Smart Cook : An AI and Machine Learning Powered Culinary

Authors

  • Gora Kanijfatma Maisurali  Assistant professor, Department of Computer Science, Shri C.J Patel College of Computer Studies (BCA), Sankalchand Patel University, Visnagar, Gujarat, India
  • Habiba Vajirali Momin  Lecturer, Electrical Engineering Department, Swami Sachchidanand Polytechnic College, Visnagar, Gujarat, India
  • Dr. Darshanaben Dipakkumar Pandya  Associate Professor, Department of Computer Science, Shri C. J Patel College of Computer Studies (BCA), Sankalchand Patel University, Visnagar, Gujarat, India
  • Dr. Abhijeetsinh Jadeja  I/C Principal, Computer Science, Shri C. J Patel College of Computer Studies (BCA), Sankalchand Patel University , Visnagar, Gujarat, India

DOI:

https://doi.org/10.32628/CSEIT2390670

Keywords:

AI, ML, Culinary arts, innovative solution, Culinary helper, dietary restrictions, individual recipe suggestions, Database of recipes, ingredients, and cooking methods ,User preferences, constant improvement, nutrition trends

Abstract

By utilizing the power of artificial intelligence (AI) and machine learning (ML), the SmartCook system transforms how we approach cooking, marking a significant advancement in the field of culinary arts. SmartCook provides a cutting-edge solution for both inexperienced and seasoned chefs as the culinary scene changes. An all-inclusive culinary helper, SmartCook draws from a huge database of recipes, ingredients, and cooking methods. With the help of its AI skills, it can comprehend user preferences, dietary constraints, and the components that are accessible to create personalized recipe recommendations. Additionally, it provides in-the-moment instruction during cooking, supporting users in producing food with the best flavour and texture. Smart Cook’s machine learning component continuously enhances its predictions and suggestions by gathering information from user interactions and comments. It changes as dietary trends do.

References

  1. Wu, C., and Chang, Y. (2019). "Challenges and Future Directions in AI-Enhanced Culinary Arts." In Proceedings of the International Conference on Machine Learning and Applications (ICMLA).
  2. Zhang, L., Zhang, J., and Zhang, J. (2018). "Intelligent Nutrition System for Smart Kitchen based on Deep Learning." In Proceedings of the 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
  3. van Mil, A. E., and Petzoldt, T. (2020). "Cooking with Machines: A Cross-Cultural Perspective on AI in the Kitchen." In Proceedings of the International Conference on Human-Computer Interaction (HCI International).
  4. Li, Z., and Yang, Y. (2016). "Human-Computer Interaction in Cooking: A Review." In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems.
  5. Miller, A. E., and Felfernig, A. (2019). "Smart Kitchen Appliances: Utilizing Recommender Systems for Personalized Cooking." In Proceedings of the International Conference on Advanced Information Systems Engineering (CAiSE).
  6. Chen, Y., Hsieh, C., and Chiu, C. C. (2019). "FoodAI: Food Image Recognition via Ensemble Learning." In Proceedings of the International Conference on Multimedia Modeling (MMM).

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2024-02-29

Issue

Volume 10, Issue 1, January-February-2024

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Gora Kanijfatma Maisurali, Habiba Vajirali Momin, Dr. Darshanaben Dipakkumar Pandya, Dr. Abhijeetsinh Jadeja, " Smart Cook : An AI and Machine Learning Powered Culinary" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 10, Issue 1, pp.55-59, January-February-2024. Available at doi : https://doi.org/10.32628/CSEIT2390670