This document provides an overview of a student's project on designing an IoT-based system under the guidance of faculty. The student studied various microcontrollers including 8051, Arduino, ESP8266 and ESP32. They completed several projects including a traffic light control system using 8051 and environmental monitoring systems using Arduino and ESP32. They are currently working on a project to control home appliances using artificial intelligence and a chatbot integrated with Facebook Messenger. The document outlines the work done on various components and discusses the results and learning experience.

1. IOT BASED SYSTEMDESIGN.
NAME:- ABHISHEK BHAT
REG. No.: - 16ECE35002
UNDER THE GUIDANCE OF:
Dr. M. POONGOTHAI
Ms. R. KALAIVANI
Ms. S. DHANALAKSHMI

2. IOT BASED SYSTEM DESIGN.
1. INTRODUCTION TO IOT.
2. 8051 MICROCONTROLLER.
• ARCHITECTURE.
• INSTRUCTION SET.
• ASSEMBLY LANGUAGE.
• PROGRAMS ON KEIL, PROTEOUS & TRAINER KIT.
3. EMBEDDED C INTRODUCTION.
PROJECT: - TRAFFIC LIGHT CONTROL SYSTEM BASED ON 8051
MICROCONTROLLER.
WEEK 1
2

3. IOT BASED SYSTEM DESIGN.
1. INTRODUCTION TO ARDUINO.
• ARDUINO IDE SOFTWARE.
• SERIAL & PARALLEL COMMUNICATION.
2. INTRODUCTION TO SENSORS, USING THEM WITH ARDUINO. ALSO DONE
STIMULATION ON PROTEOUS.
3. ARDUINO PROGRAMS.
PROJECT: -
• ARDUINO based system to monitor TEMPERATURE & HUMIDITY value
inside the lab & connect it to relay and make it on or off.
• Design an ARDUINO based system to CALIBRATE GAS CONCENTRATION using
MQ-9 sensor & display the data in serial monitor.
• Design an ARDUINO based system to detect the FREE PARKING SLOT using
ULTRASONIC SENSOR.
WEEK 2
3

4. 4
IOT BASED SYSTEM DESIGN.
WEEK 3
1. INTRODUCTION TO ESP8266 & ESP32.
2. STUDY OF MICROPYTHON ON ESP8266 & ESP32.
• INSTALLATION OF PUTTY.
• ZERYNTH STUDIO.
• PYCHARM.
• ESPLORER.
• WEB SERVER CONNECTION IN MICROPYTHON.
• CONNECT Amazon Web Services TO ESP32 USING ZERYNTH STUDIO.
• INSTALLATION OF FIRMWARE FROM MICROPYTHON.ORG.
PROJECT: - USING ESP32 COLLECT & MONITOR TEMPERATURE & HUMIDITY OF
A LAB WITH THE HELP OF MICROPYTHON.

5. 5
IOT BASED SYSTEM DESIGN.
WEEK 4
1. PROJECT BASED ON ARTIFICAL INTELLIGENCE WITH IOT USING ESP32.
1. MAKING OF CHATBOT ON AWS USING AWS LEX TOOL.
2. INTEGRATING OF CHATBOT ON FACEBOOK MESSENGER.
3. IFTTT.
4. ADAFRUIT IO.
5. PYCRAFT IDE.
6. CHATFUEL SOFTWARE.
1. INTRODUCTION TO RASPBERRY PI BOARD.
1. WHAT IS RASPBERRY PI.
2. INSTALLATION OF RASPBERIAN OS INTO RASPBERRY PI.
3. BASIC LED PROGRAM ON RASPBERRY PI.

6. WORK DONE
 I HAVE STUDIED ABOUT THE BASIC OF EMBEDDED SYSTEM WHICH CONSIST OF 8051
MICROCONTROLLER, ASSEMBLY LANGUAGE, EMBEDDED C LANGUAGE. ALSO I HAVE
SUCESSUFULLY GENERATED THIS KNOWLEDGE REAL TIME PROJECT MENTIONED
ABOVE AS TRAFFIC LIGHT CONTROL SYSTEM BASED ON 8051 MICROCONTROLLER.
 AS ARDUINO WAS NEW APPROACH FOR ME, AND IT WAS THE BASIC FOR MY FUTURE
PROGRESS SO I HAVE INDULGED MYSELF IN THIS MODULE THE MOST. I HAVE
STUDIED ABOUT ARDUINO PROTOCOLS, I2C, SPI, SERIAL & PARALLEL
COMMUNICATION, ALSO INTERACTING WITH ARDUINO GPIO PINS WITH DIFFERENT
SENSORS.
 MY PROJECT REGARDING ARDUINO WHERE AS FOLLOW:-
• ARDUINO based system to monitor TEMPERATURE & HUMIDITY value
inside the lab & connect it to relay and make it on or off with the help of the
sensor used.
• ARDUINO based system to CALIBRATE GAS CONCENTRATION using MQ-9
sensor & display the data in serial monitor.
• ARDUINO based system to detect the FREE PARKING SLOT using
ULTRASONIC SENSOR.
6

