25 Top Deep Learning Projects in Mysore
At Aislyn Technologies, we provide the most advanced and in-demand deep learning project kits. Below are 25 high-quality, IEEE-supported project titles:
Brain Tumor Detection from MRI Images Using CNN
Face Mask Detection in Real-Time Using YOLOv5
Plant Leaf Disease Classification Using MobileNet
Pneumonia Detection from Chest X-rays Using CNN
Real-Time Object Detection Using YOLOv8
Age and Gender Detection Using Deep Learning
Optical Character Recognition (OCR) Using Deep Learning
License Plate Recognition Using CNN and Tesseract OCR
Skin Cancer Classification from Dermoscopy Images
Sentiment Analysis Using LSTM
Dog vs Cat Image Classification Using CNN
Emotion Detection from Facial Images Using Deep CNN
Fake News Detection Using NLP & Deep Neural Network
COVID-19 X-Ray Image Classification Using VGG16
Vehicle Detection in Traffic Footage Using YOLO
Handwritten Digit Recognition with MNIST Dataset
Fruit Freshness Classification Using Image Dataset
Face Recognition Attendance System Using Deep FaceNet
Speech Emotion Recognition Using RNN and Audio Signals
DeepFake Video Detection Using CNN + LSTM
Music Genre Classification from Audio Using CNN
Driver Drowsiness Detection Using Real-Time Video
Real-Time Fire Detection Using YOLO and OpenCV
Traffic Sign Recognition Using Pre-trained Models
Breast Cancer Detection from Histopathological Images
Each project includes Python code, dataset, model file, documentation, PPT, report, and demo video.
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