NutriMitra – Diet Recommendation System
Akash Sanjay Panicker
Student, Department of Computer Engineering, Sardar Patel Institute of Technology, Mumbai, India
Mahesh Anil Patil
Student, Department of Computer Engineering, Sardar Patel Institute of Technology, Mumbai, India
Rohit Sanjay Phalke
Student, Department of Computer Engineering, Sardar Patel Institute of Technology, Mumbai, India
Anand Godbole
Professor, Department of Computer Engineering, Sardar Patel Institute of Technology, Mumbai, India
ABSTRACT:
This paper introduces a platform that integrates personalized nutrition planning and educational tools, designed for both users and experts. Features include a Diet Recommendation System leveraging the KNN algorithm to provide meal plans based on user-specific factors. A Custom Food Recommendation module offers detailed nutritional control. The Recipes Section, powered by the Edamam API, delivers calorie-dense recipes. Users can engage in blogs, attend virtual meetings, and access expert-created courses and events. Experts benefit from tools for blogging, course creation, event hosting, and networking. This platform fosters collaboration and advances health and education experiences.
Published in: International Journal of Research in Engineering, Science and Management (Volume 7, Issue 12, December 2024)
Page(s): 1-4
Date of Publication: 06/12/2024
Publisher: IJRESM
Cite as: Akash Sanjay Panicker, Mahesh Anil Patil, Rohit Sanjay Phalke, Anand Godbole, “NutriMitra – Diet Recommendation System,” in International Journal of Research in Engineering, Science and Management, vol. 7, no. 12, pp. 1-4, December 2024.