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# Football for Good: Hackathon Finals - Live Pitches & Awards

Can multi-agent architecture democratize grassroots football? Watch developers pitch autonomous AI prototypes that scout hidden talent, simulate tactical coaching, and orchestrate matches seamlessly.

- **Speakers:** [Salih Guler](https://www.wearedevelopers.com/@salih-guler)
- **Event:** World Congress 2026 Europe
- **Published:** July 10, 2026
- **Duration:** 9:44
- **URL:** https://www.wearedevelopers.com/videos/100330-football-for-good-hackathon-finals-live-pitches-awards

## Summary

**Democratizing Grassroots Sports with AI** The Football for Good hackathon finals showcased agentic architecture prototypes designed to bridge the resource gap in amateur athletics. The first-place project, Tactis Scout, leverages aws-powered computer vision to extract actionable player statistics from messy tablet footage. By benchmarking local players against professionals, the AI generates four-week customized training plans, giving underfunded clubs the tools to scout hidden talent and build inclusive rosters. **Multi-Agent Simulation and Logistics** Pushing the technical boundaries, the second-place team debuted a multi-agent simulated coaching environment. This system pits aspiring football managers against an AI opponent while an assistant agent provides real-time strategic feedback, circumventing the need for expensive real-world coaching resources. The third-place team tackled operational friction with a Footy AI agent that orchestrates matches fully autonomously. By processing simple natural language requests, the chatbot contacts venues, secures availability, collects direct RSVPs via WhatsApp, and balances teams using player skill rankings. **Scalable Community Impact** These solutions collectively demonstrate how deploying multi-agent workflows can eliminate logistical overhead in local sports. From automating talent discovery and tactical mentoring to frictionless venue booking, these developer prototypes offer a scalable blueprint for empowering community recreation.

**Keywords:** ai agent hackathon prototypes, grassroots sports technology, computer vision player scouting, multi-agent coaching simulation, automated venue coordination, natural language match booking, skill-based team balancing, video data processing, aws machine learning infrastructure, autonomous sports logistics, ai assistant coach, amateur talent discovery, multi-agent workflows, chatbot event organization

## Chapters

1. **Tactic scout application for local football team analysis** (00:00) — An AI application processes messy tablet video and compares amateur player stats with professionals to produce personalized training plans.
1. **Scaling tactic scout for global community inclusivity** (01:46) — Using AWS credits to expand the computer vision model helps clean messy data and connect global football communities.
1. **Multi-agent systems for training aspiring football coaches** (04:25) — A multi-agent simulation acts as an opponent and assistant coach to provide strategic feedback to aspiring managers.
1. **Footy agent for organizing community football matches** (05:24) — A conversational AI agent coordinates venues, invites players, and balances teams based on skill rankings.
1. **Adapting the footy AI agent across different sports** (08:32) — Adapting the scheduling agent for other sports resolves friction in matching diverse player skill levels.

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