Welcome to my Rice Leaf Detection project

- This is a Data Science and Agriculture domain project
- In this repo you will just see the FROUNT END of the project

• To see the Data Science Project click the link : RiceLeaf-disease-detection

Project info

A Deep Learning project using Transfer Learning (EfficientNet) and Data Augmentation to classify three major rice leaf diseases (Bacterial Blight, Brown Spot, Leaf Smut). Provides a robust, high-accuracy model for early disease detection in precision agriculture.

How can I edit this code?

There are several ways of editing your application.

Use your preferred IDE

If you want to work locally using your own IDE, you can clone this repo and push changes. Pushed changes will also be reflected in Lovable.

The only requirement is having Node.js & npm installed - install with nvm

Follow these steps:

# Step 1: Clone the repository using the project's Git URL.
git clone https://github.com/vinodbavage31/riceleafdetection/

# Step 2: Navigate to the project directory.
cd riceleafdetection

# Step 3: Install the necessary dependencies.
npm i

# Step 4: Start the development server with auto-reloading and an instant preview.
npm run dev

Edit a file directly in GitHub

• Navigate to the desired file(s).
• Click the "Edit" button (pencil icon) at the top right of the file view.
• Make your changes and commit the changes.

Use GitHub Codespaces

• Navigate to the main page of your repository.
• Click on the "Code" button (green button) near the top right.
• Select the "Codespaces" tab.
• Click on "New codespace" to launch a new Codespace environment.
• Edit files directly within the Codespace and commit and push your changes once you're done.

What technologies are used for this project?

This project is built with:

• Vite
• TypeScript
• React
• shadcn-ui
• Tailwind CSS

How can I deploy this project?

Can I connect my own custom domain?

Yes, you can!

For that you need have my permission so contact me my all contact details are attached feel free to contact.