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@article{190593,
        author = {Nimisha Boban and Monal Surendran and Neha P.B and Sreenandhana C.S and Soumya C.J},
        title = {LUMEA- AI-Based Skin Disease Detection and ‘ Skincare Recommendation System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {6780-6788},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190593},
        abstract = {Skin health plays a crucial role in overall well-being, influencing both physical comfort and self-confidence. However, dermatological care remains inaccessible to many due to the shortage of specialists, high consultation costs, and delays in diagnosis. With the rapid evolution of Artificial Intelligence (AI) and Computer Vision, automated skin analysis systems have emerged as powerful tools for assisting both users and medical professionals
Skin health plays a crucial role in overall well-being, influencing both physical comfort and self-confidence. However, dermatological care remains inaccessible to many due to the shortage of specialists, high consultation costs, and delays in diagnosis. With the rapid evolution of Artificial Intelligence (AI) and Computer Vision, automated skin analysis systems have emerged as powerful tools for assisting both users and medical professionals
This integration of AI-driven diagnostics and climate-aware personalization bridges the gap between dermatology and accessibility, allowing individuals to receive guidance without the need for frequent clinic visits. The project ultimately aims to promote skin health awareness, encourage preventive care, and make intelligent skincare support available to everyone through an intuitive web interface.},
        keywords = {},
        month = {January},
        }