CropSync is a smart agriculture system that uses AI and IoT technologies to enable sustain- able crop management and precision farming. The system aims to address the challenges faced by the agriculture sector, such as increasing food production to meet global population demands while minimizing environmental impact. CropSync integrates sensors, cameras, and cloud-based analytics to provide farmers with real-time insights and recommendations for optimizing crop cul- tivation. The system upholds engineering professional and ethical standards, considering broader social, environmental, and economic implications. From a social perspective, CropSync improves food security and enhances farmers’ livelihoods through increased productivity and efficient re- source utilization. The environmental impact is mitigated through sustainable farming practices that reduce water consumption, minimize chemical fertilizer use, and optimize agricultural inputs. Economically, CropSync helps farmers make informed decisions, reduce operational costs, and increase profitability, contributing to the overall viability and resilience of the agricultural sec- tor. The project report details the technical aspects of the CropSync system, including hardware and software components, AI-powered crop recommendation and disease detection models, and a user-friendly mobile application. This paper delves into the AI model development aspect of Cropsync.