@outfitopia

Outfitopia

Submission for Flipkart GRID 5.0
README.md

Outfitopia

Hackathon Submission: Outfitopia - Revolutionizing Personalized Fashion with Gen AI

Introduction

Outfitopia is a groundbreaking Gen AI-powered fashion outfit generator that redefines the way users discover and curate personalized fashion ensembles through natural conversational interactions. Developed exclusively for Flipkart, Outfitopia leverages users' historical purchase data, preferences gleaned from browsing habits, and real-time insights from social media trends to provide tailor-made, on-trend outfit recommendations.

Product Description

Outfitopia emerges as a trailblazing solution in the realm of fashion technology. It combines the power of artificial intelligence and fashion expertise to create a seamless shopping experience that resonates with individual users. By employing a state-of-the-art Gen AI algorithm, Outfitopia generates outfits through stable diffusion, boasting innovative properties such as upscaling, reload, and regenerate, ensuring that each recommendation is both relevant and innovative.

Key Features

  1. Gen AI-Based Outfit Generation: Outfitopia's core functionality lies in its Gen AI-powered outfit generation. This process, built on the principles of stable diffusion, ensures that the generated outfits not only match users' preferences but also offer a creative twist that aligns with current fashion trends. The algorithm's unique upscaling, reload, and regenerate properties enhance the variety and freshness of recommendations.

  2. Outfit Modifications on the Fly: Outfitopia takes personalization to a new level by enabling users to make modifications and changes to generated outfits through natural language. Users can request alterations to specific clothing items, colors, styles, or even entire outfit combinations. The AI responds intelligently, offering alternatives and adjustments based on user input.

  3. Outfit Recommender: Complementing the outfit generator is the outfit recommender, which curates product recommendations based on the generated outfits. This synergy between generation and recommendation provides users with a holistic shopping experience, making it effortless to translate inspiration into a tangible wardrobe.

  4. Authentication and Billing Services: Outfitopia prioritizes user security and convenience. Authentication is facilitated through Google Auth, ensuring that user data remains safeguarded. Furthermore, seamless payment transactions are enabled by Stripe, offering a secure and efficient billing process.

  5. Deep Fashion Database: The foundation of Outfitopia's AI prowess is the utilization of a comprehensive Deep Fashion Database. This database is harnessed for training the AI model, enabling it to understand intricate fashion nuances, styles, and trends.

  6. Vogue Fashion Trends Integration: Keeping pace with the dynamic nature of fashion, Outfitopia incorporates Vogue fashion trends to stay abreast of the latest style evolutions. This integration ensures that recommendations are not just relevant but also aligned with the most current fashion sensibilities.

High level architecture

Conclusion

Outfitopia marks a pivotal turning point in fashion e-commerce. By seamlessly fusing cutting-edge technology, fashion expertise, and user-centric design, it delivers a personalized shopping experience that transcends traditional boundaries. With its Gen AI-powered outfit generation, outfit recommender, robust authentication and billing services, and integration with reputable fashion sources like Vogue, Outfitopia is poised to revolutionize the way users engage with fashion, making every shopping journey a memorable and tailored experience.

We look forward to the opportunity to showcase Outfitopia's capabilities and innovation in the hackathon, and we're excited about the potential for this product to shape the future of fashion e-commerce.

Team OutfitopiaHarshpreet Singh JoharAbhinav RawalManjot Singh Oberoi

Pinned Loading

  1. uiuiPublic

    User interface of the Outfitopia platform

    TypeScript 1

  2. modelmodelPublic

    GEN AI model for fashion image generation, deployed on huggingface and exposed using API

    Jupyter Notebook 1

  3. web-scraperweb-scraperPublic

    Scraping Vogue trends and feeding the GEN AI model

    JavaScript

  4. image-recommenderimage-recommenderPublic

    Recommends products based on generated images by GEN AI model. Works on CNN.

