In today’s era of increasing Internet of Things
applications, each application/device has provided a means
to ease the lives of users one way or the other. This paper
throws light on the concepts of synergy between IoT and
Machine Learning. Fundamental objective is to develop an
application that will help bring the control of various
household devices to the user’s smartphone. The
application’s main purpose would be to understand the
context of the user and train itself to make the operation of
devices more efficient. This would also help the users to
monitor the rates at which they are utilizing power and
take necessary measures to bring it under control.
Venkatesh Lokare : Student, Department of Computer Engineering, PICT,
Savitribai Phule Pune University, Pune, Maharashtra, India
Saurabh Birari : Student, Department of Computer Engineering, PICT,
Savitribai Phule Pune University, Pune, Maharashtra, India
Mukul Dang : Student, Department of Computer Engineering, PICT,
Savitribai Phule Pune University, Pune, Maharashtra, India
Prasad Bhagwat : Student, Department of Computer Engineering, PICT,
Savitribai Phule Pune University, Pune, Maharashtra, India
Internet of Things, Machine Learning, Cloud
Thus, using the core concepts of Internet of Things and
Machine Learning in a combination results in an
effective and efficient system. The Machine Learning
concepts add intelligence to the conventional IoT
network. Advanced Machine Learning techniques like
Active learning and Adaptive learning can be used over
Support Vector Machines (SVM) for more user oriented
intelligent systems.
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