AI based Weather Monitoring System
Kalpana Murugan, Ravi Kiran Tiruveedhi, Dinesh Reddy Ramireddygari, Deepika Thota, Chandralekha Neeli
Abstract
Weather monitoring is generally a statistical measure or analytical measure rather than a binary decision. Weather monitoring is necessary for the development and growth of industries like agricultural, industrial and logistics. For weather monitoring, an intelligent prediction is to be done, could be done through Artificial intelligence. Artificial Intelligence is on the boon in many fields. The AI techniques are inevitable, making sense of the rapidly developing data deluge and response to the challenging recent demands in Weather Forecasting and Weather Monitoring. Machine Learning and Deep Learning are the branches of Artificial intelligence, a spellbinding technique for analyzing and predicting the provided data set. In this paper, a unique, simplified and most economical weather monitoring system is proposed through image classification techniques. In the proposed system, Internet of Things (IoT) and AI are automations used for developing model. The proposed system is to detect the weather condition using teachable machine platform to integrate the system of ESP32 camera module. That the module to detect the camera images and delivered to the virtual display of blynk application to display the output.