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An innovative mobile application designed to assist users in diagnosing tomato leaf health. Using advanced image processing and machine learning algorithms, this app allows users to scan a tomato leaf and receive immediate feedback on its condition.

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edinabwari/Tomato_Inspection_App

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Tomato Inspection Application

This Android application helps users detect diseases in tomato leaves using a TensorFlow Lite model. Users can upload images from their gallery or capture images using their device camera. The application then processes the image and predicts the disease affecting the tomato leaf, providing information and recommendations.

Features

  • Register account / login for existing account.
  • Access the main page to navigate to other pages.
  • Upload or capture images of tomato leaves
  • Detect and classify diseases using a TensorFlow Lite model
  • Display disease name and confidence score
  • Provide possible causes, treatments, and preventive practices for the detected disease
  • Get details on other tomato diseases and learn more.

Prerequisites

  • Firebase
  • Android Studio { Java, XML}
  • TensorFlow Lite model for tomato leaf disease detection

How It looks - Student Dashboards

Users are able to register acount by filling in their details Register page

Users can log in to their already created account. Login page

Users are redirected to the main page once they log in main dashboard

Image upload or capture page looks like this when the user press the get started button upload page

They can view the results given by the model results page

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An innovative mobile application designed to assist users in diagnosing tomato leaf health. Using advanced image processing and machine learning algorithms, this app allows users to scan a tomato leaf and receive immediate feedback on its condition.

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