https://github.com/iswarya-singaram/vision_crafters-myntra_hackerramp

This project is a prototype developed for the Implementation phase of the Myntra HackerRamp "We for She" hackathon. It aims to create an avatar from the user's body measurements, acting as a mannequin for virtual try-ons. This solution is designed to reduce return rates and increase user engagement on online shopping platforms.
https://github.com/iswarya-singaram/vision_crafters-myntra_hackerramp

Last synced: about 2 months ago
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This project is a prototype developed for the Implementation phase of the Myntra HackerRamp "We for She" hackathon. It aims to create an avatar from the user's body measurements, acting as a mannequin for virtual try-ons. This solution is designed to reduce return rates and increase user engagement on online shopping platforms.

• Host: GitHub
• URL: https://github.com/iswarya-singaram/vision_crafters-myntra_hackerramp
• Owner: Iswarya-Singaram
• Created: 2024-07-15T12:07:29.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-08-24T06:57:31.000Z (5 months ago)
• Last Synced: 2024-08-24T07:38:05.427Z (5 months ago)
• Language: Python
• Homepage:
• Size: 5.89 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Virtual Try-On Avatar Prototype

## Overview

This project is a prototype developed for the Implementation phase of the Myntra HackerRamp "We for She" hackathon. It aims to create an avatar from the user's body measurements, acting as a mannequin for virtual try-ons. This solution is designed to reduce return rates and increase user engagement on online shopping platforms.



















## Key Features

- **Avatar Creation**: Generates a virtual mannequin based on the user's body measurements.

- **Privacy-Friendly**: Eliminates the need for users to share pictures, addressing privacy concerns.

- **Virtual Try-On**: Allows users to see how clothes fit on their avatar.

## Future Enhancements

- **Gender Selection**: Enable users to choose the mannequin's gender to better match different body types.

- **AI Recommendations**: Provide personalized fit suggestions, such as "the dress would be tight around the waist," "the dress would look good on you," or "Maybe try M size."

## How to Use

1. Download or Clone the Repository

2. Run the dummy2.py File (Linux)

3. In case of windows,Modify the file paths in dummy2.py to be compatible with Windows.

 







## Limitations

- This is a demo prototype with limited functionality.

- Future improvements are planned to enhance the user experience.

## Contributing

We welcome contributions to improve this project. Please fork the repository and submit pull requests with your enhancements.

## License

This project is licensed under the MIT License.