Revolutionizing Fashion with AI Technology

JS Virtual Wardrobe combines cutting-edge artificial intelligence with fashion innovation to create the world's most advanced virtual try-on experience.

Trusted Users
Great Accuracy
Real-time Processing

AI-Powered Engine

Advanced Computer Vision

Our Mission

To democratize fashion by making virtual try-on technology accessible to everyone, anywhere. We believe that technology should enhance creativity, not replace it, and that every person deserves to feel confident in their style choices.

Vision

To create a world where everyone can explore their personal style without barriers, making fashion more accessible and sustainable.

Innovation

Pushing the boundaries of AI and computer vision to deliver the most realistic and accurate virtual try-on experiences.

Empowerment

Empowering individuals to make confident style choices and express their unique personality through fashion.

The Technology Behind JS Virtual Wardrobe

Our platform leverages state-of-the-art AI algorithms and computer vision techniques

Advanced AI Algorithms

Facial Landmark Detection

Precise 68-point facial landmark detection using dlib library for accurate accessory placement

Computer Vision

OpenCV-powered image processing for real-time face detection and feature analysis

Color Mapping

Intelligent color blending and lip segmentation for realistic makeup application

Real-time Processing

Experience instant results with our optimized algorithms that process images in milliseconds, not minutes.

Meet Our Team

JS Virtual Wardrobe is developed by passionate AI/ML researchers pursuing advanced studies in Computer Science

Jayneel

Jayneel

Master's in Computer Science, NC State University

Passionate about AI/ML technologies with expertise in computer vision and deep learning. Focuses on developing innovative solutions that bridge the gap between artificial intelligence and real-world applications.

Computer Vision
Machine Learning
AI Research
Python
Smiti

Smiti

Master's in Computer Science, NC State University

AI/ML enthusiast with a strong background in software engineering and neural networks. Specializes in creating user-centric applications that leverage cutting-edge artificial intelligence for enhanced user experiences.

Neural Networks
Deep Learning
Software Engineering
Flask

Our Academic Journey

As graduate students at NC State University, we're combining our academic research in AI/ML with practical applications in the fashion industry. JS Virtual Wardrobe represents our commitment to advancing computer vision technology while creating meaningful user experiences that solve real-world problems.

NC State University

Master's Degree

Computer Science