7. WORK DONE
 ESP8266 & ESP32 ARE DIFFERENT KIND OF MODULES i.e. BOTH HAVE WIFI
MODULE WHICH HELP IT TO DIRECTLY CONNECT WITH THE CLOUD. BUT
THIS WORK IS WAY MORE TIME CONSUMING IN MICROPYTHON.
 USING MICROPYTHON INSTEAD OF EMBEDDED C IS SOMETHING
DIFFERENT, WE HAVE TO INSTALL THE FIRMWARE FIRST THROUGH
PYCRAFT SOFTWARE. AFTER THAT I WAS ABLE TO RUN SOME BASIC
PROGRAM ON ESP32 & ESP8266.
 BUT FOR CONNECTING IT TO THE CLOUD IT WAS EASY UNLESS IF WE DON’T
KNOW HTML OR CSS.
 I HAVE WORKED ON ZERYNTH STUDIO ALSO BECAUSE IT IS THE ONLY
PLATFORM WHERE WE CAN RUN MICROPYTHON AND CONNECT TO
DIFFERENT CLOUDS SERVICES LIKE :- AMAZON WEB SERVICES,
MICROSOFT AZURE, GOOGLE FIREBASE ETC. ALL AT ONE PLACE.
 MY FIRST PIRORITY WAS AMAZON WEB SERVICES AS IT IS THE LEADING
CLOUD COMPANY IN THE MARKET AND ALSO THIS CLOUD PROVIDE LOT’S
OF DIFFERENT SERVICES.
 I WAS ABLE TO CONNECT MY ESP32 WITH AWS THROUGH ZERYNTH AND IT
WAS ONE OF THE MAJOR TASK FOR ME TO DO.
7

8. WORK DONE
 PROJECT ON ESP32 : - CALCULATE & MONITOR TEMPERATURE & HUMIDITY SENSOR
USING DHT11 SENSOR, ALSO PUT THE TEMPERATURE & HUMIDITY VALUE ON CLOUD.
 THE MAIN TOOL THAT I HAVE USED IS AWS LEX, IT IS A TOOL WHICH HELP TO PROVIDE
CHATBOT ALSO IT IS EASILY INTEGRABLE TO OTHER PLATFORM LIKE FACEBOOK
MESSENGER ETC.
 I ALSO WORKED ON IFTTT & ADAFRUIT IO PLATFORM TO INTEGRATE CHATBOT FOR MY
PROJECT.
 I ALSO ATTENTED ONE LEACTURE ON RASPBERRY PI,IN THAT WE CAME TO KNOW
ABOUT HOW TO CONNECT AND ALSO HOW TO WORK ON BASIC PROGRAMS ON
RASPBERRY PI BOARD.
 RIGHT NOW I AM WORKING ON MY PROJECT WHICH IS “USING ARTIFICAL INTELIGENCE
CONTROL HOME APPLIANCES”. IT IS KIND OF A DIFFERENT PROJECT AS I HAVE TO
CREATE A CHATBOT USING AMAZON LEX & THEN I HAVE TO INTEGRATE IT ON
FACEBOOK MESSENGER. BY THIS MESSENGER WE CAN GIVE COMMAND TO TURN THE
APPLIANCES ON/OFF TO ESP32. BUT EVENTUALLY THIS METHOD GOT BREAK BECAUSE
AWS LEX WAS NOT SUPPORTING THE FULL INTEGRATION ON FACEBOOK MESSENGER
& ADAFRUIT IO. SO I HAVE TO CHANGE MY METHOD & I GOT TO START WORKING ON
CHATFUEL SOFTWARE. THIS SOFTWARE IS OPEN SOURCE WHERE WE CAN EASILY
MAKE A CHATBOT & ALSO WE CAN INTEGRATE AI METHODS TO IT.
8

