Invited for split workshop on Cloud and IoT - KLE Dr Sheshagiri College of Engineering, Belgaum

Hearty thanks to organizers at KLE Dr. M S Sheshagiri College of Engineering  for inviting Prof. Govind G N and myself for a hands-on workshop on IoT with Cloud for MCA, M.Tech and 8th sem BE CSE students. The workshop is split into 2 Tuesdays on 21st & 28th March Tuesday, 2017. 

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Click here for PPTs on Cloud Computing

On 21st March, 2017 i.e Day-1 the session began with a general introduction to Cloud Computing. Then the participants developed a simple calculator using HTML with PHP Script on Codenvy (Cloud IDE) and deployed on Google App Engine using Google Cloud Console followed by demonstration of various possible cloud applications and final year projects. Participants got convinced of the need to deploy their mini/major projects on cloud which can be on Google / IBM / Microsoft clouds. 

Hands-on workshop at MCA Dept Lab,  KLESCE, Belgaum (above)

Post lunch sessions began with an introduction to Internet of Things and discussions on applications of IoT for Sports using Intel curie. Then the participants tried hands-on Arduino UNO micro-controller and performed various experiments using LEDs & LM35. Demonstration of LM35 temperature sensor controlled real fan using relay switches was shown. Participants were also exposed to IoT simulation tools like https://circuits.io. The need for solar GREEN energy for IoT projects/products was stressed. 

Click here for PPTs on Internet of Things (IoT)
On Day-2 i.e 28th March, 2017 we began with a revision of topics learnt previously followed by demonstration of LDR sensor. Then participants were introduced to other useful sensors like DHT-11, Ultrasonic sensor, Soil Moisture sensor, Accelerometer, Smoke Sensor, PIR/IR sensor and modules like ESP8266, GSM and Ethernet shields along with basic code and a video of application made by students of IoT course at SDMCET.
Then participants tried hands-on Bluetooth module and were demonstrated with Bluetooth & android app controlled real table fan using relay switch. Participants were also shown with steps involved in designing custom Android app using MIT App Inventor. Later after tea break participants tried hands-on with ESP8266 wifi module to send the LM35 temperature values to Thingspeak cloud to analyse their data.
After the lunch break, steps to send LM35 & LDR sensor values to IBM BlueMix using PHP & MySQL were shown. Then participants were introduced with RaspberryPi 3 and possibilities of Image Processing applications using OpenCV and Google / IBM BlueMix Visual Recognition APIs.