Training and evaluating state-of-the-art deep learning CNN architectures for plant disease classification task.

This software has been developed to simulate the digital logic gates. what makes it special is its integration with deep learning to control the simulator using hand gestures

Real-time face and eye tracking using OpenCV/Deep Learning. Drowsiness detection through eye aspect ratio (EAR) and blink frequency. Instant audio/visual alerts when signs of fatigue are identified. Flexible deployment on PC or edge devices. Potential integration with IoT for vehicle safety systems.

OncoScan AI is a full-stack explainable artificial intelligence system developed for detecting brain tumors from MRI images using a Convolutional Neural Network (CNN). The system integrates Grad-CAM for heatmap-based explainable AI visualization, a FastAPI backend for prediction and data management, and a web-based frontend interface for user inter