Description: 

A smart automatic feeder for dogs and cats that refills dry food when the food level is low. When the food level drops below 30 grams, the system automatically dispenses food until it reaches 80 grams. This project was created as a simple and reliable feeding solution for pets. It is ideal for owners who have little time or are often away from home. With the automatic refill of dry food based on the current weight in the bowl, it helps maintain regular feeding and ensures that the pet won't be hungry or stressed. 

(I am in the seventh grade of elementary school. I started printing a few months ago and had never done anything with electronics before. This is my first attempt. I found out what components I need and how to connect them on the internet. Maybe not everything is completely correct, but I’m happy that it works and that I can keep learning.)

Project functions: 

The project monitors the weight of the dry food in the bowl, and if the weight drops below 30g, the system automatically adds dry food until it reaches 80g. 

The system measures the weight of the dry food in the bowl using a load cell sensor, and based on this weight, it dispenses dry food using a stepper motor, which ensures the precise amount of dry food according to the current weight in the bowl. 

Used Hardware: 

Arduino Uno: The main microcontroller board used to control the project and manage the sensors and motors. 

GUANG CE YZC-131 Weighing Sensor 1kg: A load cell used to measure the weight of the dry food in the bowl. 

Stepper Motor 28BYJ-48: A stepper motor used to precisely control the dispensing of dry food. 

ULN2003 Stepper Motor Controller: A driver module used to control the stepper motor. 

AD Converter Module 24-bit 2 channels HX711: An analog-to-digital converter (ADC) used to convert the analog signals from the load cell into digital data that can be processed by the Arduino. 

Used Software: 

Arduino IDE: The main software used for programming the Arduino Uno board. The code is written in C++ and uploaded to the Arduino board, which controls the sensors, motors, and the overall functionality of the project. 

 Fusion 360: The model was designed in Fusion 360 software.

ChatGPT: Model description translated into English by ChatGPT.