Power BI Dashboard analyzing rainfall impact on agricultural productivity in India (1966-2017)
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.
Reproducible hydrology analytics pipeline for rainfall aggregation, QA/QC, IDF curves, runoff modeling, and decision-ready reporting.
See reports of amount of rainfall measured at a station by month.
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).
Exploratory data analysis of historical rainfall patterns in India to uncover trends and generate insights relevant to agriculture.
Rainfall Pattern Analysis using Simulated Annealing Enhanced Fuzzy C-Means Clustering with Davies-Bouldin, Silhouette and Xie-Beni validation metrics.
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.
Tableau-Rainfall-Analysis-Dashboard
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