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 1 month 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 (10 months ago)
- Default Branch: main
- Last Pushed: 2024-09-01T23:56:55.000Z (8 months ago)
- Last Synced: 2025-01-27T12:14:19.903Z (3 months ago)
- Language: Python
- Homepage:
- Size: 5.89 MB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
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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.