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realtime-video

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Flick is a powerful AI-driven SaaS platform for real-time video sharing and collaboration, crafted for both web and desktop environments. Designed for seamless video recording, streaming, and sharing without third-party dependencies, Flick offers teams and individuals an integrated workspace to create, manage, and share video content in real-time.

  • Updated Oct 30, 2024
  • TypeScript

Developed a comprehensive object detection and tracking project using YOLOv8 and the SORT algorithm for real-time tracking. Implemented both procedural and OOP approaches for maintainable code. Features include real-time detection, counting detected objects, and various output formats, with well-documented scripts for easy modification.

  • Updated Oct 10, 2023
  • Jupyter Notebook

Real-time video broadcasting backend built with Django and WebRTC. Implements WebSocket signaling with Django Channels and supports unique stream IDs for live video streams. Designed for containerized deployment with Docker and seamless integration with a React frontend.

  • Updated Jun 5, 2025
  • Python

WebCamBroadcast Frontend — A React + Vite powered frontend for a real-time WebRTC broadcasting app. Provides broadcaster and viewer interfaces to create and join live streams via unique stream IDs, connecting seamlessly with the Django backend.

  • Updated Jun 5, 2025
  • JavaScript

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