Sericulture or silkworm breeding for silk is faced with the challenges of maintaining the ideal environmental conditions, feeding patterns, and disease recognition. Manual and improper monitoring lead to compromised production and quality. This project introduces the implementation of an Augmented Reality (AR)-based real-time system for sericulture management using the intersection of IoT and AI. The system keeps tracks of temperature, humidity, and feeding patterns and presents real-time visualization of data in an interactive AR platform. An AI subsystem identifies diseased silkworms via image processing, annotates them in AR, and recommends treatment. Predictive analysis also maximizes environmental conditions and feeding patterns for maximum production effectiveness. The uniqueness of the system is its interconnection of AR, AI, and IoT that provides easy monitoring, automatic detection of diseases, and data - informed decision-making. The utilization of the system enhances the quantity of silk yield, product quality, and saves labor, and its disruptive contribution to sericulture management is evident through innovative technologies.