4th Annual Research Conference of SLIIT CITY UNI

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Author: search.filters.author.Seneviratne, OHas files: Yes

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    PublicationOpen Access
    Nutria: An AI-Driven Personalized Meal and Exercise Recommender System for Diabetes Management
    (SLIIT City UNI, 2025-07-08) Kumari, V.W.I.D; Seneviratne, O
    The prevalence of diabetes has led to a growing demand for personalized dietary management tools, leading to the development of Nutria, a web-based food recommendation system tailored for individuals with diabetes. Nutria application is leveraging artificial intelligence, machine learning, and image processing. Nutria analyzes individual health data to provide realtime meal suggestions. The system also features predicting blood glucose level, feature of a chatbot that supports user engagement by offering dietary advice, tracking user progress and exercise recommendation for control their disease condition. The inclusion of a chatbot serves as a vital component of Nutria, facilitating ongoing user engagement and support. Users can interact with the chatbot to receive personalized dietary advice, track their progress over time. This interactive feature not only helps users stay motivated but also fosters a sense of accountability in their dietary choices. Findings from the system evaluation revealed a high level of user satisfaction, with over 85% of participants reporting improved dietary awareness and adherence.
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    PublicationOpen Access
    Bliss2Glamour: An Artificial Intelligence Integrated Educational Platform for Skincare and Beautician Training
    (SLIIT CITY UNI, 2025-07-08) Ranthatige, N; Seneviratne, O
    This research paper represents Bliss2Glamour, an artificial intelligence (AI) based educational platform developed to assist all the NVQ Level 4 blooming beauticians, qualified lecturers, and beauty enthusiasts. Bliss2Glamour has an integrating Learning Management System (LMS), well trained AI chatbot, Selfaffirmations to keep the users motivated, calming music for the salon purposes, provide 24/7 skincare consultation from a highly qualified cosmetologist via WhatsApp website for beautician training, standard online quizzes for the trainee beauticians to get prepared for the exam aligned with the TVEC syllabus. This research paper highlights the motivation, methodology (Agile), implementation (FastAPI, React, React JS Query, fine-tuned QWEN 2.5 0.5B-Instruct AI model), and evaluation (via Weights & Biases). All objectives were met. The AI chatbot achieved 80% accuracy rate based on evaluation using Weights. These results confirm that Bliss2Glamour successfully combines educational content, AI technology, and holistic care into one user-friendly system.