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title: Find It Or Create It
emoji: ๐Ÿ’ป
colorFrom: green
colorTo: pink
sdk: docker
pinned: false
short_description: AI-powered Indian fashion search & custom designer booking.

๐Ÿ‘— Find It or Create It โœ‚๏ธ โ€“ AI Fashion & Custom Stitching Platform | ๐ŸŒ Live Demo

๐Ÿง  Overview

Find It or Create It is an AI-based Indian traditional fashion website that helps people either find similar dresses online or get their outfit custom stitched by a professional fashion designer. It mainly focuses on Indian traditional wear like sarees, lehengas, kurtas, sherwanis, and other cultural outfits. As we all know, in India, every region has its own fashion style โ€” different types of embroidery, patterns, and designs. Because of this variety, itโ€™s sometimes hard for normal people or even software to identify the exact dress style. To solve this, our website allows users to upload a photo or enter a text description of an outfit. Using AI image and text similarity models, the system searches and shows similar results from Amazon, Flipkart, and Google Images. If users still canโ€™t find what they want, they can directly book a designer to create a similar outfit from scratch. This project is made only for portfolio and learning purposes, not for commercial use. It shows how AI and fashion design can work together in one platform.

๐ŸŽฏ Purpose

Indian traditional clothing is full of variety and culture. The same outfit can look completely different depending on which state it comes from โ€” for example, a saree from Tamil Nadu and one from West Bengal have very different designs. Because of this diversity, finding the right outfit online is difficult. Our goal is to make this easy by: Using AI to understand what kind of dress or pattern the user is looking for. Showing similar dresses from online stores. Giving an option to design it personally if the user doesnโ€™t find an exact match.

โš™๏ธ How the Website Works

๐Ÿ”น Step-by-Step Flow

1๏ธโƒฃ Upload or Type

User can upload an image or type a text description (like โ€œred embroidered lehengaโ€).

2๏ธโƒฃ AI Search

Our system uses SigLIP + FAISS model to understand the image or text and find similar fashion outfits.

3๏ธโƒฃ Show Results

If similar dresses are found, links to Amazon, Flipkart, and Google Images are shown. Users can open these links directly and check the dresses online.

4๏ธโƒฃ Custom Stitching

If users are not happy with the results, they can go for โ€œCustomize & Stitch.โ€ Here, they enter their name, contact, and measurements. Then the system automatically assigns a fashion designer to handle their order.

5๏ธโƒฃ Designer Work

Once assigned, the designer receives a message with all customer details and starts working on the design. After stitching is done, the outfit is sent to the customer.

๐Ÿค– Automatic Designer Assignment

Whenever a user books a designer, our system automatically sends the details to the next available designer.

This saves time and avoids manual coordination.

Example Message ๐Ÿ“ข New Task Assignment ๐Ÿ“ข

Hello Charlotte Davis,

Assigned Designer: Charlotte Davis (Employee ID: DES104)

A new customer request has been assigned to you automatically by our system.

--- ๐Ÿ‘ค Customer Details ---
Name: Hxxxx
Email: hxxxxi@gmail.com
Phone: 785xxxx21
Location: Hyderabad

--- ๐Ÿ“ Measurements ---
Chest: xx
Waist: xx
Shoulder: xx
Sleeve: xx
Selected Size: XS

--- ๐Ÿ›๏ธ Product Details ---
Search Query: Red Embroidered Pothys Poly Chiffon Lehenga Half Saree - Ladies' Lehenga for Special Occasions

--- ๐Ÿ†” Assignment Info ---
Task generated automatically by system bot.

If you have any queries, please reach out to Krish (Team Lead).

โšก Please proceed with this task at your earliest convenience.

