Plant Health Detection App

Overview

The Plant Health Detection App is a comprehensive solution for plant disease identification, medication recommendations, and online store management. It includes offline disease detection using pre-trained models, fetching disease descriptions and remedies from the internet, recommending medications, and linking to nearby stores for purchasing supplies. The app also features a shop dashboard for managing stock listings and prices, as well as a responsive AI assistant for agricultural queries.

Features

1. Offline Plant Disease Detection

• Detects plant diseases from leaf images using offline trained models.

2. Disease Descriptions & Remedies

• Fetches detailed descriptions, causes, symptoms, and remedies from the internet after detection.

3. Medication Recommendations & Nearby Shops

• Suggests medications and shows nearby shops with available stock and pricing.

4. Shop Dashboard

• Shop owners can log in to manage their product listings, stock, and prices.

5. Online Disease Detection

• Detects diseases online for plants not covered by the offline model.

6. AI Agricultural Assistant

• AI assistant answers agriculture-related queries with text and images.

Usage Guide

For Users

1. Disease Detection

• Click/Upload a leaf image.
• App detects disease offline using trained models.
• View detected disease name and basic information.

2. Fetch Disease Descriptions & Remedies

• After detection, view detailed disease description, symptoms, causes, and remedies fetched from the internet.

3. Medication Recommendations & Nearby Shops

• App suggests suitable medications.
• Browse nearby shops showing stock availability and prices.
• Contact or visit shops directly.

4. Online Disease Detection (For Unrecognized Plants)

• If offline detection fails, perform online detection(can also be used to detect pests whether they are harmful or not).
• Upload image, app fetches disease name and remedies from the internet.

5. AI Agricultural Assistant

• Ask any plant or agriculture-related queries.
• Receive text and image-based responses from the AI assistant.

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For Shop Owners

1. Shop Login

• Log in with shop credentials through the Shop Login page.

2. Manage Stock

• Add, update, or remove products.
• Set product names, stock quantity, and prices.

3. Track Inventory

• Monitor available stock.
• Adjust inventory based on sales and demand.

Development

1. Clone the repository:

   git clone https://github.com/aarontoms/Thakkali.git

2. Navigate to view the app code:

   cd app/src/main/java/com/example/thakkali

3. Build the mobile app using the Build tool in Android Studio

4. Navigate to the backend code:

   cd server

5. Install the necessary dependencies:

• For Android: Use Android Studio to open the project and sync the dependencies.
• For Backend (Flask and MongoDB): Ensure you have Python 3.x installed, then run:

  pip install -r requirements.txt

6. Turn on the server using
   This hosts the server on http://localhost:5000, use it locally or use port forwarding to access it over the internet.

   python a.py

7. Train Your Own Model
   Learn how to train the model here