AI-ENHANCED E-LEARNING FOR RELIGIOUS LEADERS: A FRAMEWORK FOR SUSTAINABLE AGRICULTURAL EMPOWERMENT AND ECONOMIC RESILIENCE IN RURAL BANGLADESH

This study investigates the transformative potential of AI-enhanced e-learning platforms in empowering religious leaders, such as Imams and Muazzins, to drive sustainable agricultural practices in rural Bangladesh. By integrating artificial intelligence-driven tools with digital education, the research equips these community influencers with essential agricultural knowledge, digital literacy, and entrepreneurial skills, enabling them to mentor small-scale farmers in areas like pisciculture, poultry farming, and crop cultivation. The proposed framework addresses key challenges in rural economies, including low productivity, limited market access, and vulnerability to climate variability, while fostering economic resilience and reducing poverty through optimized resource management and direct market linkages. Drawing on mixed-methods analysis, including surveys, interviews, and pilot case studies, the model highlights how AI applications—such as predictive analytics for weather forecasting, pest detection via image recognition, and yield optimization—can enhance farming efficiency by 15–30%, as evidenced by recent initiatives in South Asia. Barriers like inadequate infrastructure, digital divides, and cultural resistance are mitigated through partnerships with NGOs, government bodies, and tech firms, alongside culturally aligned content rooted in Islamic principles of stewardship. The findings underscore the role of religious leaders as catalysts for technological adoption, bridging traditional communities with modern innovations to promote socio-economic equity and long-term sustainability in Bangladesh's agricultural sector.