Object-Detector-DLM-WEB is a web-based application that utilizes deep learning models for real-time object detection and tracking using your camera feed. The application is built using HTML, CSS, and JavaScript, and leverages TensorFlow.js with the COCO-SSD model to detect and label objects in the video stream.

A web-based Facial Emotion Detection app built with Django, DeepFace, OpenCV, and JavaScript. Detects human emotions like happy, sad, angry, surprise, and more — from uploaded images or live webcam capture. Lightweight, responsive, and perfect for demos, learning, or integration.

Face-api.min.js is a Core library for face detection. Webpage interface for webcam access. JavaScript file handling face detection, model loading, and displaying results on a canvas.

A real-time face detection project using face-api.js that predicts age, gender, and facial expressions through your webcam.