• 1. [Islam Ali]
• 2. [Peter Magdy Gamil]
• 3. [Mostafa Saad]
• 4. [Esraa Kamel]
• 5. [Mohamed Khaled]
• [no contribute] 6. [Mahmoud Mohamed Elebiare]
• [no contribute] 7. [Mohamed Alaa Eldin Fouad Ahmed Mansour]

graph TD
    A[Start] --> B{User Interface};
    B --> C[Login Page];
    C --> D{Authentication};
    D -- Success --> E[Main Dashboard];
    D -- Failure --> C;
    C --> F[Sign Up Page];
    F --> C;

    G[Start Application] --> H[Start API Server];
    H --> I[Start Streamlit App];
    I --> E;
    J[API Server];
    E --> J;
    J --> E;

graph TD
    A[Start] --> B[Automated Dataset Pipeline];
    B --> C[Data Processing & Analysis];
    C --> D[Time Series Forecasting];
    D --> E[Recommendation Generation];
    E --> E1[Utilize RAG for Context];
    E --> E2[Fetch Real-time Data yfinance];
    E1 --> E;
    E2 --> E;
    G[API/Frontend];
    E --> G;

pip install -r requirements.txt

1. Start the API server first from the project root directory

uvicorn main:app

The API server will start on http://localhost:8000

2. Start the Streamlit app from the frontend directory

streamlit run app.py

The Streamlit app will be available at http://localhost:8501

Note: Make sure to start the API server before running the Streamlit app, as the frontend depends on the API being available.

3. Use this test user or sign up for a new user

username: sprints.ai
password: f7sgnqrAbZwHezx

For detailed technical documentation about the authentication system, database structure, API endpoints, and security features, please refer to:

• Database & Authentication Documentation