Repository for the software concerning Test Area Analysis in the frame of the SmartCommUnity project.
tanalyzer is a software tool designed to analyze test areas using OpenStreetMap (OSM) data. It helps assess the availability of amenities and smart entities in a given location, providing insights into digitalization, smartness, and rural development. The tool integrates data visualization through interactive maps and leverages AI-powered analysis to generate recommendations.
- Fetch and visualize amenities around a given latitude/longitude.
- Count and categorize different types of amenities.
- Retrieve smart entities based on custom OSM tags.
- Add markers to an interactive map using Folium.
- Construct AI-driven insights based on selected entities.
- Provide an interactive interface using Streamlit.
- Clone the repository:
git clone https://github.com/your-repository/tanalyzer.git cd tanalyzer - Install the required dependencies:
pip install -r requirements.txt
- Run the application:
streamlit run app.py
- Open the web application and select a test area.
- Choose a category of interest (e.g., Smart Economy, Smart Mobility).
- Retrieve and visualize amenities or entities on the map.
- Use the AI Assistant to analyze and generate insights.
- Download the analysis results as a text file.
- Python (Backend processing)
- Streamlit (UI framework)
- OSMnx (Fetching geospatial data from OpenStreetMap)
- Folium (Mapping and visualization)
- Pandas (Data handling)
- Requests (API interactions for AI analysis)
For further reading, refer to our recent publications:
@article{martinez2025overview,
title={An overview of civic engagement tools for rural communities},
author={Martinez-Gil, Jorge and Pichler, Mario and Lechat, Noemi and Lentini, Gianluca and Cvar, Nina and Trilar, Jure and Bucchiarone, Antonio and Marconi, Annapaola},
journal={Open Research Europe},
volume={4},
number={195},
pages={195},
year={2025},
publisher={F1000 Research Limited}
}
This project is licensed under the MIT License.