Experimental Results with the Use of OpenAI with IoT Classes for Water Analysis in Rainfall

Water, being an essential resource for life and sustainable development, faces significant challenges such as scarcity due to factors such as climate change and population growth. Given this panorama, the need arises for innovative solutions to guarantee universal access to water. In this context, an Internet of Things (IoT) system has been developed in collaboration with OpenAI technology during classrooms, aimed at automatically capturing rainwater using sensors and actuators. The system proposes to optimize the management of water resources, eliminating dependence on operators and efficiently taking advantage of rainfall. The IoT system integrates various sensors to collect relevant environmental data, which is sent and stored in the cloud through Internet connections. These environmental parameters are analyzed to determine the optimal time for rainwater harvesting and to identify possible uses of the collected water. A comparison between the language models and the microcontroller data is carried out to evaluate the knowledge-based decision-making capability of artificial intelligence. As a result, a rigorous evaluation was obtained for decision making and the identification of the most appropriate OpenAI language model for this project. The rainwater harvesting system based on IoT and OpenAI technology represents a significant step and contributes towards sustainable water management, taking advantage of technological innovation to address crucial challenges in the availability of water resources.