CAMS UI, schema, install & JS files

📝 Projects & News

PRESKO, developed by our team KlimaTech, was our official entry to the Philippine Junior Data Science Competition (PJDSC) 2025, hosted by the UP Data Science Society. The project successfully qualified as one of the Top 10 Finalists out of 40 participating teams.

A standardized temporal-spatial identifier framework for urban context analysis with H3 indexing, multi-dimensional scoring, and ML-based quality assessment.

Unity prototype for an augmented reality resilience planner, using Oculus XR Plugin and the XR Interaction Toolkit as a starting point.

CMDDS for PAPO‑Heatwaves: a policy‑aware, opportunity‑oriented simulation specification. Fork to model heat response in your city.

ClimateReady is a mobile-first climate resilience companion. The Expo and React Native app equip households and communities with personalized preparedness guidance, SOS coordination, safe zones, and practical learning tools.

Smart emergency lighting + Wi-Fi backup system for climate-related blackouts. Personal-use only.

Privacy-preserving AI for global agriculture. Enables policy-gated federated learning for sustainable yields and climate resilience while maintaining full farmer data sovereignty.

Open knowledge base for the Research Rundown newsletter — curated reports, tools, and companion materials for development researchers and practitioners. Part of OpenStacks.

The Heatwaves Data Collaborative enables teams across sectors and organizations to simultaneously focus on their areas of expertise

🛠️ Prototype for Hack Revolution 2025. PS: AI-Powered Crop Yield Prediction & Optimization. Apex Harvest — A web-based AI platform that empowers farmers with data-driven crop yield predictions & personalized optimization tips, without requiring IoT devices or expensive hardware. 🌾

Scaffold AI: Curriculum Recommendation Tool for Sustainability and Climate Resilience

SPARC is a physics-constrained spatial machine-learning pipeline that trains an ensemble of geographically-weighted models, validates causal relationships via directed acyclic graphs (DAGs), and simulates "what-if" intervention scenarios with built-in uncertainty quantification. It is designed to be domain-agnostic.

Landslide Damage Analysis in Idukki & Wayanad – A geospatial study using Google Earth Engine, Sentinel-1 SAR, Sentinel-2, and DEM data to map landslide-affected areas, detect land cover changes, and quantify terrain damage percentages in Kerala’s most landslide-prone districts.

Framework d'ingénierie open-source pour infrastructures régénératives. Fusion de la physique de la matière molle, de la frustration géométrique et de l'agronomie pour créer des systèmes à bilan écologique positif

AI-Powered Climate Vulnerability Assessment for Transportation Infrastructure using Google's Satellite Embeddings

Visualises how ready and how vulnerable economies are to projected climate impacts.

An AI-agent generated GIS dashboard prototype. Built via the Stitch-to-Antigravity MCP bridge to explore rapid prototyping for Climate Resilience and Flood Susceptibility visualization.

Portfolio Theory for Climate-Resilient Farming in Myanmar | Markowitz optimization + Monte Carlo simulation for crop diversification | FastAPI + React + D3.js | AI for Agriculture Hackathon 2026