https://github.com/yunussemree/fungify

Mobile application that utilizes artificial intelligence to classify mushrooms as consumable or non-consumable.
https://github.com/yunussemree/fungify

dart deep-java-library flutter java pytorch spring-boot sqlite

Last synced: about 1 month ago
JSON representation

Mobile application that utilizes artificial intelligence to classify mushrooms as consumable or non-consumable.

• Host: GitHub
• URL: https://github.com/yunussemree/fungify
• Owner: YunussEmree
• License: apache-2.0
• Created: 2024-03-23T00:37:06.000Z (about 1 year ago)
• Default Branch: v2-improved_system
• Last Pushed: 2025-03-26T15:58:05.000Z (about 2 months ago)
• Last Synced: 2025-04-15T00:17:31.041Z (about 1 month ago)
• Topics: dart, deep-java-library, flutter, java, pytorch, spring-boot, sqlite
• Language: Dart
• Homepage:
• Size: 14.4 MB
• Stars: 4
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Fungify (Tübitak 2209-B Project)

## What is Tübitak 2209-B Project?

Typically, projects under this program can last up to 12 months, and the funding amount is defined in the program guidelines. By participating in TÜBİTAK 2209-B, students get a valuable opportunity to gain hands-on research experience, work closely with industry professionals, and contribute innovative solutions to industrial challenges.




## What is This Project?

The project's objective is to create a mobile application that utilizes artificial intelligence to classify mushrooms as consumable or non-consumable. This initiative is affiliated with Burdur Mehmet Akif Ersoy University's Bucak Computer and Informatics Faculty during the second semester of 2023.

## Which Technologies used?

+ Backend

  + Java Deep Library for running Pytorch model in java

  + Spring Boot

  + Spring Boot Web for web application

  + Lombok for more clean code

  + JDBC for access to database

  + Mockito for unit tests

+ Database

  + SQLite 

+ Mobile Application

  + Dart

  + Flutter

+ AI

  + PyTorch

  + MobileNetV2-autoencoder algorithm

  + Numpy

  + Seaborn

+ Others

  + Docker for prevent the some environment problems

  + Postman is used for tests

  + Github Actions for CI/CD

 

# Mobile App Showcase









# To Do's

- Database will change to mongodb

- Spring Security will be integrated

- Mobile app should be recode for clean code principles

- New tests will be written

- RabbitMQ will be integrated

- AI model will be changed

- Publish