ML-Powered Nutrient Recommendations: A MERN Stack-Based Approach

Personalized nutrition has become essential for both prevention and overall health in this day and age, too. However, the effectiveness of current dietary recommendation systems in satisfying a variety of user needs is limited by their frequent lack of scalability, interactivity, and adaptability. An ML-powered nutrient recommendation system built with MERN (MongoDB, Express.js, React.js, and Node.js) stack offers a novel solution to these problems in this paper. To personalize dietary advice, the proposed system mixes specific information provided directly by users with algorithms trained on huge databases of nutrition prepared using very sophisticated machine learning algorithms.