🚀 AUTO-SCOUT: Tactical Intelligence Unit

The Next-Gen Esports Scouting Platform for Auto Scout Analytics

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⚡ Overview

Auto-Scout is a cutting-edge tactical analysis tool designed to give esports teams a competitive edge. By combining real-time match data with Google Gemini's generative AI, Auto-Scout processes raw match history into actionable strategic insights, drafting recommendations, and player tendency reports—all presented in a high-fidelity Sci-Fi "Glassmorphism" HUD.

🎥 System Demo

📸 Interface Preview

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🔥 Key Features

• 🔎 Instant Opponent Scan: Input any pro player or team tag (e.g., Faker, T1, G2) to retrieve instant match analytics.
• 🧠 AI-Powered Strategy: Uses Gemini 1.5 Flash to generate deep-dive scouting reports, identifying win conditions, weakness exploitation, and draft counters.
• 📊 Real-Time Metrics: Visualizes Win Rate, KDA, Gold per Minute, and First Blood participation with reactive charts.
• 🛡️ Champion Pool Detection: Automatically extracts and displays the most played champions from the last 5 games.
• ✨ Pro-Level UX: A fully responsive, dark-mode specialized interface featuring neon glows, tactical fonts, and smooth animations.

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🛠️ Tech Stack

Backend (The Brain)

• FastAPI: High-performance async API framework.
• Google Gemini API: For generating semantic scouting reports.
• Pydantic: Robust data validation and settings management.

Frontend (The Face)

• Vanilla JS + HTML5: Lightweight, no-build architecture.
• Tailwind CSS: Utility-first styling for complex layouts.
• Orbitron & Inter Fonts: For that signature "Esports" look.

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🚀 Quick Start

1. Clone the Repository

git clone https://github.com/LiwaaCoder/auto-scout.git
cd auto-scout

2. Configure Environment

Create a .env file in the root directory and add your Gemini API key:

GEMINI_API_KEY=your_api_key_here

3. Install Dependencies

pip install -r backend/requirements.txt

4. Deploy the System

Start the backend analysis engine:

cd backend
uvicorn main:app --reload

Then, simply open index.html in your browser, or serve it:

# In a new terminal window
python -m http.server 3000

Visit http://localhost:3000 to access the HUD.

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🔮 Future Roadmap

• Live Draft Assistant: Real-time pick/ban recommendations during champion select.
• Vision Mapping: Heatmaps for warding locations based on historical data.
• Team Sync: Multiplayer lobby for coaches and analysts to view the same session.

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📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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Built with 💙 by Auto Scout Team