IEEE-WIE Student Branch

Two days national level workshop on "Cloud based Machine learning for IoT devices"
Author : IEEE-WIE Student Branch
Date : 01.10.2019

 

Two days National workshop on "Cloud based Machine Learning for IoT devices" on 30.09.2019 to 01.10.2019

 

 The JIT IEEE Student Branch (STB09251) in association with the Department of Electronics and Communication Engineering, Jansons Institute of Technology organized Two days hands-on workshop “Cloud based Machine Learning for IoT Devices” on 30 th September and October 1 st 2019 for external participants of about 79 Students and 3 Faculties from various colleges are participated. The above workshop was financially supported by IEEE Madras section organized by Dr.G.Vetrichelvi, Advisor JIT IEEE WIE (AG) Professor and Head / Department of ECE, faculty coordinator Prof.G.Myilsamy AP/ECE. The sessions started by 9:30 am at Computer Centre - 01 Laboratory, Jansons Institute of Technology (JIT) Coimbatore.  

The workshop starts session with the Impact of IoT in real world, importance of cloud platform and state of the art Machine learning models. The Hands-on Training made students to understand Python programming data types, control flows, file exceptions and Error handling. Hands-on Raspberry pi-3 boards made students do real time experiments like LED blinking, buzzer connection with various clock cycles. The students learned how to interface ultrasonic sensor to overcome intrusion of any objects. Raspberry pi interfacing helps students to know more about designing of real time complex systems in an embedded background.

The participants learned how to program IoT applications with various functions like Numpy, pandas and Matplotlib in controlling objects. The Hands-on sessions includes participants to overcome issues in machine learning by implementing KNN algorithm with Real sensor data. Finally participants had done hands-on training in connecting IoT devices with Google cloud to manage real time sensor data’s. The Session ended with positive response from participants.