Law enforcement authorities manage high-volume, multivariable incident records across police stations, creating operational delays in detecting rapid localized hotspots and aligning patrol deployments.

Engineered an AI-powered intelligence platform integrating dynamic geospatial crime maps, officer performance metrics, and predictive crime forecasting with bilingual (Kannada/English) executive reporting.

Explored nationwide accident records to isolate high-fatality accident types, evaluate severity distributions across diverse weather conditions, and identify temporal clustering.

Synthesized complex multivariable safety data into intuitive interactive visual layouts, pinpointing critical risk timeframes and geographic accident clusters to inform preventive highway safety strategies.