9. RESULTS & DISCUSSIONS
• AS PER FROM THE STARTING OF THIS COURSE I HAVE LEARNED ABOUT THE MOST
BASIC LEVEL TO THE TOP MOST LEVEL OF IOT SYSTEM DESIGN.
• THE USE OF PROTEOUS SOFTWARE WAS VERY USEFUL BECAUSE WE CAN CHECK
CODE & CONNECTIONS IN NO TIME AND IT HELP US TO CONSUME LESS TIME ON
CONNECTING WIRES WITH HAVING ERROR IN CODES OR PROBLEM IN CONNECTIONS.
• AS FAR FOR NOW I AM CURRENTLY WORKING ON MICROPYTHON BECAUSE IT IS A
VERY DIFFERENT FIELD FOR ESP32 & ALSO A HETIC ONE TO FOLLW. MY PROJECT
““USING ARTIFICAL INTELIGENCE CONTROL HOME APPLIANCES” IS ONE OF THE
PROJECT USING MICROPYTHON, IT IS AN ON GOING PROCEDURE & I WILL LIKELY TO
COMPLETE IT SOME HOW.
• AS MICROPYTHON IS A NEW FIELD IN ESP32 THERE ARE LESS AWARENESS ABOUT IT
& THAT IS THE ONLY DRAWBACK FOR ESP32 WHICH WORK ON MICROPYTHON.
9

10. ARTIFICAL INTELLIGENCE BASED
CHATBOT FOR APPLIANCE CONTROL.
10

11. 11
ARTIFICAL INTELLIGENCE BASED
CHATBOT FOR APPLIANCE CONTROL.
• IN THIS PROJECT PRESENT AN ARTIFICAL INTELLIGENCE(AI)-BASED
CHATBOT FOR CONTROLLING ELECTRICAL HOME APPLIANCES USING
ESP32 WIFI MODULE & FACEBOOK MESSENGER PLATFORM.
• FOR CREATING A CHATBOT FOR FACEBOOK IS AWS LEX & CHATFUEL.
• THIS PROJECT ALSO USES IFTTT & ADAFRUIT IO FOR BACK-END
SUPPORT.
• WE WILL CREATE THE CHATBOT SEPERATELY AND THEN INTEGRATE IT
WITH

12. ARTIFICAL INTELLIGENCE BASED
CHATBOT FOR APPLIANCE CONTROL.
12
• ESP32 WIFI MODULE.
• ARDUINO BOARD
• JUMPER WIRES.
• BLUB ( represent AC Appliance).
• 220 volt input.
• Account for AWS LEX, CHATFUEL, ADAFRUIT IO, IFTTT.
• MICROPYTHON SOFTWARE (UPYCRAFT, ZERYNTH STUDIO).

13. ARTIFICAL INTELLIGENCE BASED
CHATBOT FOR APPLIANCE CONTROL.
13
• THIS IS A SIMPLE CIRCUIT IN WHICH
WE ARE GOING TO CONNECT
RELAY TO AN AC APPLIANCE AND
ALSO WITH THE 220 VOLT SOURCE.
• THIS RELAY IS THEN CONNECTED
TO THE ESP32 WIFI MODULE
WHICH IS GOING TO GIVE
COMMAND TO THE REALY TO BE
TURNED ON/OFF.
• HERE WE ARE USING A BULB
WHICH WILL REPRESENT THE AC
APPLIANCE.

14. ARTIFICAL INTELLIGENCE BASED
CHATBOT FOR APPLIANCE CONTROL.
14
• IN THIS APPROACH WE ARE GOING TO USE CHATFUEL WEBSITE ALONG
WITH IFTTT & ADAFRUIT IO.
• BUT THIS APPROACH WILL ONLY BE INTEGRATED IN ARDUINO IDE. SO
FOR MICROPYTHON WE HAVE TO USE A DIFFERENT APPROACH WHICH
WILL BE DISCUSSED AFTER THIS APPROACH.
• SO, THE FIRST THING THAT WE HAVE TO DO IS TO CREATE A FACEBOOK
PAGE. FOR THAT JUST TYPE ON GOOGLE FACEBOOK PAGE CREATION
AND THEN CREATE A PAGE ON FACEBOOK.
• THIS FACEBOOK PAGE SHOULD BE HIDDEN FROM PUBLIC. IT’S
NECESSARY TO DO IT.

