Personalized Nutrition Analyzer using Artificial Intelligence
Mrs. K. Nithiya, C. Gnana Prakash, K. Hari Sankar, S. Karthikesan, N. Nishar Ahamed · International Journal of Advanced Research in Science Communication and Technology · 2024
This project aims to develop an AI-powered nutrition analyzer tailored for fitness enthusiasts to regulate and achieve their overall fitness goals. Leveraging advanced machine learning algorithms, the system will analyze dietary patterns, nutritional intake, and individual health objectives. The user-friendly interface allows individuals to input their dietary information and exercise routines, receiving real-time, personalized recommendations. Beyond basic caloric assessment, the system considers comprehensive nutritional compositions, ensuring a balanced diet aligned with fitness targets. Continuous learning mechanisms enable the system to adapt and improve recommendations over time based on user feedback. This project seeks to empower users in making informed nutritional choices, fostering a personalized and effective approach to fitness management for enhanced overall well-being