<p>The concept of SHGs for poverty alleviation is crucial for the nation’s upliftment. Various approaches to measuring its progress have been explored over the past centuries. This work focuses on understanding the potential relationships between women’s happiness resulting from SHG membership in the use of select self-help group finance functions. In the Artificial Neural Network model, the independent variables/inputs were the financial functions of the groups, and the dependent variables/outputs were the happiness levels of the self-help groups. SPSS software was used to analyze the results of happiness deriving from the membership of self-help groups, and the order of independent variables by using the Kruskal-Wallis’s test. 500 respondents representing their views on the activities from different self-help groups participated in the study. The occupation was found to dominate among other variables, followed by the respondent’s education, and was therefore named as the most important predictor of happiness. The outcome of the ranking of independent variables showed that there are no significant differences in the happiness of women SHG members among the selected finance activities related to SHG. Grounded in Sen’s Capability Approach (2017), Kabeer’s Empowerment Framework (2003), and Diener’s Subjective Well-being Theory (2000), this study integrates economic and psychological perspectives to explain how SHG financial functions contribute to women’s empowerment and happiness. The findings reveal that occupational engagement and participatory financial roles have a stronger influence on subjective well-being than direct financial outcomes.</p>