15. ARTIFICAL INTELLIGENCE BASED
CHATBOT FOR APPLIANCE CONTROL.
15
FACEBOOK PAGE CREATION.

16. ARTIFICAL INTELLIGENCE BASED
CHATBOT FOR APPLIANCE CONTROL.
16
• NOW, IT’S TIME TO CREATE A CHATBOT USING CHATFUEL WEBSITE, SO FOR THIS
WE HAVE TO CREATE AN ACCOUNT AND THEN LINK IT TO THE FACEBOOK PAGE.
• THEN WE HAVE TO SELECT A BLANK BOT, AND IN THAT WE HAVE TO CREATE
OUR BOT.
• THE BOT FIRST THING IS TO PROVIDE A WELCOME MESSAGE WHICH IS USED TO
BE AS A GREATING TO THE USER. EDIT THE WELCOME MESSAGE AND THEN WE
WILL MOVE TO OUR NEXT STEP.
• NOW, SELECT THE ADD BLOCK AND ADD TWO BLOCKS NAME RELAY ON & OFF.
• AFTER THIS CLICK ON SET UP AI, HERE USE ALL THE PHRASE THAT A USER CAN
USE TO TURN THE LIGHT ON & OFF.
• THIS AI MUST REPLY WITH A GIVEN BLOCK, SO ADD THE TWO BLOCK THAT
WHERE CREATED RECENTLY.
• NEXT STEP INCLUDE ADAFRUIT IO.

17. ARTIFICAL INTELLIGENCE BASED
CHATBOT FOR APPLIANCE CONTROL.
17CHATFUEL WEBSITE

18. ARTIFICAL INTELLIGENCE BASED
CHATBOT FOR APPLIANCE CONTROL.
18
• IN THIS WE ARE GOING TO USE ADAFRUIT IO.
• THIS IS THE WEBSITE WHICH IS OPEN SOURCE & ALSO WE CAN BUILT A
TOGGLE SWITCH SO THAT WE CAN ON/OFF THE DEVICES
• .
• NOW FOR THAT WE HAVE TO CREATE A ADAFRUIT ACCOUNT, KEEP THE
SAME ACCOUNT WHICH WE USED EARLIER IN THIS APPROACH.
• AFTER CREATING AN ACCOUNT, NOW WHAT WE HAVE TO DO IT TO CREATE A
NEW FEED BY SELECTING FEED & PROVIDE A NAME TO IT AS ON/OFF.
• NOW CREATE A DASHBOARD WHERE WE CAN USE A TOGGLE BUTTON TO
PERFORM THIS ACTION. AFTER CREATING IT USE THE FEED NAME THAT IS
CREATED EARLIER.
• THIS WHOLE PROCESS IS SUMMARISED AS WE HAVE CREATED A TOGGLE
SWITCH WHICH WILL TURN ON AND OFF WHILE WE GIVE COMMAND TO IT.

19. ARTIFICAL INTELLIGENCE BASED
CHATBOT FOR APPLIANCE CONTROL.
19
ADAFRUIT IO

20. ARTIFICAL INTELLIGENCE BASED
CHATBOT FOR APPLIANCE CONTROL.
20
• NOW WE ARE GOING TO USE IFTTT, THIS IS A PLATFORM WHERE WE CAN INTEGRATE
CHATFUEL AND ADAFRUIT IO TOGETHER SO THAT WE CAN COMPLETE THE WHOLE AI PART,
THEN WE WILL BE LEFT WITH ONLY ESP32 PART.
• NOW THE SAME PROCEDURE WILL BE DONE, WE HAVE TO LOG IN WITH AN ACCOUNT THAT WE
ARE USING IN THIS APPROACH.
• AFTER CREATING ACCOUNT, WE HAVE TO CLICK ON CREATE, AND CHOOSE “IF THIS THEN THAT”
SERVICE. AFTER SELECTING THIS SERVICE WE HAVE TO SELECT WEBHOOKS & FILL ALL THE
CREDENTIALS THERE.
• NOW SELECT ON THAT SECTION & SEARCH FOR ADAFRUIT IO, HERE ALSO FILL ALL THE
CREDENTIALS THAT THEY ARE ASKING ABOUT.
• NOW WHEN THE WHOLE PROCESS IS COMPLETE WE WILL CLICK ON MY SERVICES AND
SELECT WEBHOOKS, THERE WE WILL FIND DOCUMENTATION TAB IN WHICH WE ARE GOING TO
CHECK THE URL.
• THERE SHOULD BE TWO URL BASED ON THE TWO BLOCK’S THAT WE HAVE GENEARTED IN
CHATFUEL. THESE LINK WILL LOOK LIKE :-
For Light On: https://maker.ifttt.com/trigger/<your event name>/with/key/<your webhook trigger
key>/?value1=1
For Light Off: https://maker.ifttt.com/trigger/<your event name>/with/key/<your webhook trigger
key>/?value1=0

