SmartFashion_TryOn_Search_2025_pdf.pdf

This paper, developed as a final-year B.Tech project at DKTE's Textile & Engineering Institute, presents an intelligent system integrating virtual try-on and visual search functionalities to enhance online shopping experiences. Using augmented reality (AR) for real-time clothing visualization and deep learning for image-based product matching, the system achieves response times under 2 seconds, improving user engagement and reducing return rates. Implemented with Python, Flask, OpenCV, and TensorFlow, it offers a scalable solution for e-commerce platforms. Submitted for certificate purposes.