RESPONSIBILITIES • Build a detection and classification pipeline using: • Roboflow + YOLO, or • Ultralytics YOLOv8/YOLO11 + MediaPipe, or • MoveNet/SensiAI + classifier • Detect: player, racket, ball, pose, shot type. • Compute timing and technical metrics. • Generate structured JSON: { "type_of_shot": "bandeja", "strengths": [], "improvements": [], "score": 82, "overlay_url": "" } • Generate human-like feedback using GPT-4o. • Benchmark latency + cost per video. • Deliver API or script ready for integration. REQUIRED SKILLS • Computer vision (YOLO, pose estimation, object tracking) • Python, OpenCV • Experience with sports-related CV is a plus • Experience generating text using OpenAI APIs EXAMPLES REQUIRED ✔ A vision project in sports or movement analysis (MANDATORY) ✔ Pose estimation or object detection demo ✔ GitHub code sample ✔ JSON output example ✔ Demo video detecting movement