Object Detection Applied to Rugby – Computer Vision
A computer vision model that detects players, the ball and referees from match footage. The dataset was built from extracted frames manually annotated on Roboflow, with a YOLOv8 model trained through transfer learning and iterative work on common computer vision issues such as class imbalance and annotation errors.
The model is still a work in progress, particularly the ball detection.
Football Data Analytics Platform – Ligue 1
A platform that centralizes multi-source match data (events, fixtures, transfer market) through an ETL pipeline with relational modeling on PostgreSQL (Supabase). Machine learning models (xG, xA, playing-style detection) power an interactive multi-page web app, deployed with CI/CD.
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AI Lead Qualification Agent
An AI-powered agent that extracts structured information about leads and assigns them a qualification score. It integrates LLM APIs, n8n, Airtable and Cal.com to automate routing and follow-up actions, with validation and human-review mechanisms for uncertain cases.
For v2, I'm currently working on a RAG layer so the agent can answer specific questions about services, pricing, and past projects, not just qualify and route leads.