Clash Royale Computer Vision Assistant

A computer vision–powered assistant for Clash Royale that helps track your opponent’s elixir, card cycle, and player statistics in real time.

This project combines computer vision, OCR, and data analysis to extract meaningful gameplay insights directly from match footage or live gameplay.

⚠️ This project is for educational and research purposes only. It is not affiliated with or endorsed by Supercell.

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Features

🎮 In-Game Tracking (Computer Vision)

• Opponent elixir estimation
• Card cycle tracking
• Detection of cards played in real time

📊 Player & Profile Insights

• Clan name
• Most played deck
• Win rate
• Match history summary (if available via public data)

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🧠 How It Works

1. Video Input

   • Live gameplay capture or recorded footage

2. Computer Vision

   • Card recognition using YOLO
   • Elixir bar detection & estimation
   • OCR for text-based data (player name, clan, etc.)

3. Game Logic Engine

   • Tracks card rotation (8-card cycle)
   • Updates elixir count based on time and card cost

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🛠️ Tech Stack

• Python
• OpenCV
• NumPy
• Tesseract OCR
• YOLO
• Requests / APIs for player data

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📦 Installation

git clone https://github.com/yourusername/clash-royale-cv-bot.git
cd clash-royale-cv-bot
pip install -r requirements.txt