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real-time-processing

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Developed an interactive browser game that uses real-time facial emotion detection to dynamically adjust gameplay difficulty. Leveraged face-api.js to read emotional states (happy, sad, angry, etc.) through the webcam, and adjusted obstacle speed accordingly. Implemented gameplay in p5.js, integrated emotion-based state logging

  • Updated Jun 7, 2025
  • JavaScript

A real-time profanity detection system on Raspberry Pi using Pyannote.ai and Flask, featuring a React dashboard with Firebase Authentication for usage tracking, AWS S3 for audio uploads, MySQL-backed secure CRUD endpoints for moderation edits, and a PyDub-based rolling audio buffer.

  • Updated Feb 14, 2025
  • JavaScript

This web application utilizes React and the MediaPipe Holistic model to facilitate real-time detection of facial and hand landmarks via webcam. It analyzes head orientation, tracks eye blinking, and visually represents landmarks and connections on an interactive canvas. Furthermore, it optimizes performance by efficiently logging relevant data .

  • Updated Oct 22, 2024
  • 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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