Machine learning interfaced with Arduino | 2024

[@makersgroup]

#include #include "DHT.h" #define DHTPIN 2 // Digital pin connected to the DHT sensor #define DHTTYPE DHT11 // DHT 11 #include #include LiquidCrystal lcd(13, 12, 11, 10, 9, 8); DHT dht(DHTPIN, DHTTYPE); int light= A0; void setup() { Serial.begin(9600); dht.begin(); delay(10); lcd.begin(20, 4); lcd.setCursor(0,0); lcd.print("Integrating"); lcd.setCursor(0,1); lcd.print("Machine learning"); lcd.setCursor(0,2); lcd.print("In Proteus simulation"); lcd.setCursor(0,3); lcd.print("!!!..."); delay(2000); lcd.clear(); Serial.println("REBOOT"); } void loop() { double k=analogRead(A0); // LDR reading double h = dht.readHumidity();//Humidity double t = dht.readTemperature();//Temprature if (isnan(h) || isnan(t) ) { Serial.println(F("Failed to read from DHT sensor!")); } double ProbablityRain=0.03743225*h - 2.21389335*t - 0.09773871*k +198.85713381876218; lcd.setCursor(0,0); lcd.print("The Probablity of"); lcd.setCursor(0,1); lcd.print("Raining in % is "); lcd.setCursor(0,2); lcd.print(ProbablityRain); }

[@Pompicz]

Thank you, my uni project is saved :))

[@AbhrasnataRay]

Can you kindly provide the wiring and connection image properly? This seems to have been blurred. Also I need to know the rating of resistors being used.

[@milanvchristy5295]

i have one doubt what is the estimated time to build this project?

[@makersgroup]

Dear milanvchiristy It depends on your skill but the 5 minute is the video length which helps you to know how you can interface and set the project.

[@حسناحمد-ض8ق9ف]

Can i have the code you used to machine learning

[@taztazani]

Ben2rak zaber bro ❤

[@makersgroup]

Thank you

[@CedrickJohnCALIB-OG]

do you have related articles or studies about this?

[@makersgroup]

Not yet but thank you for your comment!!!....

[@jenildave4784]

This is not how you do. What about neural networks and deep learning models?

[@makersgroup]

Dear Jenil, this video is specific to the linear regression model. Still, if you intend to use neural network and deep learning models, you can use the Tinyml board instead of the Arduino Uno board, or else you can feed the data from your Arduino UNO board to your machine learning model serially. Thank you for your comment and If you have any doubts let me know

[@mohamed.hesham]

can i get the project source code plzz ?

[@makersgroup]

The source code is avalible on the first part of the comment section