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Capstone Project for controlling an IoT Pet Feeder device through a mobile application

Kotlin 0.05% Swift 0.86% Objective-C 0.02% Dart 81.54% CMake 7.49% C++ 8.74% C 0.57% HTML 0.73%

petfeederapp's Introduction

petfeederapp

Capstone Project - Smart Pet Feeder Application

Built using Flutter, MQTT and MongoDB

Tools:

Visual Studio Code (VSCodium better fork imo)
Arduino IDE (Legacy IDE 1.8.19)
MQTT CLI

Materials:

Wemos D1 R1 ESP8266 (View Code)
ESP32-Cam (HW-818) with OV2640 Camera (View Code)
SG90 Servo Motor
Small/Mini Breadboard
5V Single-Channel Relay Module
UV-C Light Tube (around 3-6 inches)

Getting Started:

This application requires a MongoDB Cloud database account to set up, make sure you have an accessible server either locally or globally for its CRUD (Create, Read, Update, Delete) API. The source code for the application's CRUD API written in NodeJS can be seen here petfeederdb. Furthermore, this application requires two MQTT brokers, one that is publicly available (utilizes port 1883) and one that is private (utilizes port 8883).

Compiling/Building:

After setting up the CRUD API, Make sure you have java-11-openjdk version installed and set on your system, after which clone this repository.

Inside assets/ directory create a .env file and follow the format:

CRUD_API="https://someapi.com/" # Database CRUD API here
MQTT_SERVER0="private.mqttbroker.com" # This MQTT broker must be private (uses port 8883)
MQTT_USER="username" # Username for authenticating in MQTT_SERVER0
MQTT_PASS="password" # Password for authenticating in MQTT_SERVER0
MQTT_SERVER1="public.mqttbroker.com" # Another MQTT Server must be public (uses port 1883)

For testing purposes run the application in debug mode by executing flutter run -d <device_id> or simply flutter run.
To build the application for production simply execute flutter build apk --release