    Python

Repositories

Showing 5 of 5 repositories

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
@outfitopia

Outfitopia

Submission for Flipkart GRID 5.0
README.md
Outfitopia
Hackathon Submission: Outfitopia - Revolutionizing Personalized Fashion with Gen AI
Introduction
Outfitopia is a groundbreaking Gen AI-powered fashion outfit generator that redefines the way users discover and curate personalized fashion ensembles through natural conversational interactions. Developed exclusively for Flipkart, Outfitopia leverages users' historical purchase data, preferences gleaned from browsing habits, and real-time insights from social media trends to provide tailor-made, on-trend outfit recommendations.
Product Description
Outfitopia emerges as a trailblazing solution in the realm of fashion technology. It combines the power of artificial intelligence and fashion expertise to create a seamless shopping experience that resonates with individual users. By employing a state-of-the-art Gen AI algorithm, Outfitopia generates outfits through stable diffusion, boasting innovative properties such as upscaling, reload, and regenerate, ensuring that each recommendation is both relevant and innovative.
Key Features
  1. Gen AI-Based Outfit Generation: Outfitopia's core functionality lies in its Gen AI-powered outfit generation. This process, built on the principles of stable diffusion, ensures that the generated outfits not only match users' preferences but also offer a creative twist that aligns with current fashion trends. The algorithm's unique upscaling, reload, and regenerate properties enhance the variety and freshness of recommendations.
  2. Outfit Modifications on the Fly: Outfitopia takes personalization to a new level by enabling users to make modifications and changes to generated outfits through natural language. Users can request alterations to specific clothing items, colors, styles, or even entire outfit combinations. The AI responds intelligently, offering alternatives and adjustments based on user input.
  3. Outfit Recommender: Complementing the outfit generator is the outfit recommender, which curates product recommendations based on the generated outfits. This synergy between generation and recommendation provides users with a holistic shopping experience, making it effortless to translate inspiration into a tangible wardrobe.
  4. Authentication and Billing Services: Outfitopia prioritizes user security and convenience. Authentication is facilitated through Google Auth, ensuring that user data remains safeguarded. Furthermore, seamless payment transactions are enabled by Stripe, offering a secure and efficient billing process.
  5. Deep Fashion Database: The foundation of Outfitopia's AI prowess is the utilization of a comprehensive Deep Fashion Database. This database is harnessed for training the AI model, enabling it to understand intricate fashion nuances, styles, and trends.
  6. Vogue Fashion Trends Integration: Keeping pace with the dynamic nature of fashion, Outfitopia incorporates Vogue fashion trends to stay abreast of the latest style evolutions. This integration ensures that recommendations are not just relevant but also aligned with the most current fashion sensibilities.
High level architecture
Conclusion
Outfitopia marks a pivotal turning point in fashion e-commerce. By seamlessly fusing cutting-edge technology, fashion expertise, and user-centric design, it delivers a personalized shopping experience that transcends traditional boundaries. With its Gen AI-powered outfit generation, outfit recommender, robust authentication and billing services, and integration with reputable fashion sources like Vogue, Outfitopia is poised to revolutionize the way users engage with fashion, making every shopping journey a memorable and tailored experience.
We look forward to the opportunity to showcase Outfitopia's capabilities and innovation in the hackathon, and we're excited about the potential for this product to shape the future of fashion e-commerce.
Team OutfitopiaHarshpreet Singh JoharAbhinav RawalManjot Singh Oberoi

Pinned
Loading
  1. uiuiPublic
    
User interface of the Outfitopia platform

    TypeScript
1

  2. modelmodelPublic
    
GEN AI model for fashion image generation, deployed on huggingface and exposed using API

    Jupyter Notebook
1

  3. web-scraperweb-scraperPublic
    
Scraping Vogue trends and feeding the GEN AI model

    JavaScript
  4. image-recommenderimage-recommenderPublic
    
Recommends products based on generated images by GEN AI model. Works on CNN.

