Comprehensive evaluation of WRF model rainfall prediction skill during Super Cyclone Kyarr (2019) using GPM & TRMM datasets. Includes day-wise and threshold-wise metrics, visualizations, and automated report generation.
Summaries of research in climate, geoscience, and climate-adjacent applications of AI
Dynamic Cyclone Early Warning System using LSTM and IBTrACS dataset
An autonomous multimodal AI framework for disaster prediction, satellite flood segmentation, physics-informed validation, ensemble fusion, and adaptive monitoring across earthquake, cyclone, wildfire, and flood events.
Streamlit ML app predicting cyclone intensity from SST, wind shear, and pressure using gradient boosting. Storm-track visualisation on Folium interactive maps.
Climate-aware crop recommendation system with a reproducibility-ready public artifact, evaluation outputs, and a documented reconstruction pathway.
NVIDIA Earth-2 climate AI workspace: a structured set of exercises, notebooks, and templates for earth2studio.
AI-powered flood risk prediction for Nyando Basin, Kenya. XGBoost + SHAP + FastAPI + React. AUC-ROC 0.9717. 100% open data — Kenya DPA 2019 compliant.
Enterprise-style hybrid AI assistant combining structured climate analytics, RAG, hybrid retrieval, reranking, and conversational memory using local open-source LLMs.
Climate, Energy and Green Microbiology portfolio covering weather prediction, renewable optimization, electricity pricing, load forecasting, and sustainable transition modeling.
Physics-aware Vision Transformer for weather forecasting built from scratch in PyTorch | AI for Science
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