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@article{201090,
        author = {S. RALINA SHIFA and Dr.M. RAHIMAL BEEVI},
        title = {NutrieVerse AI-Driven flavor & Wellness insights},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {2796-2801},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201090},
        abstract = {NutrieVerse is an AI-driven platform designed to deliver personalized flavor and wellness insights by intelligently integrating nutrition science with advanced data analytics. The system aims to enhance individual dietary experiences by analyzing user preferences, health goals, dietary restrictions, and nutritional requirements. Using machine learning algorithms and food composition databases, NutrieVerse provides customized food recommendations that balance taste and wellness. The platform interprets large volumes of nutritional data to suggest optimal ingredient combinations, meal plans, and flavor profiles tailored to individual users. By bridging the gap between health-focused nutrition and sensory satisfaction, NutrieVerse promotes healthier eating habits while maintaining culinary enjoyment. The system serves as a digital nutrition assistant that empowers users to make informed food choices, supporting long-term wellness and lifestyle improvement.},
        keywords = {AI-driven nutrition: Machine Learning, Predictive Analytics, Personalized Nutrition, Flavor Profiling, Python Flask, Wellness Insights, Data Mining, Dietary Adherence.},
        month = {May},
        }