TextBlob), visualizing trends with libraries like Plotly or D3.js.
• Traffic Accident Prediction System: Develop a model to predict accident-prone areas using historical data and ML algorithms like XGBoost, integrated with a map-based interface for urban planning.
• Student Performance Prediction: Create a data science model to predict student academic performance based on attendance, grades, and engagement, using Python libraries like Pandas and Scikit-learn.
• Retail Sales Forecasting Tool: Build a system to forecast sales for retail businesses using time-series analysis (e.g., ARIMA or Prophet), with a web interface for visualizing predictions.
• Healthcare Data Analytics Platform: Develop a platform to analyze patient data for trends (e.g., disease outbreaks) using big data tools like Apache Spark, with visualizations for hospital administrators.

8. Cloud Computing

• Serverless E-Commerce Platform: Build a serverless web application for small businesses using AWS Lambda or Google Cloud Functions, with features for inventory management and payment integration.
• Cloud-Based Disaster Recovery System: Develop a system to back up and recover critical data for institutions using cloud platforms like Azure or AWS, with automated failover mechanisms.
• Scalable Chat Application: Create a real-time chat application using cloud services like Firebase or AWS Amplify, supporting group chats and media sharing with high scalability.
• Cloud-Based Code Collaboration Tool: Design a platform for collaborative coding with real-time editing, using cloud infrastructure for version control and deployment, inspired by GitHub Codespaces.
• Cost Optimization Dashboard for Cloud Services: Build a tool to monitor and optimize cloud resource usage (e.g., AWS, Azure) for cost efficiency, using APIs to track spending and suggest savings.

9. Natural Language Processing (NLP)

• Multilingual Chatbot for Customer Support: Develop a chatbot that supports multiple Indian languages using NLP models like mBERT, integrated with e-commerce or service platforms for automated support.
• Fake News Detection System: Create a system to classify news articles as real or fake using NLP techniques and datasets from sources like Kaggle, with a web interface for user input.
• Voice-Activated Virtual Assistant: Build a virtual assistant that processes voice commands in regional languages using speech-to-text APIs (e.g., Google Speech API) and responds with relevant actions.
• Text Summarization Tool: Develop an application to summarize long documents or articles using transformer models like T5 or BART, useful for academic or professional settings.
• Chatbot for Academic FAQs: Create a chatbot for your institute to answer common student queries (e.g., syllabus, exams) using a fine-tuned NLP model and a knowledge base.

10. Robotics and Embedded Systems

• Autonomous Delivery Robot: Design a robot using ROS (Robot Operating System) and sensors like LIDAR to deliver items within a campus, with obstacle avoidance and GPS navigation.
• Smart Home Automation Robot: Build a robot to control home appliances (e.g., lights, fans) via voice or app commands, using Raspberry Pi and MQTT for communication.
• Gesture-Controlled Robotic Arm: Develop a robotic arm controlled by hand gestures captured via a camera, using Arduino and computer vision for applications in manufacturing or education.
• Environmental Monitoring Drone: Create a drone with sensors to monitor air quality or temperature, transmitting data to a cloud server for real-time analysis and visualization.
• Line-Following Robot for Warehouse Automation: Build a robot for warehouse navigation using IR sensors and Arduino, optimized for tasks like inventory transport.

Implementation Notes for Students

• Technology Stack: Students could use open-source tools (e.g., Python, TensorFlow, ROS, Node.js) or accessible platforms (e.g., AWS Free Tier, Google Colab) to keep projects cost-effective.
• Interdisciplinary Approach: Projects that combine multiple domains would be promoted (e.g., AI with IoT or Blockchain with Cybersecurity) to enhance complexity and relevance.
• Real-World Impact: Emphasize projects with societal benefits, such as accessibility, healthcare, or sustainability, aligning with initiatives like “Assistive Hand” from your previous student projects.
• Documentation and Presentation: Students should maintain detailed documentation and present their projects in events like “The Innovation Arcade” to develop communication and professional skills.