Nutrition Analyzer

The Nutrition Analyzer with Image Classification simplifies dietary decision-making by integrating machine learning and personalized health management. The system identifies fruits and vegetables through image uploads, predicts nutritional content, and provides personalized diet recommendations based on user profiles. A unique disease-specific module offers tailored dietary advice for medical conditions. Using TensorFlow, Keras, and Streamlit for development, the project demonstrates the feasibility of combining AI and health management. While results were promising, challenges like misclassification and dataset limitations emerged. Future enhancements aim to refine accuracy, expand databases, and improve the disease-specific module for broader applicability.