Meal Recommendation System Using Machine Learning and Algorithms

Authors

  • Mayuresh Shinge  Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, Maharashtra, India
  • Rohit Tambekar  Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, Maharashtra, India
  • Yash Jadhav  Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, Maharashtra, India
  • Sarvesh Kadam  Assistant Professor, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, Maharashtra, India
  • Dr. Rupesh Mahajan  

Keywords:

Machine Learning, Content Based Filtering, Collaborative Filtering, Cosine Similarity

Abstract

This project introduces a hybrid meal recommendation system designed to enhance the dining experience for hotel guests by tailoring meal suggestions to their daily calorie requirements and nutritional preferences. The system seamlessly combines content-based filtering, which leverages nutritional attributes such as protein, fat, and carbohydrates, with collaborative filtering, tapping into user behavior and feedback. The results of this hybrid system showcase its proficiency in delivering precise meal recommendations, balancing the hotel's offerings with user input and behavior. This project offers a practical and adaptable solution for personalized dining experiences, promoting healthier and more satisfying meal choices for hotel patrons. Through the integration of content-based and collaborative filtering techniques, the system caters to a diverse range of guest preferences, ensuring an elevated culinary journey during their stay.

References

  1. Rupesh Mahajan, “An Analytical Evaluation of Various Approaches for Load Optimization in Distributed System”. International Journal of Intelligent Systems and Applications in Engineering, August 2023, Volume 12 Issue 1, 526–548.
  2. Rupesh Mahajan, “Novel Load Balancing Optimization Algorithm to Improve Quality-of-Service in Cloud Environment”, International Journal on Recent and Innovation Trends in Computing and Communication, Vol. 11, Issue 2, March 2023.
  3. Rupesh Mahajan, “Enhanced and Secure Authentication system methodology”, Computer Integrated Manufacturing Systems (CIMS), Vol. 28 No. 10, 20 Oct 2022.
  4. Rupesh Mahajan, “Load Balancing Using Heuristics algorithms in Heterogeneous Computing Environment”,International journal of Health Science (IJHS) on 18th June 2022
  5. Rupesh Mahajan, “A Survey on Intelligent and Effective Intrusion Detection System Using Machine Learning Algorithm”, IJERT, Volume 9, Issue 1, 2020.
  6. Rupesh Mahajan, “Augmented Reality Based Solution Walk-Through’s For Digital Screens”, IJSART, Volume 2,Issue 1, May 2019
  7. Rupesh Mahajan, “Predictive Diagnostic System of Infections Lung Disease Using Breath Detection System”, IJIES,Volume 3, Issue 1, May 2018.
  8. Rupesh Mahajan, “Sliding Window Control Based High Utility Pattern Mining for Industrial Use”, IJARIIT, Volume 4, Issue 1, 2018.
  9. Rupesh Mahajan, “A Survey on Naming Faces Using Annotations based on External Knowledge from Videos”, Journal of Advance Research and Innovative ideas in Education (IJARIIE), Volume 3, Issue-1, January 2017.
  10. Rupesh Mahajan, Survey on an Advanced Technique for Anti-Phishing Using QR-Code & Visual Cryptography:, Journal of Innovative Research in computer & communication Engineering (IJIRCCE), Volume 4, Issue 1, January 2016.

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2023-12-30

Issue

Volume 10, Issue 6, November-December-2023

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Mayuresh Shinge, Rohit Tambekar, Yash Jadhav, Sarvesh Kadam, Dr. Rupesh Mahajan "Meal Recommendation System Using Machine Learning and Algorithms" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 6, pp.56-63, November-December-2023.