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.
python machine-learning natural-language-processing analytics agriculture jupyter-notebook eda data-visualization data-analysis rainfall tableau predictive-modeling gradio time-series-analysis agroinformatics agritech crop-production interactive-dashboard rainfall-analysis crop-yield-analysis
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Updated
Nov 14, 2025 - Jupyter Notebook