Published Paper Details:

Access to government welfare schemes is often hindered by a lack of awareness, complex eligibility criteria, and limited digital access, especially among marginalized communities. This project presents a user-friendly, intelligent software solution designed to bridge the gap between citizens and welfare schemes. The system maps relevant government schemes to beneficiaries based on socio-economic parameters such as income, education, and occupation.Utilizing a rule-based machine learning model, the system analyzes user data to recommend the most suitable schemes in real-time. The platform includes secure role-based authentication, allowing both users and administrators to interact with the system efficiently. Citizens can register, view eligible schemes, and submit grievances, while administrators can manage scheme data and respond to complaints through a dedicated dashboard.The solution ensures a citizen-centric design with a focus on accessibility, transparency, and accountability. By streamlining scheme access and grievance redressal, the project aims to improve the effectiveness of government welfare distribution and empower users with timely, personalized support.