🌐 CryptoAIPredictor

CryptoAIPredictor is an AI-powered cryptocurrency price prediction and analysis tool. It uses machine learning models to analyze historical data and predict potential price movements, providing insights for traders and enthusiasts.

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🚀 Features

• 📈 Price Prediction:

  • Predict future prices of cryptocurrencies using AI models like LSTMs and ARIMA.
  • View confidence intervals and historical trends.

• 🔍 Customizable Token Analysis:

  • Input your preferred cryptocurrency to analyze.
  • View historical price charts and predicted trends.

• 📊 Interactive Dashboard:

  • Visualize predictions and compare them with historical data.
  • Get detailed performance metrics of the prediction model.

• 📃 APIs:

  • RESTful APIs for integration with external systems to fetch predictions programmatically.

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🛠️ Tech Stack

• Backend: FastAPI, TensorFlow/Keras, pandas, scikit-learn
• Frontend: React, Axios, Chart.js
• Deployment: Docker, GitHub Actions

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📂 Project Structure

CryptoAIPredictor/
├── backend/             # Backend code (FastAPI)
│   ├── app/             # Core application logic
│   │   ├── main.py      # API entry point
│   │   ├── routes.py    # API routes
│   │   ├── models.py    # Database models
│   │   ├── prediction_engine.py # AI model integration
│   │   └── utils.py     # Helper functions
│   ├── requirements.txt # Backend dependencies
│
├── frontend/            # Frontend code (React)
│   ├── public/          # Static files
│   ├── src/             # Source code
│   │   ├── components/  # Reusable React components
│   │   ├── utils/       # API communication and helpers
│   │   └── App.js       # Main app file
│   ├── package.json     # Frontend dependencies
│
├── docs/                # Documentation
│   ├── architecture.md  # System architecture
│   ├── api_docs.md      # API documentation
│
├── scripts/             # Deployment and startup scripts
│   ├── deploy.sh
│   └── start.sh
├── README.md            # Project overview

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🌟 Getting Started

Prerequisites

• Node.js and npm
• Python (3.8 or later)
• Docker (optional)

Installation

1. Clone the Repository:

   git clone https://github.com/<your-username>/CryptoAIPredictor.git
   cd CryptoAIPredictor

2. Backend Setup:

   • Navigate to the backend directory:

     cd backend

   • Install dependencies:

     pip install -r requirements.txt

   • Start the backend server:

     uvicorn app.main:app --reload

3. Frontend Setup:

   • Navigate to the frontend directory:

     cd ../frontend

   • Install dependencies:

     npm install

   • Start the frontend server:

     npm start

4. Access the App:

   • Frontend: http://localhost:3000
   • Backend: http://localhost:8000

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🤝 Contributing

1. Fork the repository.
2. Create your feature branch: git checkout -b feature/AmazingFeature.
3. Commit your changes: git commit -m 'Add some AmazingFeature'.
4. Push to the branch: git push origin feature/AmazingFeature.
5. Open a pull request.

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📝 License

This project is licensed under the MIT License.

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Happy Predicting! 🚀