Fullstack Dashboard with Python 🚀

Welcome to my interactive dashboard project! This is a demonstration of my skills in fullstack development using Python and modern technologies like FastAPI, Streamlit, and PostgreSQL. I designed this project as part of my portfolio to highlight my expertise in backend and frontend development, containerization, and database integration.

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📌 Technologies I Used

• Language: Python (3.9+).
• Backend: FastAPI - A lightweight and efficient framework for building REST APIs.
• Frontend: Streamlit - A Python library for creating interactive dashboards.
• Database: PostgreSQL - A relational database for storing and managing data.
• Containers: Docker and Docker Compose - For orchestrating the backend, frontend, and database.
• Version Control: Git and GitHub - For managing and collaborating on the project.

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⚙️ Features I Built

• Dynamic Data Entry: I created a user-friendly interface to add data to the database.
• Interactive Visualizations: I implemented dynamic charts (bar charts, line charts, etc.) using data from PostgreSQL.
• Fullstack Architecture:
  • A backend API built with FastAPI to handle data and integrations.
  • A frontend dashboard built with Streamlit for visualization and interaction.
• Scalable Design: The project is modular and ready for future enhancements.

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📂 Project Structure

dashboard_fullstack/
├── backend/                    # Backend built with FastAPI
│   ├── app/
│   │   ├── __init__.py         # Python package initializer
│   │   ├── main.py             # Entry point for the API
│   │   ├── models.py           # SQLAlchemy models
│   │   ├── database.py         # Database connection logic
│   │   ├── services.py         # Business logic for handling data
│   │   └── routers/            # Organized routes
│   │       ├── __init__.py
│   │       └── charts.py       # Endpoints for chart-related data
│   ├── Dockerfile              # Docker configuration for the backend
│   └── requirements.txt        # Backend dependencies
├── frontend/                   # Frontend built with Streamlit
│   ├── dashboard.py            # Interactive dashboard interface
│   ├── Dockerfile              # Docker configuration for the frontend
│   └── requirements.txt        # Frontend dependencies
├── docker-compose.yml          # Container orchestration with Docker Compose
└── README.md                   # Project documentation