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Hello, everyone I am going to build a full-stack web app that streams user-uploaded videos (using technologies like WebRTC or HLS for streaming) and uses AI (e.g., computer vision with TensorFlow to analyze video content like scenes or emotions) to recommend similar videos. Integrate automation scripts to process uploads in the background, and include a data analysis dashboard to track user engagement metrics (views, watch time) with visualizations. Looking for a full-stack developer with expertise in video streaming (WebRTC/HLS), AI (TensorFlow for content analysis), automation (Python scripts for batch processing), and data analysis (Pandas/Matplotlib) to build an AI-driven video recommendation platform. The app should allow users to upload and stream videos, analyze content for personalized recommendations, automate upload workflows, and provide analytics dashboards for engagement insights. You should deliver MVP in 7~9 weeks with clean, scalable code. And then we will plan for production based on MVP.