Artificial Intelligence for Social Good: Transforming the Lives of Tribal Women Entrepreneurs

The convergence of Artificial Intelligence for Social Good (AI4SG) and the marginalized economic sectors is a boundary in the inclusive technological development. The study explores the potential of artificial intelligence to revolutionize tribal women entrepreneurs, who have to face distinct systemic barriers such as geographical isolation, language barriers, credit invisibility, etc. This work determines the usefulness of machine learning models in determining the quality of handicrafts, predictive credit ratings, and access to other markets in multiple languages using a multi-layered empirical model using secondary datasets (Kaggle) and synthetic performance metrics (state-of-the-art AI applications) (2020-2025). The analytical comparison of Convolutional Neural Networks (CNN) and Vision Transformers (ViT) to standardize the quality and evaluate the predictive power of Gradient Boosting architectures in rural micro-finance. The results indicate that AI-based interventions can raise the efficiency of operations and improve revenues by 35% and 25% in the retail and agricultural sectors. Moreover, the paper touches upon such important aspects of ethical considerations as indigenous data sovereignty and algorithmic bias and suggests a socio-technical approach to sustainable AI implementation. The results provide a policy guide of how intelligent systems can be used by policymakers and developers as agents of social equity and economic strength among tribal communities.