Create Three.js front end on video PNG and consolidate it with a ready Python back end

Front-End Integration & Deployment Requirements

The objective is to replace the current showroom on studio.giafashion.io with a new interactive front end based on a pre-rendered luxury showroom walkthrough.

Project Overview

•A 90-second rendered walkthrough video will be provided. The video itself does not need to be recreated. It's ready

• The video must be used as the primary front-end experience with transparent PNG overlays, like the reference implementation. The front end is Three.js

• Reference:

o https://geofashion-showroom.vercel.app/

https://geofashion-showroom.vercel.app/

Interactive Showroom

The video must become an interactive showroom where:

• Users can click on individual models and mannequins throughout the walkthrough.

• Each clickable model opens its dedicated window, allowing users to explore the corresponding fashion style, similar to the reference implementation.

• The experience should feel seamless, premium, and responsive.

Existing Website

Current website:

https://studio.giafashion.io/

Video for the PNG ready: https://drive.google.com/drive/folders/1wdP88NhcldkPOqXH67vYSpoyxW4FDO6v

The existing Babylon.js showroom will be completely replaced by the new video-based interface.

Components That Must Remain

The following functionality must be preserved:

• The LLM chat window must remain integrated, although its UI should be redesigned with a cleaner and more premium appearance.

• The existing **AI blog should remain functional. Its overall layout is good, but it should be visually refined where necessary. **

• The website footer should also be redesigned.

Backend Integration

The new front end must be fully integrated with the existing backend.

The backend is already completed in Python, and I will provide:

• Complete backend source code

• API documentation

• Supabase access

• DigitalOcean access

Your responsibility is to consolidate everything into a fully functional, production-ready application. Optional (I can pay some extra money for that) is to prompt the LLM (Open AI API) to images for the AI blog instead of using the current credit images from the original website Elle, Harper's bazaar etc. Now the prompt is just to write articles based on the scraped trends. That's a back end thing.

Deployment

The final solution must be:

• Fully integrated with the backend

• Tested

• Production-ready

• Deployed on studio.giafashion.io via DigitalOcean

All required credentials and access will be provided.

Timeline & Budget

• Deadline: 3 days (non-negotiable)

• Budget: USD 400 (non-negotiable)

Please only accept this project if you are confident, you can deliver the complete production-ready implementation within the specified budget and timeframe.