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Best AI, ML & Web Development Final Year Projects with Source Code
- vatshayantech
- Oct 27
- 4 min read
Best AI, ML & Web Development Final Year Projects
Choosing the right final year project can make all the difference for Computer Science students. It’s not just about completing your degree — it’s your chance to showcase innovation, creativity, and technical mastery. In this post, we’ll explore the Best AI, ML, and Web Development Final Year Projects with Source Code that will help you stand out from the crowd and impress recruiters.
These project ideas are designed to give you hands-on experience with the latest technologies like Artificial Intelligence, Machine Learning, and Full Stack Web Development.
🤖 1. AI-Powered Virtual Assistant
An AI-based virtual assistant is one of the most popular projects for Computer Science students. This assistant can perform tasks like answering questions, managing schedules, or controlling smart devices using Natural Language Processing (NLP).
Features:
Voice recognition and text-based commands
Integration with web APIs (weather, news, reminders)
Custom chatbot module
Tech Stack: Python, TensorFlow, SpeechRecognition, Flask
Why it’s great: It blends AI, ML, and user interaction — perfect for final year demonstration.
🧬 2. Machine Learning-Based Health Prediction System
This project uses machine learning algorithms to predict diseases like diabetes, heart disease, or kidney failure based on patient data. It’s an ideal project for those interested in AI for healthcare.
Features:
Predictive analytics using medical datasets
User-friendly interface for patient input
Accuracy evaluation using ML models
Tech Stack: Python, Scikit-learn, Flask, Pandas
Why it’s great: It showcases how ML and data science can solve real-world problems.
🌐 3. Smart E-Learning Web Application
Create an AI-driven learning platform where students can access video lectures, take quizzes, and ask questions using an integrated chatbot.
Features:
Personalized learning recommendations
Real-time chatbot support
Admin dashboard for content management
Tech Stack: React.js, Node.js, Python (Flask), TensorFlow
Why it’s great: It combines AI, ML, and Web Development into one project, perfect for modern education systems.
💬 4. AI Chatbot for Customer Support
An AI-powered chatbot can help businesses automate customer service, reducing workload while improving response time.
Features:
NLP-based query understanding
Context-aware conversation
Integration with websites and apps
Tech Stack: Python, NLP, Django, Dialogflow
Why it’s great: This project highlights your understanding of AI and automation — both are in high demand in today’s job market.
🔐 5. Credit Card Fraud Detection Using Machine Learning
This project focuses on identifying fraudulent credit card transactions using machine learning models like Logistic Regression or Random Forest.
Features:
Data preprocessing and outlier detection
Real-time fraud detection
Visualization dashboard for analytics
Tech Stack: Python, Scikit-learn, Pandas, Flask
Why it’s great: A high-impact project that demonstrates skills in data analysis and ML model building.
📊 6. Student Performance Analysis Dashboard
A data-driven web dashboard that helps teachers analyze student performance, attendance, and grades using visual charts and predictive analytics.
Features:
Interactive data visualization
Predict academic outcomes
Teacher and admin login panels
Tech Stack: Python, Flask, Power BI / Plotly, MySQL
Why it’s great: Perfect for showcasing data visualization and backend integration skills.
🚀 7. Smart Traffic Management System (AI + IoT)
This project uses Artificial Intelligence and IoT sensors to control traffic signals dynamically based on real-time congestion data.
Features:
Vehicle detection using image processing
AI-based signal timing optimization
Live dashboard for monitoring
Tech Stack: Python, OpenCV, Arduino, TensorFlow
Why it’s great: Combines AI, ML, and IoT, making it a cutting-edge engineering project.
🛍️ 8. E-Commerce Recommendation System
Build a recommendation system that suggests products to users based on their browsing behavior and purchase history — similar to Amazon or Flipkart.
Features:
Collaborative and content-based filtering
Personalized recommendations
Integration with e-commerce website backend
Tech Stack: Python, Flask, Pandas, React.js
Why it’s great: It’s a real-world AI application that demonstrates personalization and user data handling.
🌾 9. Smart Agriculture Monitoring System
This AI and IoT-based system monitors soil moisture, temperature, and humidity to predict crop health and irrigation needs.
Features:
Real-time sensor data collection
ML-based prediction for crop yield
Dashboard for monitoring data
Tech Stack: Arduino, Python, TensorFlow, ThingSpeak
Why it’s great: A socially impactful project combining AI, IoT, and sustainability.
🔎 10. Image Classification Using Deep Learning
A deep learning project that classifies images into categories such as animals, objects, or landmarks. You can train the model using datasets like CIFAR-10 or ImageNet.
Features:
Convolutional Neural Network (CNN) implementation
Image upload and prediction feature
Accuracy comparison between models
Tech Stack: Python, TensorFlow, Keras, OpenCV
Why it’s great: It’s a strong AI/ML portfolio project that demonstrates practical deep learning implementation.
🎯 Conclusion
These AI, ML, and Web Development Final Year Projects with Source Code are perfect for Computer Science students looking to build a strong technical portfolio. Each project focuses on solving real-world problems using advanced technologies, helping you gain both academic and practical experience.
Whether you’re passionate about Artificial Intelligence, Machine Learning, or Full Stack Web Development, these projects provide a solid foundation for your future career in tech.
Start small, build consistently, and you’ll end up creating something truly innovative for your final year! Project Includes:
PPT
Synopsis
Report
Project Source Code
Base Research Paper
Video Tutorials
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