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Real-time women's safety intelligence platform for Indian cities. Interactive heatmap visualization of crime hotspots, risk-scored zones, police station tracking, riot/protest monitoring, and emergency SOS tools.
Conversational + predictive crime intelligence on Zoho Catalyst: ask 1M+ FIRs in English or Kannada and see the query and rows behind every answer. All-India NCRB-calibrated corpus (640 districts), forecasting validated on 6.37M real incidents, and a trilingual WhatsApp channel for field officers.
AI-powered crime intelligence platform. Provides FIR analytics, crime hotspot mapping, predictive intelligence, criminal network analysis, repeat offender detection and an AI investigation assistant using real Karnataka FIR datasets.
Multi-module ML platform for urban crime analytics XGBoost classification, NLP incident categorisation, K-Means hotspot detection, and Prophet forecasting on the Chicago Crimes dataset.
🚔 Serverless data lakehouse on AWS analyzing 100K+ Chicago crimes with Apache Iceberg, Lake Formation governance, and sub-second Athena queries for $6/month
Contractor Training Platform: A comprehensive, production-grade tutorial system designed to onboard contractors to the FBI's official Crime Data Explorer interface. Built with enterprise-level architecture and authentic government styling for professional law enforcement training.
A Zoho Catalyst-powered Crime Analytics platform featuring React GIS spatiotemporal mapping, D3 criminal network link analysis, and a simulated Zia conversational AI assistant.
Next-Gen Law Enforcement Intelligence & Spatial Analytics Platform. Features PostGIS hotspot mapping, multi-hub criminal link analysis, tier-based RBAC with PII protection, and an AI-powered query assistant.
🛡️ CrimeMind AI — Futuristic AI-powered Crime Analytics & Investigation Copilot for police departments. Built with Leaflet.js, D3.js, Chart.js. Dark glassmorphism UI.
Global crime analytics across 7 countries (2010–2026) — star schema design, ~950K row SQL cleaning pipeline, Python EDA with 21 visuals, and a 5-page dark-themed Power BI dashboard with 15 validated KPIs.
Exploratory Data Analysis of district-wise IPC crime records in India (2001–2012) using Python, statistical analysis, feature engineering, dimensionality reduction, and hypothesis testing.
Visual comparisons of crime data for Seattle and San Francisco, with an emphasis on crimes associated with drugs. Implemented in R. Links to rendered HTMLs in README.md.
SafeCity PK is a DB-first full-stack civic-tech prototype that allows citizens to submit public safety reports, enables admins to verify or reject reports, and helps analysts visualize crime trends, hotspots, and risk patterns through dashboards and a database-powered map.
AI-powered crime intelligence and response analytics platform with a command-center dashboard, GIS visualization, evidence-grounded AI assistant, incident analytics, reporting workflows, and secure full-stack architecture.