Thank you! ๐Ÿ™Œ

๐Ÿ—บ๏ธ Roadmap (Website Flow)

๐Ÿฉต Find It Path

๐Ÿ‘ฉโ€๐Ÿ’ป Upload Image / Text โ†’ ๐Ÿค– AI Detects โ†’ ๐Ÿ” Similar Outfits Found โ†’ ๐Ÿ›๏ธ Redirect to Amazon / Flipkart / Google

๐Ÿ’œ Create It Path

๐Ÿ‘ฉโ€๐Ÿ’ป Upload Image / Text โ†’ ๐Ÿค– No Matches โ†’ โœ‚๏ธ Choose โ€œCustomize & Stitchโ€ โ†’ ๐Ÿงต Book Designer โ†’ ๐Ÿ‘— Get Custom Outfit

๐Ÿ–ผ๏ธ (A cartoon-style roadmap image can be added here to visually show both paths.)

๐Ÿงฎ Dataset Details

Used 10,000 sample data points (images and text).

To improve accuracy, more outfit data can be added.

The goal of this dataset is to show the working concept, not commercial accuracy.

๐Ÿงฐ Tech Stack

Layer Tools / Frameworks

Frontend HTML, CSS, JavaScript

Backend Flask (Python)

AI / Search FAISS, SigLIP

Image Optimization Pillow (PIL), Regex (for SVG minify)

Deployment Hugging Face Spaces

Data Storage JSON-based dataset

๐Ÿงต Features

This website brings together AI, fashion design, and usability in one place. Hereโ€™s what it currently supports:

โœ… Upload an image or type text to search for similar outfits

โœ… View matching products from Amazon, Flipkart, and Google

โœ… Book a designer for custom stitching if no match is found

โœ… Enter manual or automatic body measurements

โœ… Automatic assignment of designer based on workload

โœ… Optimized images (WebP, minified SVG) for faster loading

โœ… JSON-based output storage for clean backend data management

โœ… Fully functional and deployed on Hugging Face Spaces (Flask + Python)

โœ… End-to-end tested workflow โ€” from image upload to designer task assignment

๐Ÿง‘โ€๐ŸŽจ For Recruiters

This project is not a commercial website โ€” it is a portfolio project created to demonstrate strong technical and creative skills in AI, web development, and fashion workflow automation.

It shows how AI-powered search can be connected with real-world fashion customization to build an intelligent and user-friendly experience.

๐ŸŽฏ Key Achievements

โœ… Built an end-to-end multimodal search engine (text + image) completely from scratch

โœ… Integrated Google SigLIP (Vision Transformer) model for accurate imageโ€“text alignment

โœ… Implemented FAISS indexing for fast similarity search across 10,000+ embeddings

โœ… Developed the complete backend pipeline: preprocessing โ†’ embedding โ†’ indexing โ†’ search โ†’ deployment

โœ… Deployed securely using Docker and Hugging Face Spaces (Flask backend + AI model integration)

โœ… Handled secret credentials safely through environment variables (no public exposure)

โœ… Added automated designer assignment system using a JSON-based dataset

โœ… Optimized all static assets (WebP + SVG minification) to improve performance on free-tier hosting

โœ… Used JSON for structured data storage, ensuring easy debugging and lightweight processing

โœ… Designed clear backend logs for customer requests and designer task reports

โœ… Created optimized brand logo and visual assets to match website identity

โœ… Achieved 3โ€“5ร— faster loading speed through backend and image optimizations

โœ… Maintained a clear roadmap and detailed documentation for future improvements

๐Ÿ’ก Skills

๐Ÿ”น AI-based image and text similarity search

๐Ÿ”น Flask web application development and routing

๐Ÿ”น Dataset preparation, embedding, and FAISS indexing

๐Ÿ”น Frontend integration with Flask templates and routes

๐Ÿ”น Fashion design workflow automation and user experience planning

๐Ÿ”น Docker-based deployment and Hugging Face Space hosting

๐Ÿ“ง Email: [mdeepa7879@gmail.com]

๐Ÿ’ผ LinkedIn: https://www.linkedin.com/in/deepa-m-66536a208/

license: This project is strictly for educational and portfolio purposes only, not for copying or commercial use, and anyone interested in viewing or using it must contact the creator.