https://github.com/cmilamaya/flight-dashboard-app

This project is an application that processes attached PDF documents containing flight information and extracts relevant data. The data is stored in a PostgreSQL database and visualized on a dynamic dashboard using Streamlit.
https://github.com/cmilamaya/flight-dashboard-app

pandas pdfplumber python spacy

Last synced: 9 days ago
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This project is an application that processes attached PDF documents containing flight information and extracts relevant data. The data is stored in a PostgreSQL database and visualized on a dynamic dashboard using Streamlit.

• Host: GitHub
• URL: https://github.com/cmilamaya/flight-dashboard-app
• Owner: CmilAmaya
• Created: 2024-09-06T15:30:12.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-09-09T22:11:50.000Z (4 months ago)
• Last Synced: 2024-12-18T18:12:58.060Z (9 days ago)
• Topics: pandas, pdfplumber, python, spacy
• Language: Python
• Homepage: https://flight-dashboard-app-aw6svrwzbgbf9kut9sdvc9.streamlit.app/
• Size: 2.81 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Flight Dashboard App

This project is an application that processes attached PDF documents and images containing flight information and extracts relevant data. The extracted data is stored in a PostgreSQL table hosted on AWS RDS. The application features a dynamic dashboard using Streamlit, which allows users to view and interact with the flight information and dashboards.

## Features

- **Data Extraction**: Reads and extracts flight information from both PDF documents and images.

- **Data Storage**: Stores extracted flight data in a PostgreSQL database hosted on AWS RDS.

- **Dynamic Dashboard**: Provides an interactive interface with visualizations and dashboards using Streamlit.

## Technologies Used

- Python

- Streamlit

- Pandas

- SQLAlchemy

- PostgreSQL

- PyMuPDF (fitz)

- SpaCy

- Pillow 

## Project Stucture

![Project Stucture](https://github.com/CmilAmaya/flight-dashboard-app/blob/main/png.png)

- **flight-dashboard-app/** is the root directory of the project.

- **data/** contains data files such as `Aerolineas.xlsx` and `airport_codes.json`.

- **env/** is the Python virtual environment.

- **src/** contains the source code of the project.

- **.env** is a file for environment variables.

- **README.md** is the main documentation file.

- **requirements.txt** lists the project dependencies.

## Deployment Instructions

To deploy this project locally, follow these steps:

### 1. Clone the Repository

First, clone the repository to your local machine.

### 2. Set Up the Virtual Environment

Create and activate a virtual environment for Python.

### 3. Install Dependencies

Install the project dependencies using `pip`.

### 4. Set Up Environment Variables

Create a `.env` file in the root directory of the project and add the necessary environment variables. 

### 5. Run the Database Migrations

Ensure your database is up-to-date by running the necessary migrations. In this project, you may need to run migrations using SQLAlchemy. Ensure you have the correct database setup and run.

### 6. Start the Application

Once everything is set up, you can start the Streamlit application to view the dashboards: `streamlit run src/dashboard.py`

## License

This project is licensed under the MIT License. 

## Contact

If you have any questions or suggestions, feel free to contact me via [LinkedIn](https://www.linkedin.com/in/mar%C3%ADa-camila-amaya-rodr%C3%ADguez/) or [GitHub](https://github.com/CmilAmaya).