A Healthy Food Recommendation System Using KNN Model and Elasticsearch With Quantum Computing
With a personalized, intelligent, and interactive cooking journey available to users of all skill levels, this app has the potential to revolutionize the way we experience cooking. The program uses machine learning algorithms to analyze user preferences, dietary needs, and ingredient availability to create customized recipes. It offers in-the-moment direction while you cook, making cooking approachable for beginners as well as supplying seasoned chefs with fresh ideas. The recipe application for food that has been enhanced using machine learning tools. With a personalized, intelligent, and interactive cooking journey available to users of all skill levels, this app has the potential to revolutionize the way we experience cooking.This app uses machine learning algorithms to analyze user preferences, dietary needs, and ingredient availability to create customized recipes. It offers in-the-moment direction while you cook, making cooking approachable for beginners as well as supplying seasoned chefs with fresh ideas.
| Year of publication: |
2024
|
|---|---|
| Authors: | Mouthami, K. ; Harish, V. V. ; Karthikeyan, S. ; Chinnusamy, Sasikumar ; Kathiresan, S. |
| Published in: |
Real-World Applications of Quantum Computers and Machine Intelligence. - IGI Global Scientific Publishing, ISBN 9798369336021. - 2024, p. 1-16
|
Saved in:
Saved in favorites
Similar items by person
-
The Indian pharmaceutical industry
Karthikeyan, S., (1999)
-
Badrinath, V., (2024)
-
Impact of fiscal transfers policy on regional growth convergence in India
Kathiresan, Shanmugam, (2024)
- More ...