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climate-resilience

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sustainable-heat

Predicting which ZIP codes will see elevated heat illness during an approaching extreme heat event so cities can deploy cooling resources before people need to be hospitalized. XGBoost supervised classification. Seeking public health and climate equity partners

  • Updated Jun 1, 2026
  • Jupyter Notebook

This project supports urban heatwave risk assessment in Filipino cities by developing geospatial data products on heat vulnerability, air quality, and mobility impacts. It provides evidence and tools for Local Government Units (LGUs) to integrate heat risk into land use planning and climate resilience frameworks.

  • Updated Jun 5, 2024
  • Jupyter Notebook

🛠️ 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. 🌾

  • Updated Jan 30, 2026
  • TypeScript

This project analyzes heatwave vulnerability and air quality in Kerala, India, using geospatial and environmental data. It examines land surface temperature, air pollution, and climate risk indicators in Kochi and Thiruvananthapuram to support evidence-based climate resilience planning for local governments.

  • Updated Jun 1, 2026
  • Jupyter Notebook

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.

  • Updated Jun 12, 2026
  • Python

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