Develop an intelligent system that analyzes sport videos to detect players, track movements, recognize actions, and generate performance indicators for sports such as volleyball, football, or basketball. The solution supports coaches in decision-making and match analysis.

Responsibilities/Objectives:

• Collect and prepare sport video datasets (training, preprocessing, augmentation)
• Detect players and relevant objects using Computer Vision techniques
• Implement tracking of players/actions during matches
• Build an action recognition module to classify key events (pass, attack, block, goal, etc.)
• Generate dashboards or reports summarizing the analysis
• Optimize the model for real-time or near-real-time processing

Technologies:

• Python, ML/DL (TensorFlow or PyTorch)
• Computer Vision (OpenCV, MediaPipe, YOLO…)
• Data processing/annotation tools
• REST API development (optional)
• Basics of data visualization

Profile:

• Students in CS, AI, Data Engineering or related fields
• Knowledge of ML/DL fundamentals
• Interest in sports analytics is a plus

Number of slots: 2

📧 Pour postuler: contact@riverbytesoft.com