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A full-stack web application that detects face masks in images using a custom deep learning model. Built with FastAPI backend and React frontend, this system provides both visual detection with bounding boxes and JSON-based predictions.
A robust deep learning system to detect whether individuals are wearing face masks properly or not. This project uses PyTorch and the MobileNetV2 architecture for efficient and accurate mask detection.
A simple browser-based game where a character tries on different face mask designs. Using drag-and-drop, players of any age can explore various styles in a fun and interactive way, showing how small actions can make a difference in public health.
A simplified approach to achieve this purpose using some basic Machine Learning packages like TensorFlow, Keras, OpenCV. This method detects the face from the image correctly and then identifies if it has a mask on it or not.