Source Code Repository of "Identification of Criminal Activity Hotspots using Machine Learning to aid in Effective Utilization of Police Patrolling in Cities with High Crime Rates" presented at CSITSS-2019 in RVCE, Bengaluru, Karnataka, India.
⚖️ An analytical framework for LAPD crime hotspot mapping with a focus on algorithmic fairness. This project identifies high-crime areas while rigorously auditing predictive models for bias, ensuring that resource allocation is driven by data without compromising social equity. 🚔📊
Greg and Jason's senior project repo.
A Data-Driven Approach Using Socioeconomic and Spatial Crime Analysis
This category delves into the world of criminal activity and justice analytics, using data to uncover hidden patterns and trends in areas such as drug trafficking, money laundering, fraud, cybercrime, and human trafficking.
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.
This is the GitHub repository for the preprint https://arxiv.org/pdf/2502.07111.
This is the Github repository for the preprint https://arxiv.org/abs/2505.19612
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