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APT4900-A Applied Computer Technology Project for Spring Semester 2022

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eric-mahasi/leafly

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leafly

APT4900-A Applied Computer Technology Project for Spring Semester 2022. Using machine learning to detect diseases in tomato crops from pictures of their leaves.

Features

A user is able to:

  • Sign up if they are a new user
  • Sign in
  • Select a photo from their gallery
  • Take a photo with their camera
  • Get results of scanned photo
  • Edit their account details

An administrator is able to

  • Sign in
  • View and delete users
  • View some statistics on a dashboard
  • Generate a report on most frequently detected diseases

What I Learned

  • How to create a convolutional neural network that uses computer vision to detect tomato diseases
  • How to integrate a machine learning model with a Flutter application
  • CRUD operations on Firebase Firestore database
  • Asynchronous functions in Flutter

Screenshots

Onboarding

Sign in & Sign up Screen

    

Select a Photo Screen

    

Scan Results Screen

Acknowledgments

License

This project is licensed under the MIT license - see the LICENSE.md for details.

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