Date of Publication :25th February 2025

Abstract: In order to help the impoverished survive, the government uses public funds. Every government establishes criteria to determine eligibility, such as income, age, gender, and so on. These criteria aid in determining which citizens are qualified for which programs. Try to formulate a hypothesis in this study paper so that decisions can be made quickly using machine learning algorithms. The fundamentals of neural networks are presented in this study along with how they can be used to forecast a person's eligibility for social welfare programs like old age pensions. This paper's primary goal isto use neural networks to forecast a citizen's eligibility for old age pensions or. The main objective of this paper isto utilize neural networks to predict whether a citizen is eligible for old age pensions or other beneficiary schemes. Automating this process can save the government time, manpower, and resources.

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