Convolutional Neural Network Projects for Final Year
Convolutional Neural Network Projects for final year students and the latest project ideas for BSc, BS, BE, BEng, MSc, MS, BCA, MCA, BTech and MTech. These Convolutional Neural Network 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 Convolutional Neural Network project also improves practical knowledge and builds confidence for future careers.
Latest Convolutional Neural Network Project Ideas
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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. -
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. -
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. -
Diabetic Retinopathy Detection From Retinal Images
This project focuses on detecting diabetic retinopathy, an eye disease that can cause blindness, using retinal images. The system automatically analyzes images of the retina to find damaged blood vessels, which helps in identifying the disease early. It uses image processing techniques to clean the images and extract important features, making detection faster and more accurate. Users simply input a retinal image, and the system detects the presence of diabetic retinopathy. -
Leaf Detection System using OpenCV Python
This project is a Leaf Detection System that can identify leaves from an image. Users can upload a leaf image, and the system will detect the leaf and tell its type. It uses Python and OpenCV for image recognition and shows how accurate the detection is. The system is easy to use and works through a web interface. -
Traffic Sign Recognition System using CNN
This project focuses on identifying road signs automatically from images, videos, and live camera input. It helps users understand traffic signs that are often ignored or misunderstood. The system shows the name of each detected sign along with how confident the result is. This approach supports safer driving and future smart vehicle systems. -
Facial Emotion Recognition and Detection in Python using Deep Learning
This project is about making a computer program that can understand human emotions by looking at faces. It can detect if someone is happy, sad, angry, afraid, surprised, disgusted, or neutral. The system uses a type of artificial intelligence called deep learning to recognize facial expressions in real-time. It can watch people’s faces and correctly identify their emotions automatically. -
Knee Osteoarthritis Detection & Severity Prediction
This project helps detect knee osteoarthritis and shows how severe it is. It allows patients to upload their X-ray images and personal details safely. The system uses artificial intelligence to learn from many images and compare new X-rays to predict the disease. Early detection helps in taking timely care and managing symptoms effectively. -
Facial Emotion Detection using Neural Networks
This project builds a system that can read human emotions from face images. It uses a type of computer model that learns from many examples to recognize if a person is happy, sad, or showing another feeling. The system works with a camera and compares what it sees to known emotion patterns. It can help software respond better to people in real time. -
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. -
Detecting Brain Tumors and Alzheimer’s Using Python
This project is about using a computer program to detect brain tumors and Alzheimer’s disease early. It analyzes brain scans to find problems that may affect memory or brain function. The system helps doctors by showing results after processing the images using smart techniques in Python. Early detection can improve treatment and patient care. -
Signature Verification System Using CNN
This project is a Signature Verification System that can check if a handwritten signature is real or fake. It uses a type of artificial intelligence called CNN to compare signatures. Users upload an original signature and a new signature, and the system tells if they match. This helps prevent forgery and makes verification faster and more accurate.
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