    Python

Repositories

Showing 5 of 5 repositories
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
@outfitopia

Outfitopia

Submission for Flipkart GRID 5.0
README.md
Outfitopia
Hackathon Submission: Outfitopia - Revolutionizing Personalized Fashion with Gen AI
Introduction
Outfitopia is a groundbreaking Gen AI-powered fashion outfit generator that redefines the way users discover and curate personalized fashion ensembles through natural conversational interactions. Developed exclusively for Flipkart, Outfitopia leverages users' historical purchase data, preferences gleaned from browsing habits, and real-time insights from social media trends to provide tailor-made, on-trend outfit recommendations.
Product Description
Outfitopia emerges as a trailblazing solution in the realm of fashion technology. It combines the power of artificial intelligence and fashion expertise to create a seamless shopping experience that resonates with individual users. By employing a state-of-the-art Gen AI algorithm, Outfitopia generates outfits through stable diffusion, boasting innovative properties such as upscaling, reload, and regenerate, ensuring that each recommendation is both relevant and innovative.
Key Features
  1. Gen AI-Based Outfit Generation: Outfitopia's core functionality lies in its Gen AI-powered outfit generation. This process, built on the principles of stable diffusion, ensures that the generated outfits not only match users' preferences but also offer a creative twist that aligns with current fashion trends. The algorithm's unique upscaling, reload, and regenerate properties enhance the variety and freshness of recommendations.
  2. Outfit Modifications on the Fly: Outfitopia takes personalization to a new level by enabling users to make modifications and changes to generated outfits through natural language. Users can request alterations to specific clothing items, colors, styles, or even entire outfit combinations. The AI responds intelligently, offering alternatives and adjustments based on user input.
  3. Outfit Recommender: Complementing the outfit generator is the outfit recommender, which curates product recommendations based on the generated outfits. This synergy between generation and recommendation provides users with a holistic shopping experience, making it effortless to translate inspiration into a tangible wardrobe.
  4. Authentication and Billing Services: Outfitopia prioritizes user security and convenience. Authentication is facilitated through Google Auth, ensuring that user data remains safeguarded. Furthermore, seamless payment transactions are enabled by Stripe, offering a secure and efficient billing process.
  5. Deep Fashion Database: The foundation of Outfitopia's AI prowess is the utilization of a comprehensive Deep Fashion Database. This database is harnessed for training the AI model, enabling it to understand intricate fashion nuances, styles, and trends.
  6. Vogue Fashion Trends Integration: Keeping pace with the dynamic nature of fashion, Outfitopia incorporates Vogue fashion trends to stay abreast of the latest style evolutions. This integration ensures that recommendations are not just relevant but also aligned with the most current fashion sensibilities.
High level architecture
Conclusion
Outfitopia marks a pivotal turning point in fashion e-commerce. By seamlessly fusing cutting-edge technology, fashion expertise, and user-centric design, it delivers a personalized shopping experience that transcends traditional boundaries. With its Gen AI-powered outfit generation, outfit recommender, robust authentication and billing services, and integration with reputable fashion sources like Vogue, Outfitopia is poised to revolutionize the way users engage with fashion, making every shopping journey a memorable and tailored experience.
We look forward to the opportunity to showcase Outfitopia's capabilities and innovation in the hackathon, and we're excited about the potential for this product to shape the future of fashion e-commerce.
Team OutfitopiaHarshpreet Singh JoharAbhinav RawalManjot Singh Oberoi

Pinned
Loading
  1. uiuiPublic
    
User interface of the Outfitopia platform

    TypeScript
1

  2. modelmodelPublic
    
GEN AI model for fashion image generation, deployed on huggingface and exposed using API

    Jupyter Notebook
1

  3. web-scraperweb-scraperPublic
    
Scraping Vogue trends and feeding the GEN AI model

    JavaScript
  4. image-recommenderimage-recommenderPublic
    
Recommends products based on generated images by GEN AI model. Works on CNN.

