Rekindle finds modern alternatives to your favorite clothes. Just upload a photo, set your preferences, and our AI delivers personalized, style-matching recommendations.

Rekindle is an AI-powered fashion application that helps users find alternatives to their favorite clothing items, especially when they're discontinued. By leveraging advanced visual search algorithms and style-matching techniques, Rekindle offers personalized recommendations that match your personal style preferences.

• Visual Search: Upload photos of clothing items you love
• Style Matching: AI-powered algorithms find similar alternatives
• Personalized Recommendations: Customize preferences to refine your search
• Cross-Platform Access: Works seamlessly across multiple devices
• Discontinued Item Solutions: Find alternatives for items that are no longer available

1. Upload a Photo: Take or upload a picture of your favorite clothing item
2. Set Preferences: Specify your size, price range, preferred brands, and other criteria
3. Get Recommendations: Receive AI-curated alternatives that match your style
4. Shop with Ease: Click through to purchase items from partner retailers

• Frontend: React.js, HTML5, CSS3
• Backend: Flask, Python
• AI/ML: CLIP (from Hugging Face), Computer Vision algorithms
• Database: MongoDB

• Node.js (v14.0.0 or higher)
• Python (v3.8 or higher)
• pip (latest version)

1. Clone the repository

   git clone https://github.com/TomMitchell123/Rekindle.git
   cd rekindle
   

2. Install frontend dependencies

   cd client
   npm install
   

3. Install backend dependencies

   cd ../server
   npm install
   

4. Set up environment variables

   cp .env.example .env
   

   Edit the .env file with your configuration details

5. Start the development servers

   # In the project terminal
   npm start
   

6. Open your browser and navigate to http://localhost:5173

The Rekindle API provides endpoints for:

• Image upload and processing
• Style matching and recommendation
• User preference management
• Product details and links

Detailed API documentation is available at /api/docs when running the development server.

This project is licensed under the MIT License - see the LICENSE file for details.

• CLIP for visual recognition capabilities
• Hugging Face for ML model implementations
• All the amazing developers who contributed to this project

Project Link: https://github.com/TomMitchell123/Rekindle