Submitted by: AICA Level2 Batch01
Kedar Pande, 126056; Kartikeya Shenoy, 237244; Harpreet Singh, 430211, Narasimhan Elangovan, 228470
"Step into the future of fashion with Tryvatar, your smart AI-powered virtual wardrobe. Upload your selfies, explore endless outfits, and instantly see how you look in styles from casual to couture. Whether it’s men’s or women’s fashion, Tryvatar personalizes your try-on experience, helps you track what you wore and when, and keeps your wardrobe organized.
No fitting rooms. No guesswork. Just smart, stylish, and seamless fashion at your fingertips."
Introduction
Step into the future of fashion with Tryvatar, an AI-powered virtual wardrobe designed to transform how individuals explore, experiment with, and manage their personal style. Tryvatar brings the convenience of virtual try-ons directly to users by allowing them to upload selfies and instantly visualize how they look in a wide variety of outfits—from everyday casual wear to high-end couture. With an intelligent and intuitive interface, the platform elevates fashion discovery and wardrobe management to a whole new level.
Problem Statement
In today’s fast-paced world, consumers often face challenges when selecting outfits, visualizing styles on themselves, and keeping track of their wardrobe. Traditional shopping methods require physical fitting rooms, which are time-consuming and often uncomfortable. Online shopping, while convenient, lacks accurate visualization, leading to dissatisfaction and high return rates. Additionally, users struggle to remember what they wore on specific occasions and to maintain an organized wardrobe. This reveals a clear need for a personalized, smart, and seamless solution that bridges these gaps.
Objectives
To provide a realistic AI-powered virtual try-on experience using user selfies.
To simplify fashion decision-making by previewing outfits before buying or wearing.
To create a digital wardrobe system that organizes outfits and tracks usage over time.
To recommend clothing styles based on user preferences, body type, and previous selections.
To reduce the dependency on physical fitting rooms and minimize guesswork in fashion choices.
Technology Used
AI & ML Models: Computer vision, pose detection, virtual garment draping models.
Image Processing: Generative AI, neural rendering, segmentation models.
Backend Technology: Python, Node.js, cloud-based storage.
Frontend Technology: React Native / Flutter for mobile, React/Next.js for web.
Database: Firebase, MongoDB, or PostgreSQL.
Cloud Services: AWS / Google Cloud / Azure for scalable processing.
Analytics: Built-in user behavior analytics and recommendation algorithms.
Methodology
User Capture:
Users upload selfies, which are processed using AI-powered body and pose detection.
Garment Mapping & Rendering:
The system applies selected outfits onto the user's image using generative AI to create realistic visuals.
Virtual Wardrobe Management:
Users can upload or import their clothing items, which are tagged, categorized, and stored digitally.
Style Recommendation Engine:
Machine learning models suggest outfits based on user history, upcoming events, weather, and preferences.
Wardrobe Tracking:
Each time an outfit is chosen, the system logs the date, event, and usage to avoid outfit repetition.
Testing & Optimization:
Continuous improvements in rendering quality, speed, and recommendation accuracy.
Expected Outcomes
A seamless, realistic virtual try-on experience that enhances user confidence.
Reduced shopping errors and fewer online clothing returns.
Improved personal organization through a digital, trackable wardrobe.
Personalized fashion insights and style recommendations.
Increased user engagement through interactive and smart fashion tools.
Conclusion
Tryvatar redefines the fashion experience by blending advanced AI technology with everyday styling needs. It eliminates the limitations of traditional fitting rooms, minimizes uncertainty in fashion choices, and provides an organized, intelligent wardrobe system. With its innovative features and user-centric design, Tryvatar positions itself as the future of smart fashion—delivering convenience, style, and confidence at the user’s fingertips.