Offside Zero uses the Gemini 3 API as the sole AI engine to analyze recorded football matches and make explainable decisions for offside and handball incidents. It overlays the correct lines/zones on the pitch, generates a slow‑motion replay, and sends a decision to a referee/fan dashboard - turning Virtual Assistant Refereeing from subjective review into evidence‑based, real‑time officiating.

After MVP validation on recorded footage, we will connect the same pipeline to live broadcasts for deployment.

Gemini 3 Integration Offside Zero uses the Gemini 3 API as the core multimodal reasoning engine to eliminate VAR errors in football. We ingest recorded match footage and focus on two high‑impact events: offside and handball. Gemini 3 processes video frames, infers player and ball positions, and performs spatial‑temporal reasoning to determine the correct decision.

Gemini 3 then triggers tool calls to draw overlay geometry (offside line, penalty zones, contact points), generate slow‑motion replay segments, and publish the decision to a live notification dashboard for referees and viewers. Each decision includes an explainable summary and a confidence score. The result is a real‑time, evidence‑based officiating assistant that turns VAR from a subjective review into an AI‑verified system. After MVP validation on recorded matches, the same Gemini‑only pipeline is designed to integrate with live broadcasts and referee hardware for in‑stadium use.

MVP Scope

Input: recorded match footage
Detect: offside + handball
Output: slow‑mo annotated replay + live decision dashboard overlay

Built With

  • antigravity
  • gemini
  • gemini3
  • gemini3api
  • googleaistudio
  • googlecolab
  • openclaw
  • python
Share this project:

Updates