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@article{193626,
        author = {Pavithra K and Shanmugapriya S and Varsha M},
        title = {A Data-Driven Machine Learning Approach to Public Welfare Scheme Recommendation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {935-939},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193626},
        abstract = {The government provides numerous public welfare schemes that are meant for helping citizens with healthcare facilities, education, jobs, financial support, and social security benefits. However, despite having such facilities available, many people are still not able to access them because they are not aware of how and where they can find information on such schemes and how such schemes are relevant to them. This is because such schemes are not being utilized to their maximum potential.
This article suggests a data-driven approach using machine learning techniques for providing suggestions on relevant public welfare schemes available for citizens based on their socioeconomic status. The information is collected through a web interface by providing relevant information such as age, gender, state, category, income, and occupation. The information is then preprocessed and fed into the Random Forest algorithm for determining eligibility and providing relevant suggestions on schemes available for citizens.
This approach will help in making it easier for citizens to find information on schemes and will also help in raising awareness of government schemes available for citizens. This will reduce the complexity of finding information and will also be helpful in making it easier for citizens to access such schemes and become aware of them.
This will also be helpful in making it easier for citizens to access such schemes and become aware of them.},
        keywords = {Public Welfare Schemes, Machine Learning, Random Forest, Recommendation System, Eligibility Prediction, Digital Governance, Social Welfare Accessibility.},
        month = {March},
        }