Sheeba Naaz [Guide]Ansari, Ahmed Hasan [23DEE03]Shaikh, Anas [23DEE21]Shaikh, Tarannum [23DEE25]2026-09-032026-09-032026-06http://aiktc.ndl.gov.in/handle/123456789/4620This report presents the design and architecture of a low-cost Internet of Things (IoT)- based solar health monitoring system with the help of edge computing. The main objective of this work is to develop alternative and low cost and highly reliable monitoring systems. It uses esp32 as a sub microcontroller whose primary task is to acquire data from different sensors and broadcast it over bluetooth or wifi. It uses a multi node method to gather all the sensitive data from all over the plant. In addition, it maintains its real time data acquisition with making the communication payload as light weight as possible for live monitoring. At same time there is a central unit that collects all all data of these sensors by using raspberry pi which act as an edge gateway for local processing, storage, and cloud synchronization of all key parameters such as voltage, current, temperature, humidity, and directional light intensity collected from distributed nodes of the plant. Unlike conventional monitoring where all data of sensors first gather to centralize controllers for data acquiring and processing which might lead to loss or change of actual data because of transmission. This allows the system to estimate photovoltaic panel, battery performance and health as accurately as possible by doing some mathematical calculation. The architecture is mainly to emphasize scalability, low power consumption, and suitability for decentralized renewable energy monitoring applications. Key point : Keywords: edge computing, internet of things, photovoltaic monitoring, solar health monitoring.en-USProject Report