MACHINE LEARNING AND ITS APPLICATION IN TEMPERATURE MONITORING

Machine Learning is going to change this present reality objects into wise virtual items, which can think like a human and performs certain set of instructions based on the given data by the sensors along with IoT (Internet of Things). This innovation is changing the Cyberspace into a completely coordinated biological system when detecting, correspondence, and control become perpetually mind boggling. IoT is the developing innovative solution to many problems which is going to change the Internet into a completely incorporated futuristic Internet. The quick development of IOT is because of the advancement in PC's, various frameworks installed on devices, and other programmable, controlled and organizing gadgets. The principal objective of this paper is real life applications of IoT based observation systems and its related fringe gadgets/gears for boundaries like temperature and force supply and so on by the incorporation of proper equipment. “BOLT” which is an integrated IOT platform, has been used to monitor the physical changes (in this case temperature) 24x7. The proposed model is a temperature monitoring prototype which monitors temperature, predicts it and also detects when the temperature exceeds the threshold value. One of the main use of this prototype is in industries, hence we could say this is a part of IIOT (industrial IOT).