Python Projects for Final Year
Python Projects for final year students and the latest project ideas for BSc, BS, BE, BEng, MSc, MS, BCA, MCA, BTech and MTech. These Python projects play an important role in a student’s final year learning. These projects help students understand real applications and apply technical concepts in a practical way. Choosing the right Python project also improves practical knowledge and builds confidence for future careers.
Latest Python Project Ideas
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Arcade Shooter Game Python
This project is a fun Python game where players run, jump, and shoot goblins while moving through different levels. The game teaches players how to avoid attacks, jump across platforms, and complete challenges that get harder in each level. It has a tutorial to help beginners and an autosave feature to save progress. Players can enjoy fast-paced action with features like double jumps and sprinting. -
Credit Card Fraud Detection System Python
This project is a Python-based system that helps detect credit card fraud. It protects users by checking for unusual or suspicious transactions. The admin can monitor customers, create payment links, and see flagged transactions. The system ensures that only safe transactions are completed, keeping online payments secure. -
Fingerprint Based ATM System
This project is a Fingerprint Based ATM system that allows users to access their bank account using their fingerprint instead of an ATM card. Each person’s fingerprint is unique, making the system safer and more secure. Users can check their balance, withdraw money, transfer funds, and view recent transactions easily. It removes the need to carry an ATM card and prevents fraud. -
Heart Failure Prediction System
This project helps people find out if they might have heart problems before it becomes serious. Users give some personal and health information, and the system predicts the chance of heart failure using smart computer algorithms. It also gives advice about tests, doctors, and nearby hospitals. The system is easy to use and can help people act quickly in emergencies. -
AI Mental Health Therapist Chatbot
This project is an AI Mental Health Therapist Chatbot that talks with users like a real therapist. It can understand how users feel by analyzing their messages and then suggest helpful videos based on their emotions. The system is easy to use, safe, and gives emotional support to people who may not have access to mental health services. It uses Python, web technologies, and AI to provide personalized help in real time. -
Travel Together - A Travel Buddy Finder System
This project helps people find travel buddies and travel groups going to the same place. It allows users to register, search for groups, and communicate with group members easily. Users can join public groups or request access to private ones. The system makes trip planning more social and organized. -
Automatic Pronunciation Mistake Detector
This project is an automatic system that helps people improve their English pronunciation. Users can record words they want to speak, and the system checks for mistakes. If a word is pronounced incorrectly, it shows an error and plays the correct pronunciation. The system also keeps track of users’ mistakes and helps them practice to speak English more accurately. -
Transformer Conversational Chatbot in Python using TensorFlow 2.0
This project builds a smart chatbot that can have conversations with users through text. It uses advanced deep learning techniques to understand questions and give meaningful answers. The chatbot learns from a large collection of movie dialogues to respond naturally. Python and TensorFlow 2.0 are used to create and train the model. -
Pneumonia Detection using Chest X-Ray
This project helps detect pneumonia in patients using chest X-ray images. It uses a computer program to analyze the X-rays and identify signs of the disease early. Early detection can save lives, especially for children and people in high-risk areas. The system is easy to use and works automatically without needing a doctor to examine every image manually. -
Intelligent Video Surveillance Using Deep Learning System
This project is an intelligent video surveillance system that can find unusual activities in videos. It can work on recorded videos or live camera feeds. When it detects something abnormal, like theft or violence, it saves the important frames as images for the user. The system uses smart deep learning techniques to recognize these activities quickly and accurately. -
Use of Pose Estimation in Elderly People using Python
This project uses computer vision to watch and track how elderly people move. It looks at their body positions to find unusual movements or walking patterns. By doing this, it can help detect early signs of health issues like arthritis or dementia. The system is built with Python and can show results on a web application for easy monitoring. -
Music Recommendation System by Facial Emotion
This project creates a system that can detect a person’s emotions by looking at their facial expressions and then suggest music that matches their mood. It can automatically make a playlist based on how the person is feeling. Users can also chat with a chatbot, and the system will start playing the right music. The system works best in well-lit areas and aims to make listening more enjoyable and relaxing. -
Parkinsons Detector System using Python
This project is a Parkinson’s disease detection system that uses Python and machine learning to identify early signs of the disease. Users upload simple drawings, like spirals or waves, and the system analyzes them to determine if the person is healthy or has Parkinson’s. It works quickly, is easy to use, and can help detect the disease in its early stages when symptoms are hard to notice. -
Movie Success Prediction System using Python
This project is a system that predicts whether a movie will be a hit or a flop. It uses past movie data to learn which factors affect success. Users can see predictions before the movie releases. This helps producers and audiences make better decisions about movies. -
Face Recognition Attendance System using Python
This project creates a system that automatically marks employee attendance by recognizing their faces. It captures the face of each person and checks it against a database to confirm identity. The system is accurate, saves time, and reduces human errors compared to manual attendance methods. It works best in well-lit areas and uses simple software to handle the process. -
Organ Donation System using Python
This project is an Organ Donation System built with Python and Django. It helps patients quickly find suitable organ donors and connect with doctors. The system has two users: Admin and regular users, making the process faster and more organized. It aims to save lives by reducing delays in finding donors and managing organ transfers efficiently. -
Car Lane Detection Using NumPy OpenCV Python
This project creates a system that can detect lanes on the road using a camera and Python programming. It processes video frames to find lane markings and shows them on the screen in real-time. The system helps drivers stay in their lane and reduces the chances of accidents. It uses computer vision techniques to understand the road environment automatically. -
Python Image Forgery Detection using MD5 OpenCV
This project helps detect if an image has been tampered with. It compares a test image with the original image using Python and OpenCV. The system uses a method called MD5 to check if the images are exactly the same. If they are different, it shows that the image has been forged. -
Online Nursery Plant Shopping Website Python
This project is an online plant shopping website called Go Green. It lets people buy plants from home without visiting nurseries. Customers can see plant details, add plants to their cart or wishlist, and make payments online. Admins can manage plants, orders, and customer information easily through the system. -
Sign Language Recognition Using Python
This project creates a system that can recognize hand signs made by a person using a camera. It helps people understand the gestures of deaf or differently-abled individuals. The system uses artificial intelligence to detect signs and show their meaning on the screen. It makes communication faster and helps users learn hand signs easily.
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