Machine Learning based Monsoon Forecasting and Drought Risk Assessment system using Indian climate data, Random Forest classification, state-wise rainfall analytics, and interactive Streamlit visualization.
See reports of amount of rainfall measured at a station by month.
Reproducible hydrology analytics pipeline for rainfall aggregation, QA/QC, IDF curves, runoff modeling, and decision-ready reporting.
Power BI Dashboard analyzing rainfall impact on agricultural productivity in India (1966-2017)
The local rainfall data is not consistently accessible, so I've been using CHIRPS data. But, I'm sick of calculating rainfall manually, so I made this one. Only works with CHIRPS rainfall data (for now).
An interactive Q&A system that extracts actionable insights from agricultural data (1997–2014). It combines efficient EDA, a rule-based query engine, and a Gradio interface to answer questions on crop yields, rainfall, and production. Built in Jupyter Notebook with a modular, extensible pipeline.
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