[Gsoc-orga] GSoC 2025 Project Ideal: Urbanalyse - Urban Data Analysis & Visualization Tool for OpenStreetMap

[Gautham Mohanraj]

I hope this email finds you well. My name is Gautham Mohanraj, and I'm
interested in contributing to OpenStreetMap through Google Summer of Code
2025. I'd like to propose a custom project idea that I believe would be
valuable to the OSM ecosystem.
Project Idea: Urban Data Analysis & Visualization using OpenStreetMapSummary

Urban planning and analysis require accurate geospatial insights. This
project aims to develop a data visualization and analysis tool that
integrates OpenStreetMap data to provide insights on urban trends, traffic
patterns, population density, and infrastructure usage. The tool will allow
city planners, researchers, and developers to make data-driven decisions
using OSM datasets.

The system will:

   - Fetch OSM data (roads, buildings, traffic, POIs, etc.)
   - Provide interactive visualizations (heatmaps, graphs, and overlays)
   - Allow filtering and comparison of different urban zones
   - Possibly integrate AI/ML models for predictive urban insights

Mandatory Skills

   - Python (Data Analysis & Backend)
   - JavaScript (Frontend & Data Visualization)
   - Working with APIs (OSM API, Overpass API)

Useful Skills

   - GIS tools (GeoPandas, QGIS, Leaflet.js, Mapbox)
   - Data science and visualization (Matplotlib, D3.js)
   - Cloud deployment (AWS/GCP)

Length

350 hours
Difficulty

Medium
Possible Mentors

I don't currently have mentors for this project and would greatly
appreciate your guidance in finding appropriate mentors from the OSM
community who specialize in data analysis, visualization, or urban planning
applications.
Notes

   - The project will align with OSM's mission by improving the
   accessibility and usability of urban data
   - It will be open-source and can be integrated into OSM-based
   applications
   - A proof-of-concept using sample OSM data will be created before the
   full implementation

I believe this project could provide significant value to urban planners,
researchers, and the broader OSM community by making geospatial data more
actionable and insights more accessible. I have experience with Python,
JavaScript, and data visualization, and I'm excited about the opportunity
to contribute to OpenStreetMap through this project.

I would appreciate your feedback on this idea and any guidance you can
provide regarding potential mentors or modifications to make the project
more suitable for GSoC 2025. I'm happy to provide additional details or
adjust the scope based on your recommendations.

Thank you for your time and consideration. I look forward to hearing from
you.

Best regards,

Gautham Mohanraj

Github <https://github.com/angrezichatterbox>
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