Inspiration

Professional clubs usually spend hundreds of thousands of yuan on video analysis systems. Industry-standard tools like Hudl Sportscode or Catapult are priced prohibitively for amateur teams. As a result, grassroots coaches, youth training camps, and amateur teams have to rely on visual review. Most coaches find it difficult to easily calculate information such as 'blocked passing lanes' or 'changes in intensity' just by watching, due to the lack of objective data support. This not only makes it hard to quantify progress but also leads to high costs and significant time consumption. Coaches urgently need feedback that is 'visual and actionable.' In addition, education departments and football associations in various countries encourage the creation of policies that promote the integration of technology and sports.

What it does

We use Google’s latest multimodal large model, Gemini, to break these barriers, providing real-time AI-powered deep analysis of tactical formations, attack-defense transitions, and data insights, while intelligently generating personalized training plans. At a very low cost, every coach and enthusiast can have professional-level tactical analysis capabilities.

How we built it

First, the uploaded video is processed to extract frames and detect players using YOLO technology, extracting player positions, ball trajectories, and key events (passes, shots, tackles, etc.) for tactical analysis. Then, the Gemini large model API is called, with prompts strictly constrained to output JSON, automatically generating a structured tactical report and aggregating and calculating data such as possession. Finally, a multimodal output is provided, including a data dashboard, dynamic formation diagrams, and AI commentary (TTS), meeting different visual and auditory scenario needs.

Challenges we ran into

Video analysis is a computation-intensive task. Under low-cost constraints, balancing analysis speed (user wait time) and cloud service costs is a significant challenge.

Accomplishments that we're proud of

Grassroots and Youth Coaches: Small clubs often lack the resources to hire analysts. This app allows volunteer coaches to upload a 60-second clip of a specific moment in a game (such as a conceded goal or a successful tackle) and receive instant tactical analysis, which can be shown to players during halftime or training. Scouts and Recruitment: Scouts can quickly process highlight clips of players to verify whether their positioning aligns with the "playing style" required by the recruiting club. Player Self-Analysis: Individual players can use the 'momentum change' tool to precisely see the peaks and troughs of their influence during a match.
Problems It Solves: 'Analysis Delay': Professional manual coding (event tagging) takes 3-4 hours per match, whereas TactiqAI completes it in under 60 seconds.

What's next for AI Football Coach

  1. Supports multi-segment comparison: overlay control curves of 'this match vs last match' and automatically highlight points of improvement/decline.
  2. Generate personalized training plans with PDF export, including drill diagrams, sets, and intensity in a printable document.
  3. Collaborate with sports camera brands to pre-install the AI Football Coach plugin.

Built With

Share this project:

Updates