This repository contains the complete work submitted for the UIDAI Data Hackathon 2026. The project focuses on leveraging data-driven techniques to analyze, interpret, and derive meaningful insights from UIDAI-related datasets, aligned with the problem statements released for the hackathon.
The solution emphasizes data integrity, analytical rigor, and practical applicability, while adhering to ethical data usage principles.