GDSC-UIT/eGreenBinInteract

eGreenBin interact

This Flutter project is a face recognition app. It is designed to detect the face of a student and retrieve their name from a database. Students can interact with the IoT system through picking Recycled/Non-recycled for that piece of trash.

Getting Started

To get started with this project, follow these steps:

1. Clone the repository
2. Open the project in your preferred IDE (e.g. Android Studio, VS Code)
3. Run flutter pub get to install the required dependencies
4. Run the project in an emulator or on a physical device

Using The App

The app has a simple user interface that allows you to use.

• First, when you open the app you will need to connect with Iot trash by entering the IP address shown on the screen of the trash bin.
• When connected successfully you will see the waiting screen.
• Whenever the sensor detects trash in the bin it will trigger the app to go the interact screen.

Project Structure

The project consists of the following files and directories:

• android/ : The Android-specific project files
• ios/: The iOS-specific project files
• lib/: The Dart code for the app
• pubspec.yaml: The pubspec file for the app

Dependencies

The app uses the following dependencies:

• cupertino_icons: ^1.0.2
• get:^4.6.5
• camera:^0.10.3
• image: ^3.2.0
• path_provider: ^2.0.12
• google_mlkit_face_detection: ^0.4.0
• audioplayers: ^3.0.1
• confetti: ^0.7.0
• lottie: ^2.2.0
• http: ^0.13.5
• web_socket_channel: ^2.3.0
• flutter_launcher_icons: "^0.11.0”

Demo

Future improvements

• Improve user experience better
• Face processing speed will be faster

Contributor

Nguyen Cong Tan Phat