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deepface

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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

  • Updated Feb 14, 2023
  • JavaScript

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)

  • Updated Feb 25, 2026
  • JavaScript

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.

  • Updated Apr 23, 2025
  • JavaScript

Advanced computer vision application with facial recognition, emotion analysis, and real-time image processing for intelligent employee attendance tracking using OpenCV, DeepFace, and Flask.

  • Updated Sep 17, 2025
  • JavaScript

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