Department of Computer Science, MIT School of Computing, MIT-ADT University, Loni Kalbhor, Pune, Maharashtra, India
International Journal of Science and Research Archive, 2025, 17(02), 591–599
Article DOI: 10.30574/ijsra.2025.17.2.3019
Received on 03 October 2025; revised on 13 November 2025; accepted on 15 November 2025
The increasing number of government welfare schemes in India has created a challenge for citizens to access accurate information and identify eligibility criteria. Many people remain unaware of the benefits they are entitled to, leading to underutilization of public welfare resources. To address this problem, we propose SPARK (System for Public Aid, Recommendation, and Knowledge), a web-based platform designed to provide citizens with easy access to government schemes and personalized recommendations.
By allowing users to input basic demographic and socio-economic details, SPARK automatically evaluates their eligibility and recommends relevant schemes. The platform employs data filtering, rule-based eligibility checks, and recommendation logic to ensure accuracy and relevance. The system ensures reliability through rule-based eligibility checks and helps users navigate government welfare opportunities more efficiently.
Keywords:
Public Aid; Recommendation System; Knowledge Management; Data Filtering; Eligibility Verification; Government Schemes.
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Gayatri B. Dhumal, Sumit A. Hirve, Atharva M. Gaikwad, Rasika P. Mahakalkar, Aditya M. Midgule and Nilesh Thorat . SPARK: A Smart System for Public Aid, Recommendation, and Knowledge Management. International Journal of Science and Research Archive, 2025, 17(02), 591–599. Article DOI: https://doi.org/10.30574/ijsra.2025.17.2.3019.
