This is a Next.js project bootstrapped with create-next-app.

Plant Scanner 🌿

A modern web application that uses AI to identify plants and provide detailed care instructions.

Author

Created by Aditya
Tutorial by Techaly

Features

• 📸 Instant plant identification from photos
• 🎯 Detailed plant information including scientific names
• 🌱 Comprehensive care instructions
• 💫 Beautiful, responsive UI with animations
• 🔒 Privacy-focused implementation

Screenshots

Home Screen

Upload interface with animated background

Plant Information

Detailed plant information display with care instructions

Privacy Concerns

1. Data Protection

   • All image processing is done securely through encrypted connections
   • No user images are stored permanently
   • API keys are handled securely

2. User Privacy

   • No personal information is collected
   • No tracking or analytics implemented
   • No cookies used for tracking

3. API Usage

   • Uses Google's Gemini API with proper authentication
   • All API calls are made server-side for security
   • Rate limiting implemented to prevent abuse

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.

Learn More

To learn more about Next.js, take a look at the following resources:

• Next.js Documentation - learn about Next.js features and API.
• Learn Next.js - an interactive Next.js tutorial.

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

Tech Stack

• Next.js 14
• TypeScript
• Tailwind CSS
• Google Gemini API

Usage Steps

1. Open the application in your browser
2. Click the upload button or drag & drop a plant image
3. Wait for the AI to analyze the image
4. View detailed plant information and care instructions

Privacy Policy

This application is committed to protecting user privacy:

• We do not store or share your images
• No personal data is collected
• All processing is done in real-time
• Images are discarded after analysis
• No third-party tracking

License

MIT License - see LICENSE file for details

Acknowledgments

• Google Gemini API for plant identification
• Next.js team for the amazing framework
• Tailwind CSS for the styling system

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Made with 💚 by Aditya | Tutorial by Techaly