Water scarcity, inefficient agricultural practices, rising food waste, and unsafe drinking water represent interconnected global challenges, particularly acute in low-resource regions. This paper presents an integrated framework that combines three sustainability solutions: A Smart Irrigation System for precision water management, an AI-powered Waste Segregation System for food waste reduction in Material Recovery Facilities (MRFs), and the Xylem Clean Shield Project for black carbon monitoring and water quality protection in glacier-fed communities. Each system leverages Internet of Things (IoT), artificial intelligence (AI), and renewable energy integration to deliver context-appropriate solutions: irrigation savings of 28–32%, waste classification accuracy of 87% with a 20% increase in organic recovery, and 85% black carbon detection accuracy with 90% alert reach. Beyond these individual results, their integration provides a holistic sustainability model that addresses food–water–climate linkages simultaneously, improving efficiency, resilience, and community participation. The findings demonstrate the scalability and adaptability of affordable IoT–AI interventions for resource-constrained contexts, contributing to the United Nations Sustainable Development Goals (SDGs) 6, 11, and 12.
