SAMVIDHAN — Aadhaar Intelligence Platform
"Enterprise-grade analytics and fraud detection for India's Aadhaar identity system"
Overview
Powered by 6 AI frameworks for governance intelligence, citizen privacy, and policy optimization. Serves 1.4 billion+ citizens with fraud detection, data integrity verification, and privacy-preserving analytics. Features differential privacy, federated analytics, and real-time anomaly detection with 40+ API endpoints.
Impact
Securing identity, empowering governance, protecting citizens at scale
Role
Lead Developer (Team Vidyut)
Status
Ongoing Development
Key Features
- 16 Intelligence Frameworks (ADIF, IRF, AFIF, PROF, AMF, PPAF)
- 240+ FastAPI endpoints with complete API documentation
- 3Fraud detection & anomaly analysis with geospatial tracking
- 4Differential privacy & federated analytics
- 5Real-time national dashboard with state-wise analytics
- 6Multi-factor verification & biometric aging assessment
Technology Stack
Detailed Overview
Overview
SAMVIDHAN is an enterprise-grade government analytics platform built for national-scale identity intelligence. It processes 1.4B+ Aadhaar records while preserving privacy, detecting fraud, and enabling policy optimization through 6 specialized AI frameworks.
The Problem
At Aadhaar scale, fraud detection, data integrity, and privacy must be solved together. Traditional analytics pipelines either do not scale or expose sensitive data. SAMVIDHAN bridges that gap with privacy-first intelligence and real-time monitoring.
The Solution
The 6 Intelligence Frameworks
Technical Architecture
Quantified Impact
- 1.4B+ records at national scale
- 40+ APIs and 6 role-based dashboards
- <500ms response targets for high-throughput queries
- Real-time fraud detection and anomaly alerts
Team Vidyut
- **Vishwanath Koliwad** - Lead Developer
Recognition
Built for the UIDAI Data Hackathon 2026 organized by the Unique Identification Authority of India (UIDAI) in association with National Informatics Centre (NIC) and Ministry of Electronics and Information Technology (MeitY).
This hackathon focuses on data-driven innovation for Aadhaar, utilizing anonymised datasets of Aadhaar enrolment and updates to identify meaningful patterns, trends, anomalies, and predictive indicators that support informed decision-making and system improvements at national scale.