Smart Virtual Assistant a Broad Perspective  
  Authors : Venkatesh Lokare; Saurabh Birari; Mukul Dang; Prasad Bhagwat

 

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.

 

Published In : IJCAT Journal Volume 3, Issue 3

Date of Publication : March 2016

Pages : 115 - 119

Figures :10

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Publication Link :Smart Virtual Assistant a Broad Perspective

 

 

 

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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