AlphaScanAI

🏆 3rd Place AI Track Prize Winner ($10,000) at OpenCampus EDUChain Semester 3 Hackathon and currently being incubated under OpenCampus Incubation Program

AlphaScanAI is a cutting-edge DeFAI (Decentralized Finance AI) agent that revolutionizes crypto trading by providing intelligent, data-driven insights and automated trading decisions. Our platform combines Telegram signal monitoring, Twitter verification, and historical data analysis to deliver reliable trading opportunities.

🌟 Key Features

• Multi-Source Alpha Collection: Aggregates trading signals from Telegram channels
• Cross-Platform Verification: Validates signals against Twitter activity
• Historical Analysis: Performs comprehensive historical data analysis
• Deterministic Validation: Implements trust layers backed by real data
• Autonomous Trading: AI-powered decision making for buy/sell operations
• Transparent Operations: Clear visibility into the decision-making process

AlphaScanAI Backend System Architecture Overview

🔒 Security & Trust

AlphaScanAI prioritizes security and transparency:

• Deterministic validation processes
• No reliance on synthetic data
• Clear audit trails for all decisions
• Multi-layer verification system

🏗️ Architecture

The project is built with a modern, scalable architecture:

Backend (tg-backend/)

• Python-based Telegram signal processing
• Web3 integration for blockchain interactions
• Smart contract interaction utilities
• Signal validation and processing logic

Frontend (op-frontend/)

• Next.js-based modern web application
• TypeScript for type safety
• Tailwind CSS for responsive design
• Real-time data visualization

🚀 Getting Started

Prerequisites

• Node.js (v16 or higher)
• Python 3.8+
• Telegram API credentials
• Twitter API credentials
• Web3 provider access

Installation

1. Clone the repository:

git clone https://github.com/your-org/AlphaScanAI.git
cd AlphaScanAI

2. Set up the backend:

cd tg-backend
pip install -r requirements.txt
cp .env.example .env
# Edit .env with your credentials

3. Set up the frontend:

cd op-frontend
npm install
# Configure environment variables

Running the Application

1. Start the backend:

cd tg-backend
python tele.py

2. Start the frontend:

cd op-frontend
npm run dev

🤝 Contributing

We welcome contributions! Please read our contributing guidelines and submit pull requests.

📄 License

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

📞 Support

For support, please reach out to our team or join our community channels.

🌐 Links

• Website
• Twitter
• Documentation