Analysis of Aadhaar Enrolment, Demographic and Biometric Data

🏆 UIDAI Data Hackathon 2026 | 🇮🇳 National Intelligence Platform for Aadhaar | 360° Operations, Migration & Fraud Analytics | 5M+ Records Processed | ML-Powered Forecasting & Anomaly Detection

Matplot project with Aadhar Datasets

Official repository for Team UIDAI 4732. A comprehensive data analysis solution for the UIDAI Data Hackathon 2026.

End-to-end analytical pipeline for unlocking societal trends in UIDAI datasets. Featuring a modular Python architecture, lifecycle maturity modeling, and predictive system velocity forecasting for infrastructure planning.

A data-driven audit of the UIDAI ecosystem utilizing geospatial stress modeling and temporal continuity filters to identify operational bottlenecks and service dark zones.

Predictive Gap Analysis Engine for Mandatory Biometric Updates

Research-grade analytics platform for UIDAI Aadhaar data analysis. Built for UIDAI Hackathon 2026, analyzing ~5M records to uncover enrollment trends, demographic patterns, and biometric insights across India's digital identity ecosystem. Features automated data pipelines, statistical analysis, and interactive geospatial visualizations.

USAS (UIDAI Smart Allocation System) is a unified decision-support framework designed to optimize the "Last Mile" of Aadhaar administration. By integrating Predictive Analytics, Geospatial Intelligence, and Automated Enforcement, it addresses critical inefficiencies in mobile camp allocation and fraud detection.

Analysis of Aadhaar enrolment, demographic updates, and biometric updates to uncover societal and administrative trends using data analytics.