AI-Based Prediction of Beneficiary Eligibility for Government Welfare Schemes
DOI:
https://doi.org/10.15662/IJEETR.2026.0802043Keywords:
Artificial Intelligence, Machine Learning, Government Welfare Schemes, Eligibility Prediction, Rural DevelopmentAbstract
Government welfare programs are of great use in making people's lives better, especially in rural areas. However, it is not always easy to find the right people who need government welfare programs, especially since the process requires manual intervention, incomplete information, and lack of knowledge among people. The project proposed here is related to finding out whether people are eligible for government welfare programs or not by using an AI-based system. The system will use machine learning to find out whether a person is eligible for a specific program by asking for attributes such as income level, family background, etc. This model will help find out whether a person is eligible for a specific program by processing all the information automatically. Machine learning will help eliminate errors made by people, provide accuracy, and ensure fair distribution of government benefits among people. The system proposed here is simple and easy to use, so it will also help people in rural areas who do not know much about technology
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