    Python

Repositories

Showing 5 of 5 repositories
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
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} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
@outfitopia

Outfitopia

Submission for Flipkart GRID 5.0
README.md
Outfitopia
Hackathon Submission: Outfitopia - Revolutionizing Personalized Fashion with Gen AI
Introduction
Outfitopia is a groundbreaking Gen AI-powered fashion outfit generator that redefines the way users discover and curate personalized fashion ensembles through natural conversational interactions. Developed exclusively for Flipkart, Outfitopia leverages users' historical purchase data, preferences gleaned from browsing habits, and real-time insights from social media trends to provide tailor-made, on-trend outfit recommendations.
Product Description
Outfitopia emerges as a trailblazing solution in the realm of fashion technology. It combines the power of artificial intelligence and fashion expertise to create a seamless shopping experience that resonates with individual users. By employing a state-of-the-art Gen AI algorithm, Outfitopia generates outfits through stable diffusion, boasting innovative properties such as upscaling, reload, and regenerate, ensuring that each recommendation is both relevant and innovative.
Key Features
  1. Gen AI-Based Outfit Generation: Outfitopia's core functionality lies in its Gen AI-powered outfit generation. This process, built on the principles of stable diffusion, ensures that the generated outfits not only match users' preferences but also offer a creative twist that aligns with current fashion trends. The algorithm's unique upscaling, reload, and regenerate properties enhance the variety and freshness of recommendations.
  2. Outfit Modifications on the Fly: Outfitopia takes personalization to a new level by enabling users to make modifications and changes to generated outfits through natural language. Users can request alterations to specific clothing items, colors, styles, or even entire outfit combinations. The AI responds intelligently, offering alternatives and adjustments based on user input.
  3. Outfit Recommender: Complementing the outfit generator is the outfit recommender, which curates product recommendations based on the generated outfits. This synergy between generation and recommendation provides users with a holistic shopping experience, making it effortless to translate inspiration into a tangible wardrobe.
  4. Authentication and Billing Services: Outfitopia prioritizes user security and convenience. Authentication is facilitated through Google Auth, ensuring that user data remains safeguarded. Furthermore, seamless payment transactions are enabled by Stripe, offering a secure and efficient billing process.
  5. Deep Fashion Database: The foundation of Outfitopia's AI prowess is the utilization of a comprehensive Deep Fashion Database. This database is harnessed for training the AI model, enabling it to understand intricate fashion nuances, styles, and trends.
  6. Vogue Fashion Trends Integration: Keeping pace with the dynamic nature of fashion, Outfitopia incorporates Vogue fashion trends to stay abreast of the latest style evolutions. This integration ensures that recommendations are not just relevant but also aligned with the most current fashion sensibilities.
High level architecture
Conclusion
Outfitopia marks a pivotal turning point in fashion e-commerce. By seamlessly fusing cutting-edge technology, fashion expertise, and user-centric design, it delivers a personalized shopping experience that transcends traditional boundaries. With its Gen AI-powered outfit generation, outfit recommender, robust authentication and billing services, and integration with reputable fashion sources like Vogue, Outfitopia is poised to revolutionize the way users engage with fashion, making every shopping journey a memorable and tailored experience.
We look forward to the opportunity to showcase Outfitopia's capabilities and innovation in the hackathon, and we're excited about the potential for this product to shape the future of fashion e-commerce.
Team OutfitopiaHarshpreet Singh JoharAbhinav RawalManjot Singh Oberoi

Pinned
Loading
  1. uiuiPublic
    
User interface of the Outfitopia platform

    TypeScript
1

  2. modelmodelPublic
    
GEN AI model for fashion image generation, deployed on huggingface and exposed using API

    Jupyter Notebook
1

  3. web-scraperweb-scraperPublic
    
Scraping Vogue trends and feeding the GEN AI model

    JavaScript
  4. image-recommenderimage-recommenderPublic
    
Recommends products based on generated images by GEN AI model. Works on CNN.

