Project Report

Abstract

Closet is an innovative AI-powered fashion assistant designed to enhance user experience in selecting outfits, hairstyles, makeup, and accessories. The platform integrates AI-driven virtual try-on features, customizable avatars, and personalized styling recommendations. With the rise of digital fashion solutions, Closet aims to bridge the gap by offering a seamless, interactive, and inclusive styling platform. 👚🎭

Problem Overview

Fashion enthusiasts often struggle with selecting the perfect outfit, accessories, and hairstyles that complement their style. Existing platforms offer isolated services such as outfit recommendations or virtual try-ons, but none provide a comprehensive, all-in-one styling assistant. Closet eliminates these challenges by consolidating multiple fashion services into a single AI-driven platform. Common pain points include:

• Lack of personalized outfit recommendations 👠

• Difficulty in visualizing outfits before purchasing 🛒

• Need for an all-in-one styling solution 💄

• Absence of inclusive fashion suggestions for all genders 🌈

App Engineering

Prospective Tech Stack

• Frontend: React.js for a dynamic user interface, React Native for mobile app development 📱.

• Backend: Node.js with Express.js for server-side logic.

• Database: MongoDB or PostgreSQL for structured and scalable data storage.

• AI Integration: Machine learning models for outfit and style recommendations 🧠.

• Cloud Hosting: AWS ☁️ or Vercel for efficient and scalable deployment.

Frontend

• Pages: Home 🏠, User Dashboard 📊, Virtual Try-On 🎭, Outfit Suggestions 👗, Custom Avatar Creator 👤, Hairstyle & Makeup Ideas 💄.

• UX: Focus on intuitive navigation, responsive design 📐, and engaging visuals to enhance user experience.

Backend

• Sort by Preferences: AI-powered sorting of outfits and accessories.

• User Registration: Secure authentication 🔒 and profile customization.

• AI Virtual Try-On: Real-time outfit visualization using uploaded images.

Database

Types of Data:

• Users: id, name, email, password 🔑

• Outfits: id, category, brand, color, price 🏷️

• Avatars: id, user_id, hairstyle, body type 🧑‍🎨

• Accessories: id, type, outfit_id 💍

Current Solutions

While there are various platforms addressing different aspects of fashion assistance, no single solution comprehensively covers all needs in one application. Existing options include:

1. Dresso-An online fashion platform that offers AI-driven outfit recommendations and virtual styling solutions.
   Dresso

2. StyleSnap-An AI-powered visual search tool by Amazon that helps users find fashion items by uploading images.
   StyleSnap

3. Zeekit-A virtual try-on technology that allows users to see how clothes will look on different body types before purchasing.
   Zeekit

Comparison

User Documentation Provided

• Detailed user guide 📖

• FAQs for troubleshooting common issues ❓

Future Improvements or Enhancements

• Expand AI capabilities for seasonal outfit suggestions 🍂❄️.

• Integrate voice-assisted outfit recommendations 🎙️.

Potential Risks or Areas for Further Attention

• Continuous AI model updates for improved styling suggestions 🔄.

• Scalability of the platform for a larger user base 📈.

Team Members 👥

• Alisha Kaur

• Ashish Yadav

• Mansha Soni

• Pranjal Pandey

• Vaishnavi Sagariya

Acknowledgment

We extend our heartfelt gratitude to our mentor Smaranjit Ghose for their invaluable guidance throughout this project. A special thanks to our team members for their dedication, collaborative spirit, and constructive feedback, which greatly shaped Closet. We also appreciate the open-source community for providing essential tools and resources. Lastly, we thank our families and friends for their unwavering support and motivation. ❤️