21. ARTIFICAL INTELLIGENCE BASED
CHATBOT FOR APPLIANCE CONTROL.
21
• NOW, WE ARE GOING TO PROVIDE THESE TWO LINKS TO THE CHATFUEL
CHATBOT. FOR THAT WHAT WE HAVE TO DO IS COPY BOTH THE LINKS AND
COPY TO THE RESPECTIVE BLOCK’S i.e. VALUE=1 FOR ON & VALUE=0 FOR
OFF.
• THE PROCEDURE FOR COPYING IS THAT OPEN CHATFUEL-> CLICK ON
BLOCKS-> CLICK ON (+) BUTTON -> THEN ADD JSON API AND POST THE LINK.
• NOW AFTER THIS THE CHATBOT IS INTEGRATED TO OUR IFTTT, ADAFRUIT
IO & FACEBOOK MESSENGER

22. ARTIFICAL INTELLIGENCE BASED
CHATBOT FOR APPLIANCE CONTROL.
22
INTEGRATION PART

23. ARTIFICAL INTELLIGENCE BASED
CHATBOT FOR APPLIANCE CONTROL.
23
• THE 2ND APPROACH FOR THIS IS TO USE AWS LEX INSTEAD OF CHATFUEL,
ADAFRUIT & IFTTT.
• THIS IS AN ON GOING PROCESS FOR ME RIGHT NOW AS I AM WORKING ON
IT.
• AWS LEX IS BASICALLY AN AI CHATBOT WHUCH CAN BE DIRECTLY
INTEGRATED TO THE FACEBOOK MESSENGER.
• THE PROCESS IS SAME BUT THE NTEGRATION PART IS SMALL AND EASY.
BUT THE PROBLEM IS THIS TOOL REQUIRE A MUCH AMOUNT OF TIME.
• I HAVE CREATED ONE AND IT’S WORKING PERFECTLY FINE.

24. ARTIFICAL INTELLIGENCE BASED
CHATBOT FOR APPLIANCE CONTROL.
24AMAZON LEX BASED CHATBOT

25. RESULTS & DISCUSSIONS
• THIS PROJECT IS UNDER PROGRESS, AS
MICROPYTHON IS A NEW FIELD IN ESP32 AND IT IS IN
THE LEARNING STAGE ITSELF. WE HAVE TO DEVELOP IT
IN OUR OWN WAY.
• ALL THE INTEGRATION WERE NOT SUCESSFUL BUT
KEEP WORKING ON IT IS THE KEY FOR THE SUCCESS
OF EVERYTHING.
25

26. CONCLUSION
• PROJECT CAN NOT BE DEPLOY IN REAL TIME FOR NOW. BUT FOR
SURE IT WILL BE DEPLOYED IN FUTURE BY USING MICROPYTHON.
• I CAN NOW EASILY IMPLEMENT ALL THESE KNOWLEDGE TO SOME
REAL TIME PROJECT’S IN MY FUTURE.
• ALSO I CAN GENERATE OUTPUT WHICH CAN HELP THE SOCIETY
AND MOST PROBALY THIS LEADING SECTOR(IOT) WILL CHANGE THE
WHOLE SCENARIO IN THE UPCOMING DAYS OF NEW GENEARTION.
26

27. REFERENCES
1. RANDOM NERD TOOLS, “MICROPYTHON ON ESP8266, ESP32”, Vol.No.1
2. (AMAZON WEB SERVICES) https://aws.amazon.com/
3. GITHUB.
4. ELECTRONICSFORU ARTICLE.
5. (MICROPYTHON) https://micropython.org
6. ZERYNTH STUDIO.
7. ADAFRUIT IO.
8. IFTTT.
9. TWITTER.
27

28. THANK YOU
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