# KickCut: AI-Powered Football Highlights Extraction

> An AI-driven system that automates football highlight generation by detecting key match moments with advanced computer vision and ML models.

- **Category:** AI/ML
- **Scope:** AI/Computer Vision
- **Client:** Sports Media Startup
- **Year:** 2024
- **Duration:** 7 months
- **Page:** https://www.cognidiv.com/our-work/kickcut-football-highlights

## Overview
KickCut automates football highlight creation by detecting goals, saves, fouls, and celebrations using AI. It processes full-length matches and compiles highlight reels, reducing manual editing. Powered by YOLO v8, ResNet50, and Vision Transformers with OpenCV and TensorFlow, the system ensures accurate detection. The frontend is in React.js, with FastAPI managing backend video processing. KickCut offers real-time efficiency for clubs, creators, and media startups.

## Key features
- Automated moment detection
- Highlight reel generation
- Player and team identification
- Real-time processing

## Challenges solved
- Training accurate CV models
- Handling multiple camera angles
- Real-time video processing
- Adapting to varied video quality

## Technologies
React.js, FastAPI, Python, OpenCV, TensorFlow, YOLO v8, ResNet50, Vision Transformers

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Source: https://www.cognidiv.com/our-work/kickcut-football-highlights
