Image to SVG Converter using StarVector (FastAPI + GraphQL + HTML/JS)

This project is a full-stack web application that allows users to upload raster images (JPG/PNG), converts them into SVG vector graphics using the StarVector model, and returns the result through a GraphQL API. The application is built with:

• StarVector AI Model (via Hugging Face Transformers)
• FastAPI as the backend framework
• Strawberry GraphQL for API handling
• HTML, CSS, JavaScript frontend for user interaction

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Features

• Upload images via web interface
• Convert them into SVG using an AI model
• GraphQL mutation to process image
• SVG gallery to view/download converted results
• Secure file upload with image validation
• Optional caching and disk-saving of results

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Dependencies

• fastapi
• strawberry-graphql
• uvicorn
• Pillow
• transformers
• torch
• python-multipart (for file uploads)

Future Improvements

• Add user authentication

• Enable batch conversion

• Host on cloud (e.g., Render, Vercel, AWS)

• Add model progress feedback on frontend

  Author

Developed by Riddhi S Joshi AI-Powered Web Application for SVG Generation