Personalized Diet and Wellness Recommendation System
Personalized Diet and Wellness Recommendation System
Authors:
Maram Siva kavya 1, Morampudi Kranthi Sri 2, Asst.Prof.Saravanan Elumalai 3, Dr.A.Vinothkumar4, Dr.M.Chandran 5
Department of Artificial Intelligence 1,2,3,4,5
Dr. M.G.R. Educational and Research Institute, Chennai 600095, India
ABSTRACT:
The basis of health and well-being is nutrition, which affects the physical, mental, and emotional health. It also prevents such diseases as diabetes and heart diseases, enhances growth energy levels and also immunity. Nevertheless, work pressure, a change in nutrient needs and lack of nutrition education make it difficult to play a part in maintaining a healthy lifestyle. Current dietary planning systems do not offer individualized guidance, cultural sensitivity and practical nutrition information, so users are underserved. To address these gaps, Poshana - the Nutri chatbot application designed as a personal nutrition assistant. Other aspects of weight loss and nutrition are taken into account and combined with the user’s profile information such as age, gender, weight, height, fitness goals to provide account-based eating plans, daily calorie allowance, macro split. Through this approach, the user is presented with an innovative recipe recommending system where he or she can select the recipes based on the given ingredients, preferred type of food and any food restriction such as vegan, keto, gluten free foods or any allergy. This is made available through entry of food consumption through the manual entry or voice recognition entry, linkages to World Health Organization (WHO) nutrient database for standardization, the development of the program in different languages that suits the cultural differences of the clients. The application integrates the Claude API for enhanced chatbot interactions with its AI-driven approach, global nutrition database, and innovative functionality. The Nutri chatbot will enable people to make conscious, sustainable eating decisions, sealing the loopholes of the current systems of dietary planning and developing personalized nutrition options. Nutrition is a cornerstone of human health as it determines physical health, cognitive ability and emotional health and has a very important role in the prevention of chronic diseases.
Although it is a fundamental factor, the current lifestyle trends, with work-related stress and changing nutritional requirements and access to reliable nutritional information, tend to deprive people of healthy habits. Current dietary planning systems often lack customization, cultural flexibility, and actionable information, and user support is often lacking.
In order to overcome these issues, Poshana, an AI- based Nutri chatbot is suggested as a smart personal nutrition helper. Using user-specific information (age, gender, body measurements, fitness objectives, etc.), the system produces specific dieting plans, including the amount of calories to consume and macronutrient ratios. It also increases the user interaction by providing a dynamic recipe recommendation engine that supports ingredient availability, dietary preferences, and limitations like vegan, keto, or allergen-free diets.
Index Terms — NSCLC, Overall Survival, Deep Learning, Cox Regression, C-index, Kaplan-Meier, SMOTE, Patient-Level Splitting, Cross-Validation.