International Journal of Advanced Research in Computer and Communication Engineering

Abstract: The increasing number and scale of government welfare schemes have created a strong need for effective systems that can analyze scheme performance and improve transparency. One of the major challenges faced by administrators and policymakers is the lack of a centralized mechanism to monitor beneficiary coverage, financial utilization, and overall scheme impact. Traditional methods rely on manual reports and fragmented data sources, which often result in delayed insights and inefficient decision-making.
The Government Scheme Analysis and Tracker is developed to address these challenges by providing an intelligent and automated platform for analyzing welfare schemes. It is a web-based application that processes scheme-related data to evaluate beneficiary trends, expenditure patterns, and district-wise and state-wise performance. By using analytical and forecasting techniques, the system enables users to understand how schemes are performing and identify areas that require improvement without relying on manual analysis.
The system is implemented using React.js for the frontend interface, FastAPI for backend processing, MongoDB for data storage, and Python-based analytics and AI models for data analysis and forecasting. The project demonstrates effective integration of modern web technologies and artificial intelligence to support data-driven governance. The Government Scheme Analysis and Tracker aims to enhance transparency, support informed policy decisions, and improve the overall effectiveness of government welfare programs

Downloads: | DOI: 10.17148/IJARCCE.2026.151105