Deep Face Recognition UI With ReactJS
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Updated
May 13, 2026 - JavaScript
Deep Face Recognition UI With ReactJS
Developed a emotion recognition system using controlled AI and OpenCV, which utilizes dlib library for face detection and Deepface library for emotion recognition. By capturing screenshots of Google Meet sessions, the system predicts emotions ,provides valuable insights for teachers to adapt their teaching methods to their students emotional states
An AI-Based Emotion Aware Music Recommender This is a full-stack web application designed to provide personalized music recommendations by analyzing a user's real-time facial emotion. It's built on a modern structure : a React frontend (for the user interface) and a Flask (Python) backend (for handling AI, user data, and external APIs)
Trang web quản lí và chấm công bằng gương mặt .
This project was a collaborative effort completed for a university course titled, "Making People Understand Facial Recognition Technologies: Building an AI Application as Didactic Tool".
It is a Face Recognition Photo Sorter website
This project is developed for Venture Base Hackathon 2025.
MindMate AI is an advanced AI-powered mental wellness platform designed especially for students to help manage stress, burnout, anxiety, focus issues, and emotional wellbeing. The system combines AI chatbot conversations, real-time emotion detection, wellness analytics.
AI-powered real-time criminal face detection system | React + Supabase + DeepFace (Facenet512) | Live surveillance, angled face detection, criminal database & role-based access control
Introducing an innovative electronic voting system, VoteChain, fortified with end-to-end encryption, blockchain technology, and user-friendly design, ensuring a secure, transparent, and streamlined democratic experience.
:🎵 AI-powered music recommender with facial emotion detection. Creates 20-song personalized playlists using DeepFace, Gemini AI, Last.fm & YouTube APIs. Supports Hindi/English music. Built with React + FastAPI.
A web application for song recomendation based on your current emotion
"No room for tricks, just honest clicks" Welcome to our Auto Exam Proctoring platform, a cutting-edge solution designed to maintain the integrity of online examinations. We leverage advanced technology to monitor exam takers, ensuring a fair and secure testing environment for all participants
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.
Advanced computer vision application with facial recognition, emotion analysis, and real-time image processing for intelligent employee attendance tracking using OpenCV, DeepFace, and Flask.
Anti-spoofing facial recognition attendance system with liveness detection, built for environments where proving genuine physical presence matters more than checking a box.
Smart campus system with AI study assistant, face recognition attendance, student/teacher portals, and admin dashboard
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