    Python

Repositories

Showing 5 of 5 repositories
Top languages
Loading…
Most used topics
Loading…

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
@outfitopia

Outfitopia

Submission for Flipkart GRID 5.0
README.md
Outfitopia
Hackathon Submission: Outfitopia - Revolutionizing Personalized Fashion with Gen AI
Introduction
Outfitopia is a groundbreaking Gen AI-powered fashion outfit generator that redefines the way users discover and curate personalized fashion ensembles through natural conversational interactions. Developed exclusively for Flipkart, Outfitopia leverages users' historical purchase data, preferences gleaned from browsing habits, and real-time insights from social media trends to provide tailor-made, on-trend outfit recommendations.
Product Description
Outfitopia emerges as a trailblazing solution in the realm of fashion technology. It combines the power of artificial intelligence and fashion expertise to create a seamless shopping experience that resonates with individual users. By employing a state-of-the-art Gen AI algorithm, Outfitopia generates outfits through stable diffusion, boasting innovative properties such as upscaling, reload, and regenerate, ensuring that each recommendation is both relevant and innovative.
Key Features
  1. Gen AI-Based Outfit Generation: Outfitopia's core functionality lies in its Gen AI-powered outfit generation. This process, built on the principles of stable diffusion, ensures that the generated outfits not only match users' preferences but also offer a creative twist that aligns with current fashion trends. The algorithm's unique upscaling, reload, and regenerate properties enhance the variety and freshness of recommendations.
  2. Outfit Modifications on the Fly: Outfitopia takes personalization to a new level by enabling users to make modifications and changes to generated outfits through natural language. Users can request alterations to specific clothing items, colors, styles, or even entire outfit combinations. The AI responds intelligently, offering alternatives and adjustments based on user input.
  3. Outfit Recommender: Complementing the outfit generator is the outfit recommender, which curates product recommendations based on the generated outfits. This synergy between generation and recommendation provides users with a holistic shopping experience, making it effortless to translate inspiration into a tangible wardrobe.
  4. Authentication and Billing Services: Outfitopia prioritizes user security and convenience. Authentication is facilitated through Google Auth, ensuring that user data remains safeguarded. Furthermore, seamless payment transactions are enabled by Stripe, offering a secure and efficient billing process.
  5. Deep Fashion Database: The foundation of Outfitopia's AI prowess is the utilization of a comprehensive Deep Fashion Database. This database is harnessed for training the AI model, enabling it to understand intricate fashion nuances, styles, and trends.
  6. Vogue Fashion Trends Integration: Keeping pace with the dynamic nature of fashion, Outfitopia incorporates Vogue fashion trends to stay abreast of the latest style evolutions. This integration ensures that recommendations are not just relevant but also aligned with the most current fashion sensibilities.
High level architecture
Conclusion
Outfitopia marks a pivotal turning point in fashion e-commerce. By seamlessly fusing cutting-edge technology, fashion expertise, and user-centric design, it delivers a personalized shopping experience that transcends traditional boundaries. With its Gen AI-powered outfit generation, outfit recommender, robust authentication and billing services, and integration with reputable fashion sources like Vogue, Outfitopia is poised to revolutionize the way users engage with fashion, making every shopping journey a memorable and tailored experience.
We look forward to the opportunity to showcase Outfitopia's capabilities and innovation in the hackathon, and we're excited about the potential for this product to shape the future of fashion e-commerce.
Team OutfitopiaHarshpreet Singh JoharAbhinav RawalManjot Singh Oberoi

Pinned
Loading
  1. uiuiPublic
    
User interface of the Outfitopia platform

    TypeScript
1

  2. modelmodelPublic
    
GEN AI model for fashion image generation, deployed on huggingface and exposed using API

    Jupyter Notebook
1

  3. web-scraperweb-scraperPublic
    
Scraping Vogue trends and feeding the GEN AI model

    JavaScript
  4. image-recommenderimage-recommenderPublic
    
Recommends products based on generated images by GEN AI model. Works on CNN.

