Qazan AI 📊🤖

This repository hosts the Minimum Viable Product (MVP) of Qazan AI's future technical analysis tool. Our SaaS platform aims to provide investors with AI-enhanced insights, giving them a competitive edge in financial markets.

🚀Project Overview

Qazan AI leverages cutting-edge artificial intelligence to analyze financial charts and offer actionable insights for investors. This MVP demonstrates our core functionality through a user-friendly web interface built with Flask and served by Nginx. Users can upload graphs of financial asset quotations and receive detailed AI-generated analyses to inform their investment decisions.

✨Features

Upload Financial Charts:

Users can upload images of financial asset charts directly through the web interface. AI-Driven Analysis: The application utilizes OpenAI's GPT-4 to analyze uploaded charts and generate investment insights.

Secure and Scalable Backend:

User-Friendly Interface:

Intuitive web design for seamless user experience.

Tech Stack

Frontend: HTML, CSS, JavaScript Backend: Python, Flask AI Engine: OpenAI GPT-4 Database: PostgreSQL Server: Nginx Environment Management: Python-dotenv

🛠️Getting Started

Follow these instructions to set up and run the project locally.

🏁Prerequisites

Python 3.8 or higher PostgreSQL Nginx Pipenv (optional but recommended for environment management)

Installation

Clone the Repository

git clone https://github.com/yourusername/qazan.git
cd qazan

Install Dependencies

pip install -r requirements.txt

Set Up Environment Variables

Create a .env file in the root directory and add your environment variables:

OPENAI_ORG_ID=your_openai_org_id
OPENAI_API_KEY=your_openai_api_key
DB_USER=your_db_user
DB_PASS=your_db_password
DB_HOST=your_db_host
DB_NAME=your_db_name

Database Migration

flask db init
flask db migrate -m "Initial migration."
flask db upgrade

Run the Application

flask run

Nginx Configuration

To serve the Flask app through Nginx, configure your Nginx server block as follows:

server {
    listen 80;
    server_name your_domain.com;

    location / {
        proxy_pass http://127.0.0.1:5000;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
    }

    location /static {
        alias /path_to_your_project/static;
    }
}

🌐 Usage

Access the Web Interface Open your browser and navigate to http://your_domain.com.

📈Upload a Chart

Click the upload button and select a financial asset chart image (PNG, JPG, or JPEG).

Receive Analysis

The AI will analyze the uploaded chart and provide investment insights on the results page.

🤝 Contributing

We welcome contributions from the community. To contribute:

Fork the repository. Create a feature branch. Commit your changes. Push to your branch. Create a pull request. Please adhere to the project's Code of Conduct and see CONTRIBUTING.md for detailed guidelines.

📄License

📬Contact

For any inquiries or feedback, please contact us at [email protected]

Thank you for being part of Qazan AI's journey to revolutionize financial market analysis with AI!

By Vigilantia - Proudly from Metz

Feel free to customize further as per your project's needs!

nimadata / qazan Goto Github PK

qazan's Introduction