Temperature Capstone and Humidity Monitoring using Iot with Machine Learning Algorithm

Abstract

Controlling temperature of a controlled environment is an important aspect of any workspace whether it is a commercial space or a domestic space. If temperature or humidity is either increased or decreased of any area, it becomes very difficult to be there and thus if possible, should be kept in comfortable conditions at all times. One way to do it is to monitor and control the temperature of the closed surroundings using the concepts of Machine Learning and IoT. This research’s purpose is the same to find an easy and an inexpensive way to find an alternative to it which is based on microcontroller, a Wi-Fi Module, Buzzer, few Temperature sensors and a Solderless board. The system is designed in such a way that the temperature can be monitored whether it is in the given range of temperature as prescribed by the user. We are also enabling to predict the temperature which will predict the temperature according to the temperature graph being made as by the input taken by the Temperature Sensors using Polynomial Regression Algorithm. Also, if the temperature of the enclosed area is not in the threshold range as suggested by the user, the System will automatically send a notification to user(s) via SMS, E-Mail or even through a Telegram Channel .