    Python

Repositories

Showing 5 of 5 repositories
Top languages
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Most used topics
Loading…

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
@outfitopia

Outfitopia

Submission for Flipkart GRID 5.0
README.md
Outfitopia
Hackathon Submission: Outfitopia - Revolutionizing Personalized Fashion with Gen AI
Introduction
Outfitopia is a groundbreaking Gen AI-powered fashion outfit generator that redefines the way users discover and curate personalized fashion ensembles through natural conversational interactions. Developed exclusively for Flipkart, Outfitopia leverages users' historical purchase data, preferences gleaned from browsing habits, and real-time insights from social media trends to provide tailor-made, on-trend outfit recommendations.
Product Description
Outfitopia emerges as a trailblazing solution in the realm of fashion technology. It combines the power of artificial intelligence and fashion expertise to create a seamless shopping experience that resonates with individual users. By employing a state-of-the-art Gen AI algorithm, Outfitopia generates outfits through stable diffusion, boasting innovative properties such as upscaling, reload, and regenerate, ensuring that each recommendation is both relevant and innovative.
Key Features
  1. Gen AI-Based Outfit Generation: Outfitopia's core functionality lies in its Gen AI-powered outfit generation. This process, built on the principles of stable diffusion, ensures that the generated outfits not only match users' preferences but also offer a creative twist that aligns with current fashion trends. The algorithm's unique upscaling, reload, and regenerate properties enhance the variety and freshness of recommendations.
  2. Outfit Modifications on the Fly: Outfitopia takes personalization to a new level by enabling users to make modifications and changes to generated outfits through natural language. Users can request alterations to specific clothing items, colors, styles, or even entire outfit combinations. The AI responds intelligently, offering alternatives and adjustments based on user input.
  3. Outfit Recommender: Complementing the outfit generator is the outfit recommender, which curates product recommendations based on the generated outfits. This synergy between generation and recommendation provides users with a holistic shopping experience, making it effortless to translate inspiration into a tangible wardrobe.
  4. Authentication and Billing Services: Outfitopia prioritizes user security and convenience. Authentication is facilitated through Google Auth, ensuring that user data remains safeguarded. Furthermore, seamless payment transactions are enabled by Stripe, offering a secure and efficient billing process.
  5. Deep Fashion Database: The foundation of Outfitopia's AI prowess is the utilization of a comprehensive Deep Fashion Database. This database is harnessed for training the AI model, enabling it to understand intricate fashion nuances, styles, and trends.
  6. Vogue Fashion Trends Integration: Keeping pace with the dynamic nature of fashion, Outfitopia incorporates Vogue fashion trends to stay abreast of the latest style evolutions. This integration ensures that recommendations are not just relevant but also aligned with the most current fashion sensibilities.
High level architecture
Conclusion
Outfitopia marks a pivotal turning point in fashion e-commerce. By seamlessly fusing cutting-edge technology, fashion expertise, and user-centric design, it delivers a personalized shopping experience that transcends traditional boundaries. With its Gen AI-powered outfit generation, outfit recommender, robust authentication and billing services, and integration with reputable fashion sources like Vogue, Outfitopia is poised to revolutionize the way users engage with fashion, making every shopping journey a memorable and tailored experience.
We look forward to the opportunity to showcase Outfitopia's capabilities and innovation in the hackathon, and we're excited about the potential for this product to shape the future of fashion e-commerce.
Team OutfitopiaHarshpreet Singh JoharAbhinav RawalManjot Singh Oberoi

Pinned
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  1. uiuiPublic
    
User interface of the Outfitopia platform

    TypeScript
1

  2. modelmodelPublic
    
GEN AI model for fashion image generation, deployed on huggingface and exposed using API

    Jupyter Notebook
1

  3. web-scraperweb-scraperPublic
    
Scraping Vogue trends and feeding the GEN AI model

    JavaScript
  4. image-recommenderimage-recommenderPublic
    
Recommends products based on generated images by GEN AI model. Works on CNN.

