Deep Learning Projects for Final Year

Deep Learning Projects for final year students and the latest project ideas for BSc, BS, BE, BEng, MSc, MS, BCA, MCA, BTech and MTech. These Deep Learning 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 Deep Learning project also improves practical knowledge and builds confidence for future careers.

Latest Deep Learning Project Ideas

  1. Human Detector and Counter using Python
    This project is used to find and count people in images, videos, or live webcam footage. The user uploads media, and the system automatically detects human presence. It helps in areas like crowd monitoring and safety analysis. The focus is only on detecting people, not on what they are doing.
  2. Face Recognition Attendance System
    This project is a smart attendance system that uses face recognition to mark when people arrive. It takes a photo of each person, saves it, and matches it the next time they enter. If someone is late, the system gives a voice warning. It helps save time and keeps attendance secure.
  3. Yoga Poses Detection using OpenPose
    This project helps people practice yoga correctly using a computer and a camera. It looks at a photo or live video and recognizes the yoga pose being performed. The system then shows the name of the pose and helps the user understand their posture. This allows users to practice yoga safely even without a trainer.
  4. Android Voting System Using Face Recognition
    This project creates an Android voting system that uses face recognition to make voting easier and more secure. Voters can log in, check polls, and vote for their favorite candidates while their identity is protected. Admins can manage users, create public or private polls, and track results. The system aims to increase voter participation and give accurate results compared to traditional voting methods.
  5. Fake Product Review Monitoring & Removal For Genuine Ratings Php
    This project helps users find real reviews of products online. It detects fake reviews by tracking patterns and IP addresses of users posting reviews. If a review is found to be fake, the system alerts the admin to remove it. This ensures that people can trust the ratings before buying a product.
  6. Bone Fracture Detection using Python
    This project creates a system that can automatically detect bone fractures from X-ray images. A user can upload an X-ray, and the system highlights the broken area. This helps doctors quickly identify fractures without errors or delays. It also allows hospital admins to manage patient and hospital records efficiently.
  7. Cancer Prediction Using Data Mining
    This project is a web application that helps people get quick guidance about cancer. Users enter their health details, and the system checks for possible illnesses using smart data analysis. It then shows the most likely cancer type and suggests doctors for further treatment. The application can be used in emergencies when doctors are not immediately available.
  8. Currency Detector App for Visually Impaired
    This project is a mobile app that helps visually impaired people identify paper money. The user can speak a command to open the phone camera, take a picture of a note, and the app will tell them the value using voice. It uses technology to understand speech commands and read the currency aloud. The app recognizes different notes by analyzing their images with machine learning.
  9. Dental Caries Detection System using Python
    This project is a smartphone-based system that can detect dental caries from a photo uploaded by the user. It uses artificial intelligence to check if a tooth has decay or not. The system is easy to use and saves people from visiting a dental clinic. It can help more people get timely dental examinations, especially where regular checkups are costly.
  10. Digital Watermarking Project
    This project creates a system that protects images on the internet. It adds a visible or hidden mark called a watermark to pictures. The watermark stops others from copying or using images without permission. Users can share images online while keeping their ownership safe.
  11. Chatbot Assistant System using Python
    This project is a Chatbot Assistant that helps users get instant technical support. Users can create an account, log in, and ask questions directly to the chatbot. The chatbot gives quick answers and clickable links to guide users. It is easy to use and saves time by solving problems without waiting for a human representative.
  12. Hand Gesture Recognition Project
    This project is about recognizing hand gestures using images. The system can count how many fingers are shown in a picture. It first finds the hand in the image and then processes it to detect individual fingers. Finally, it shows the finger count to the user accurately.
  13. Bone Fracture Detection System
    This project is about creating a system that can detect broken bones from X-ray images automatically. It cleans the X-ray images to remove noise and makes them clearer. Then it tracks the bones and identifies fractures by type. The system shows a box around the fracture and helps doctors detect broken bones more quickly and accurately.
  14. Depression Detection System using Python
    This project is a system that can detect different types of depression, like anxiety, PTSD, or bipolar. Users speak about themselves for one minute while the system analyzes their facial expressions and answers a short quiz. It then identifies the type of depression and suggests nearby clinics to consult a psychiatrist. This helps people understand their mental health and seek help quickly.
  15. Digital Watermarking To Hide Text Messages
    This project hides one image inside another image to protect information. A black and white image is hidden inside a color image without changing how it looks. The hidden image can later be safely recovered from the color image. This helps in protecting image ownership and preventing misuse.
  16. 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.
  17. Skin Disease Detection System Using CNN
    This project helps people detect skin diseases using images of their skin. Users can upload a photo, and the system will identify the type of disease. It also suggests doctors based on the detected disease. The goal is to help people get early awareness and faster treatment for skin problems.
  18. Bus Pass Android Project
    This project is an Android app that helps people manage their bus passes using a mobile phone. Users can apply for a new pass, renew an old one, cancel it, and make payments online. The app also shows bus routes, numbers, and available schemes for different types of passes. Admins can track user details and transactions, making the system easy and convenient to use.
  19. Artificial Intelligence HealthCare Chatbot System
    This project is about creating a smart healthcare chatbot that can talk with people through text or voice. It helps patients find doctors, book appointments, and get health information anytime. The chatbot uses artificial intelligence to answer questions clearly and guide users step by step. Hospitals can use it to provide 24/7 support and manage patient queries automatically.
  20. Credit Card Fraud Detection
    This project is about detecting credit card fraud. The system studies how a user normally spends money and where they usually use their card. If it notices unusual spending or location, it asks the user to verify their identity. The system can even block the card after several suspicious attempts to keep the user safe.

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If you are looking for the best Deep Learning projects, want more project ideas or need expert guidance, contact us today. Our team will help you select the right project and complete it successfully with practical experience.