geospatial-mapping

Create a digital-twin style traffic visualization using only mp4 CCTV footage and its Google Maps location.

Plant adoption and community platform for environmental NGOs — connects each planted tree to someone living nearby who will care for it. Next.js, Express, Supabase/PostGIS, and a RAG botanical consultant. Currently pre-alpha; see docs/AUDIT_AND_ROADMAP.md.

BinIT is a platform that empowers communities to report and combat pollution with AI-driven analysis, geospatial mapping, and real-time insights for a sustainable future.

Uncover where and how mental health is discussed online using Python to analyze Reddit posts, map global trends, and preserve privacy.

An interactive web application that visualizes natural events occurring across the planet, such as wildfires, earthquakes, hurricanes, and volcanic eruptions.

LaTeX source and figure scripts for the article 'Python-Powered Environmental Intelligence: Computational Workflows for Soil Pollution Assessment Using ML Methods' (Lemenkova, Environ. Remediat. 2026, 1(2):6).

Interactive React-based frontend for a community-driven infrastructure reporting and prioritization platform with geospatial issue reporting, voting, and role-based dashboards.

Comprehensive Power BI report for analyzing health-related datasets, focusing on environmental impacts on mental and physical well-being

Aerial Vehicle Mapper is an AI-powered tool that detects and maps vehicles from aerial images using the Detectron2 deep learning framework. It enables geospatial mapping of detected vehicles for applications in urban planning, surveillance, disaster management, and more.

Mapped 1,000+ real-time earthquakes with Leaflet.js using USGS API. Visualized depth and magnitude using size and color-coded markers.