Found 279 repositories(showing 30)
Akshay-gurav-31
No description available
No description available
AGAMDAYAL2424
No description available
Matplot project with Aadhar Datasets
prasidhinandwani
No description available
TyphoonCoder2007
🏆 UIDAI Data Hackathon 2026 | Advanced Analytics Pipeline for Aadhaar Enrollment & Update Data | 5M+ Records | ML-Powered Forecasting | 11 Visualizations
apooorv19
Official repository for Team UIDAI 4732. A comprehensive data analysis solution for the UIDAI Data Hackathon 2026.
ashutoshjoshi23
UIDAI Hackathon 2026
KaushikDutta7
UIDAI Data Hackathon 2026
Shravanraut2005
Predictive Aadhaar Operational Strategy portal using Python, Streamlit, and Plotly. Features include Maintenance Burden Ratio (MBR) analysis, temporal trend forecasting, and anomaly intelligence for national resource optimization.
itsmeprabha75
Hackathon project for UIDAI Data Hackathon 2026 analysing Aadhaar enrolment, demographic updates and biometric update trends using Python,PowerBI
kvinitkarmkar
No description available
aditya-sharma-hub
Governance-ready risk analytics platform for UIDAI Aadhaar enrolment & update data using anomaly detection, composite risk scoring, and PCA-based district segmentation.
harsh6131
No description available
aatifamugheer
This repository contains a project developed for the UIDAI Aadhaar Hackathon, showcasing a secure, privacy-first digital identity solution. It demonstrates Aadhaar-based authentication concepts using mock data, consent-driven access, and scalable architecture aligned with UIDAI guidelines.
Itsme-Aneek
No description available
ansh-jyo
No description available
Pranaykarvi
UIDAI has provided anonymized datasets of Aadhaar enrolment and updates. The challenge is to identify meaningful patterns, trends, anomalies, or predictive indicators that can support informed decision-making and system improvements, our team id is UIDAI_2601
Devguru-codes
No description available
KeerthanaUnni12
Policy-Oriented Analysis of Aadhaar Enrolment and Update Trends in India
Ankush703-web
UIDAI anonymised datasets of Aadhaar enrolment and updates, to identify meaningful patterns, trends, anomalies, or predictive indicators and translate them into clear insights or solution frameworks that can support informed decision-making and system improvements.
My submission to UIDAI National Data Hackathon 2026: EDA notebooks, report, and visualizations analyzing youth representation in Aadhaar updates.
HamsaVardhiniM
This project presents a comprehensive, state-level risk diagnostics framework for the Aadhaar ecosystem, integrating enrolment inclusion risks, demographic and biometric update volatility, and PAN–Aadhaar linkage gaps.
Jeevang1-epic
No description available
Shaurya-Dayanand-Desai
"Proposal & Analysis for UIDAI Data Hackathon 2026 – Enrolment Trends, Anomalies & Forecasting"
manasvvy
UIDAI Data Hackathon 2026 - Governance-first analytics using Aadhaar enrolment data
Shahnawaz119
AI-driven Aadhaar Enrollment Intelligence Platform for UIDAI Data Hackathon 2026
priti-codes123
Data analysis project for UIDAI Data Hackathon 2026 focusing on Aadhaar enrolment and update trends.
khushijaiswal07
This repository contains a PDF dashboard project developed during my participation in the UIDAI Hackathon 2026, showcasing data analysis and visualization of UIDAI-related insights.
A predictive AI system to prevent biometric service exclusion by analyzing metadata trends. Built for UIDAI Data Hackathon 2026.