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@article{177756,
        author = {Sharmaatha N and Angel Ida Chellam J and Ahalya S and Mythili M},
        title = {AI Powered Virtual Dressing Room},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {2636-2640},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177756},
        abstract = {The Virtual Dressing Room is an interactive tool that allows users to virtually try on objects like necklaces, dresses, etc, using computer vision. Flask, OpenCV, and Python were used in its design. It takes pictures using a camera or uploaded images, and it recognizes face features using Haar cascades and Dlib's 68- point facial landmark detector. The accessories are then properly aligned and superimposed in real time to create a realistic virtual try-on experience. This technology enhances the online purchasing experience by providing a "try-before-you-buy" feature through an easy-to- use web interface. Image frames undergo backend processing and are returned as base64-encoded graphics to guarantee smooth and efficient interaction. The application provides a wide range of fashion accessories, is easy to integrate with e- commerce platforms, and is adaptable for future expansion.},
        keywords = {Facial Landmark Detection, Real Time Try On, E-Commerce, User Experience, Haar Cascades, Open CV, Computer Vision.},
        month = {May},
        }