    Python

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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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@outfitopia

Outfitopia

Submission for Flipkart GRID 5.0
README.md
Outfitopia
Hackathon Submission: Outfitopia - Revolutionizing Personalized Fashion with Gen AI
Introduction
Outfitopia is a groundbreaking Gen AI-powered fashion outfit generator that redefines the way users discover and curate personalized fashion ensembles through natural conversational interactions. Developed exclusively for Flipkart, Outfitopia leverages users' historical purchase data, preferences gleaned from browsing habits, and real-time insights from social media trends to provide tailor-made, on-trend outfit recommendations.
Product Description
Outfitopia emerges as a trailblazing solution in the realm of fashion technology. It combines the power of artificial intelligence and fashion expertise to create a seamless shopping experience that resonates with individual users. By employing a state-of-the-art Gen AI algorithm, Outfitopia generates outfits through stable diffusion, boasting innovative properties such as upscaling, reload, and regenerate, ensuring that each recommendation is both relevant and innovative.
Key Features
  1. Gen AI-Based Outfit Generation: Outfitopia's core functionality lies in its Gen AI-powered outfit generation. This process, built on the principles of stable diffusion, ensures that the generated outfits not only match users' preferences but also offer a creative twist that aligns with current fashion trends. The algorithm's unique upscaling, reload, and regenerate properties enhance the variety and freshness of recommendations.
  2. Outfit Modifications on the Fly: Outfitopia takes personalization to a new level by enabling users to make modifications and changes to generated outfits through natural language. Users can request alterations to specific clothing items, colors, styles, or even entire outfit combinations. The AI responds intelligently, offering alternatives and adjustments based on user input.
  3. Outfit Recommender: Complementing the outfit generator is the outfit recommender, which curates product recommendations based on the generated outfits. This synergy between generation and recommendation provides users with a holistic shopping experience, making it effortless to translate inspiration into a tangible wardrobe.
  4. Authentication and Billing Services: Outfitopia prioritizes user security and convenience. Authentication is facilitated through Google Auth, ensuring that user data remains safeguarded. Furthermore, seamless payment transactions are enabled by Stripe, offering a secure and efficient billing process.
  5. Deep Fashion Database: The foundation of Outfitopia's AI prowess is the utilization of a comprehensive Deep Fashion Database. This database is harnessed for training the AI model, enabling it to understand intricate fashion nuances, styles, and trends.
  6. Vogue Fashion Trends Integration: Keeping pace with the dynamic nature of fashion, Outfitopia incorporates Vogue fashion trends to stay abreast of the latest style evolutions. This integration ensures that recommendations are not just relevant but also aligned with the most current fashion sensibilities.
High level architecture
Conclusion
Outfitopia marks a pivotal turning point in fashion e-commerce. By seamlessly fusing cutting-edge technology, fashion expertise, and user-centric design, it delivers a personalized shopping experience that transcends traditional boundaries. With its Gen AI-powered outfit generation, outfit recommender, robust authentication and billing services, and integration with reputable fashion sources like Vogue, Outfitopia is poised to revolutionize the way users engage with fashion, making every shopping journey a memorable and tailored experience.
We look forward to the opportunity to showcase Outfitopia's capabilities and innovation in the hackathon, and we're excited about the potential for this product to shape the future of fashion e-commerce.
Team OutfitopiaHarshpreet Singh JoharAbhinav RawalManjot Singh Oberoi

Pinned
Loading
  1. uiuiPublic
    
User interface of the Outfitopia platform

    TypeScript
1

  2. modelmodelPublic
    
GEN AI model for fashion image generation, deployed on huggingface and exposed using API

    Jupyter Notebook
1

  3. web-scraperweb-scraperPublic
    
Scraping Vogue trends and feeding the GEN AI model

    JavaScript
  4. image-recommenderimage-recommenderPublic
    
Recommends products based on generated images by GEN AI model. Works on CNN.

