AI Powered Virtual Styling Room by Chidinma Oham

AI Powered Virtual Styling Room

Chidinma Oham

Frontend Engineer

Fullstack Engineer

AI Developer

HTML5

JavaScript

Node.js

Overview: This project involved the development of a web application designed to enhance the online shopping experience by allowing users to virtually try on clothing. The platform uses deep learning algorithms and computer vision techniques to visualize how different outfits would look on a user in real-time.

On the left, the original image shows the customer wearing a red t-shirt, and below that, the selected black top is displayed. On the right, the generated image shows the customer now virtually wearing the black top.

Key Features and Technologies:

Virtual Try-On Feature:

Users can upload their images to virtually try on different clothing items and receive real-time feedback.

Deep Learning Integration:

The core functionality relies on a deep learning model, which analyzes and adapts the clothing items to fit the user's body shape and posture.

AI Model Integration via Replicate AI:

The AI model via Replicate API performs rapid processing of user-uploaded photos to ensure smooth and responsive interaction.

Technical Implementation:

User-Friendly Interface: The frontend was designed with simplicity and intuitiveness in mind, making it easy for users to navigate the app and interact with its various features.

AI-Powered Rendering: Behind the scenes, the application runs complex image processing tasks, analyzing the uploaded photos and adjusting the fit of clothing items in real time.

Full Web Deployment: The entire application was deployed on the web, making it accessible from any device. Server-side integration allows for smooth AI model processing, providing a fast and responsive user experience.

Cross-Browser Compatibility: The platform was designed to ensure compatibility across all major browsers and devices, offering users a seamless experience regardless of their preferred platform.

Impact: This project provides an engaging and efficient solution for e-commerce platforms looking to enhance customer interaction by offering a digital fitting room.

Technologies Used:

HTML, CSS, JavaScript

Node.js, Express.js

Deep Learning (AI Model Integration)

Replicate AI API

Image Processing & Computer Vision techniques

This project showcases the potential of AI in transforming online shopping experiences, merging convenience with innovation to create a futuristic approach to e-commerce.

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