Dive Site Location Enrichment

This project solves a classic data enrichment problem: turning raw GPS coordinates into meaningful location data. I built a Python pipeline that takes a CSV of scuba diving sites (latitude/longitude) and enriches it with country and region metadata using the Nominatim geocoding service (OpenStreetMap).

Key features of the system:

• Automatic reverse geocoding: GPS → country + region.

• Smart skipping: if a row already has country/region, it avoids unnecessary lookups.

• Error handling: gracefully handles timeouts or missing data.

• API safety: respects free API rate limits by adding timed delays.

• Full integration: outputs a clean, enriched CSV (divesites_enriched.csv) ready for further processing or database import.

This project demonstrates how geospatial data can be enhanced with contextual metadata, making raw coordinates human-readable, searchable, and usable for downstream applications like travel platforms, mapping dashboards, or AI-driven content pipelines.