    Python

Repositories

Showing 5 of 5 repositories
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
@outfitopia

Outfitopia

Submission for Flipkart GRID 5.0
README.md
Outfitopia
Hackathon Submission: Outfitopia - Revolutionizing Personalized Fashion with Gen AI
Introduction
Outfitopia is a groundbreaking Gen AI-powered fashion outfit generator that redefines the way users discover and curate personalized fashion ensembles through natural conversational interactions. Developed exclusively for Flipkart, Outfitopia leverages users' historical purchase data, preferences gleaned from browsing habits, and real-time insights from social media trends to provide tailor-made, on-trend outfit recommendations.
Product Description
Outfitopia emerges as a trailblazing solution in the realm of fashion technology. It combines the power of artificial intelligence and fashion expertise to create a seamless shopping experience that resonates with individual users. By employing a state-of-the-art Gen AI algorithm, Outfitopia generates outfits through stable diffusion, boasting innovative properties such as upscaling, reload, and regenerate, ensuring that each recommendation is both relevant and innovative.
Key Features
  1. Gen AI-Based Outfit Generation: Outfitopia's core functionality lies in its Gen AI-powered outfit generation. This process, built on the principles of stable diffusion, ensures that the generated outfits not only match users' preferences but also offer a creative twist that aligns with current fashion trends. The algorithm's unique upscaling, reload, and regenerate properties enhance the variety and freshness of recommendations.
  2. Outfit Modifications on the Fly: Outfitopia takes personalization to a new level by enabling users to make modifications and changes to generated outfits through natural language. Users can request alterations to specific clothing items, colors, styles, or even entire outfit combinations. The AI responds intelligently, offering alternatives and adjustments based on user input.
  3. Outfit Recommender: Complementing the outfit generator is the outfit recommender, which curates product recommendations based on the generated outfits. This synergy between generation and recommendation provides users with a holistic shopping experience, making it effortless to translate inspiration into a tangible wardrobe.
  4. Authentication and Billing Services: Outfitopia prioritizes user security and convenience. Authentication is facilitated through Google Auth, ensuring that user data remains safeguarded. Furthermore, seamless payment transactions are enabled by Stripe, offering a secure and efficient billing process.
  5. Deep Fashion Database: The foundation of Outfitopia's AI prowess is the utilization of a comprehensive Deep Fashion Database. This database is harnessed for training the AI model, enabling it to understand intricate fashion nuances, styles, and trends.
  6. Vogue Fashion Trends Integration: Keeping pace with the dynamic nature of fashion, Outfitopia incorporates Vogue fashion trends to stay abreast of the latest style evolutions. This integration ensures that recommendations are not just relevant but also aligned with the most current fashion sensibilities.
High level architecture
Conclusion
Outfitopia marks a pivotal turning point in fashion e-commerce. By seamlessly fusing cutting-edge technology, fashion expertise, and user-centric design, it delivers a personalized shopping experience that transcends traditional boundaries. With its Gen AI-powered outfit generation, outfit recommender, robust authentication and billing services, and integration with reputable fashion sources like Vogue, Outfitopia is poised to revolutionize the way users engage with fashion, making every shopping journey a memorable and tailored experience.
We look forward to the opportunity to showcase Outfitopia's capabilities and innovation in the hackathon, and we're excited about the potential for this product to shape the future of fashion e-commerce.
Team OutfitopiaHarshpreet Singh JoharAbhinav RawalManjot Singh Oberoi

Pinned
Loading
  1. uiuiPublic
    
User interface of the Outfitopia platform

    TypeScript
1

  2. modelmodelPublic
    
GEN AI model for fashion image generation, deployed on huggingface and exposed using API

    Jupyter Notebook
1

  3. web-scraperweb-scraperPublic
    
Scraping Vogue trends and feeding the GEN AI model

    JavaScript
  4. image-recommenderimage-recommenderPublic
    
Recommends products based on generated images by GEN AI model. Works on CNN.

    Python

Repositories

Showing 5 of 5 repositories
Top languages
Loading…
Most used topics
Loading…