Virtual_Dressing_room

[imazkazi]

Describe the bug

world toward AI

Link to the Bolt URL that caused the error

https://bolt.new/~/sb1-i6m2wp1o

Validations

• Please make your project public or accessible by URL. This will allow anyone trying to help you to easily reproduce the issue and provide assistance.

Steps to reproduce

Create a website similar to Hugging Face that provides a Virtual Dressing Room experience using AI. The website should have the following features:

Core Features:
Virtual Dressing AI:

Users can upload a full-body image or take a picture using their webcam.
Users can upload an outfit image (shirt, pants, dresses, etc.).
AI should process both images and generate a realistic preview of how the outfit will look on the user.
The output should be a high-quality combined image where the outfit is properly aligned with the user's body.
Authentication System:

Users must be able to Sign Up and Log In before accessing the virtual dressing feature.
Secure authentication using email/password or OAuth (Google, Facebook, GitHub, etc.).
Integration with Online Shopping Platforms:

Users should be able to browse outfits directly from an online shopping store.
Allow users to select an outfit from the shopping site and automatically load it into the Virtual Dressing AI.
Example shopping platforms: Amazon, Myntra, Flipkart, ASOS, etc.
AI Processing & API Integration:

The AI model should be fast and accurate in generating outfit previews.
Use the following APIs:
Hugging Face API: "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"
Replicate API: "r8_KGKsXuSqylvjmvZt4540dVgfcxh93eB2UZJpf"
The AI should handle background removal, outfit alignment, and blending to ensure a natural-looking result.
Image Display & User Experience:

The UI should display both uploaded images and the final generated image clearly.
Implement a before-after slider to compare the original user image and the AI-generated outfit preview.
Ensure images are properly cropped, aligned, and high resolution.
Tech Stack:

Frontend: Next.js (React) + Tailwind CSS
Backend: Node.js (Express) or Python (Flask/Django)
Database: Firebase / MongoDB / PostgreSQL
AI Processing: Hugging Face + Replicate APIs
Hosting: Vercel
Additional Features (Optional):

Allow users to save outfit previews to their profile.
Enable users to share their virtual try-on images on social media.
Implement a rating system for outfits based on AI accuracy.

Expected behavior

Create a website similar to Hugging Face that provides a Virtual Dressing Room experience using AI. The website should have the following features:

Core Features:
Virtual Dressing AI:

Users can upload a full-body image or take a picture using their webcam.
Users can upload an outfit image (shirt, pants, dresses, etc.).
AI should process both images and generate a realistic preview of how the outfit will look on the user.
The output should be a high-quality combined image where the outfit is properly aligned with the user's body.
Authentication System:

Users must be able to Sign Up and Log In before accessing the virtual dressing feature.
Secure authentication using email/password or OAuth (Google, Facebook, GitHub, etc.).
Integration with Online Shopping Platforms:

Users should be able to browse outfits directly from an online shopping store.
Allow users to select an outfit from the shopping site and automatically load it into the Virtual Dressing AI.
Example shopping platforms: Amazon, Myntra, Flipkart, ASOS, etc.
AI Processing & API Integration:

The AI model should be fast and accurate in generating outfit previews.
Use the following APIs:
Hugging Face API: "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"
Replicate API: "r8_KGKsXuSqylvjmvZt4540dVgfcxh93eB2UZJpf"
The AI should handle background removal, outfit alignment, and blending to ensure a natural-looking result.
Image Display & User Experience:

The UI should display both uploaded images and the final generated image clearly.
Implement a before-after slider to compare the original user image and the AI-generated outfit preview.
Ensure images are properly cropped, aligned, and high resolution.
Tech Stack:

Frontend: Next.js (React) + Tailwind CSS
Backend: Node.js (Express) or Python (Flask/Django)
Database: Firebase / MongoDB / PostgreSQL
AI Processing: Hugging Face + Replicate APIs
Hosting: Vercel
Additional Features (Optional):

Allow users to save outfit previews to their profile.
Enable users to share their virtual try-on images on social media.
Implement a rating system for outfits based on AI accuracy.

Screen Recording / Screenshot

Platform

Browser name = Chrome
Full version = 134.0.0.0
Major version = 134
navigator.appName = Netscape
navigator.userAgent = Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/134.0.0.0 Safari/537.36
performance.memory = {
  "totalJSHeapSize": 53843572,
  "usedJSHeapSize": 51254196,
  "jsHeapSizeLimit": 2248146944
}
Username = Imaz kazi
Chat ID = 97bb99f37390
Client version = 8405776
Server version = 8405776

Additional context

Additional Features (Optional):

Allow users to save outfit previews to their profile.
Enable users to share their virtual try-on images on social media.
Implement a rating system for outfits based on AI accuracy.