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CrimeIntel — AI-driven crime analytics and decision-support platform for the Karnataka Police, providing GIS-based intelligence, hotspot detection, risk scoring, forecasting, district & station analytics, and secure role-based dashboards.
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.
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.
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.
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.
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.
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.
🚔 Serverless data lakehouse on AWS analyzing 100K+ Chicago crimes with Apache Iceberg, Lake Formation governance, and sub-second Athena queries for $6/month
AI-driven crime analytics for the Karnataka State Police — 59,985 siloed FIRs joined into one explainable link graph, with entity resolution, 8 benchmarked ML models, forecasting, evidence OCR and a grounded bilingual (EN/ಕನ್ನಡ) assistant. Built on Zoho Catalyst. KSP Datathon 2026.
Crime analytics dashboard for the KSP Datathon 2026, Challenge 02, over a synthetic 11,977-FIR dataset: live filters, seasonal-naive 6-month forecast, day-by-hour heatmap, district hotspots and rule-based patrol insights. Vanilla JS and SVG.
Plain-English Q&A over a synthetic 11,977-FIR crime dataset for the KSP Datathon 2026, Challenge 01: rule-based entity and intent parsing, with every count, trend and ranking computed from the records, not generated. Vanilla JS, no dependencies.
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.
Grounded, evidence-cited crime-intelligence assistant over synthetic CCTNS-aligned records — every fact cites the FIR behind it, and it abstains when the records do not support an answer.
AI-driven crime intelligence platform for Karnataka State Police. 433K records across 27 tables, 30 districts, 240 stations. Interactive 3D crime map, network graph, AI insights (English + Kannada), predictions, and risk scoring. Built on Zoho Catalyst with GLM-4.7-Flash LLM.
🛡️ CrimeMind AI — Futuristic AI-powered Crime Analytics & Investigation Copilot for police departments. Built with Leaflet.js, D3.js, Chart.js. Dark glassmorphism UI.