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@article{174508,
        author = {Siddhi Kollurmath and Sharvary Gore and Isha Hulgeri and Krutika Patil and Prof. Devyani Bonde},
        title = {AI-Enhanced Smart Beauty Companion with Customized Recommendations},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {4820-4825},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174508},
        abstract = {Introducing AI-powered personalized makeup rec- ommendation system, the paper focuses on delivering personal- ized recommendations by analyzing users’ facial features, user preferences, and skin tone analysis. The system employs face detection, facial landmark detection, and skin tone detection to determine the most suitable looks for the user. It suggests customized makeup styles for various occasions such as office look, casual look, and party look settings based on the user preferences. Users can also input the makeup products they own, and the system provides detailed instructions on creating a look using those products The model delivers instruction for applying makeup according to user recommendations, making it more interactive and gives personalized experience. This system demonstrates how AI can revolutionize the beauty industry by making makeup advice more accessible and tailored, with potential for further advancements in personalized beauty and skincare solutions.},
        keywords = {Keywords - Facial Features, Skin Tone, Recom- mendation, Makeup},
        month = {May},
        }