ActiveMentor is an AI-powered gym coach that enhances the fitness experience by providing real-time workout guidance and optimizing resources for gym owners.

TensorFlow and OpenCV for real-time video analysis, using computer vision to track body movements and compare them against trained models of correct workout form. Node.js handles API requests and user sessions Python is used for AI model inference. Redis is employed as a real-time cache for workout session data, ensuring fast feedback to users. AWS for deployment, using Lambda for scalable serverless computing to handle real-time model inference and video processing. S3 buckets to store user data, including videos and workout history, allowing for efficient access and retrieval.