AI Diet Consultant Android APP

Authors

  • Nita Dongre (Jaybhaye)  Department of computer engineering, DVK MIT World Peace University, Pune, India
  • Vaishnavi Shinde  Department of Computer Engineering, MIT Polytechnic, Kothrud, Pune, India
  • Bhakti Kale  Department of Computer Engineering, MIT Polytechnic, Kothrud, Pune, India
  • Prof. Mrunal Swapnil Aware  Assistant Professor, Department of Computer Engineering, Dr. Vishwanath Karad MIT WPU, Pune, India

DOI:

https://doi.org/10.32628/CSEIT23903109

Keywords:

Registration Panel, Login Panel, Diet Plan, Daily Graph, Android Programming, Reliable

Abstract

Today, where eating unhealthy foods and leading sedentary lives have become the norm, diet is extremely important. The maintenance of optimum health, the prevention of chronic diseases, and the promotion of general well-being all depend on proper nutrition. Health and proper nutrition both depend on a balanced diet. Several deteriorations, and non-communicable diseases are protected from you. For optimal health, a balanced diet with low amounts of salt, sugar, saturated fats, and Tran’s fats from industrial manufacture is essential. The significance of a balanced diet for living a healthy life cannot be exaggerated. You may lead a healthy life by eating a balanced diet and making sure you get all the essential nutrients your body needs. Maintaining healthy body weight and reducing the threat of habitual conditions like diabetes, cardiovascular complaint, and colorful cancers are both eased by a sound diet plan. This application gives users access to a sophisticated algorithm that may generate a customized diet plan for them. With the suggested system, users would have access to a simple user interface where they can register for an account, manage it, and order the diet with the click of a single button. The suggested system requires users to first register before requesting their login information. A diet plan that contains meals and other options that must be consumed every day shows after logging into the system. The system then logs the user's diet, and the user can access his or her diet history.

References

  1. IEEE Xplore, 2010: SmartDiet: A personal diet consultant for healthy meal planning.
  2. IEEE Xplore, 2019: A Big Data Framework to Analyze Risk Factors of Diabetes Outbreak in Indian Population Using a Map Reduce Algorithm.
  3. IEEE Xplore, 2019: Food Recognition and Health Monitoring System for Recommending Daily Calorie Intake.
  4. IEEE Xplore, 2016: Introduction to Java and Android Programming.
  5. IEEE Xplore, 2014: DIET: Dynamic Integration of Extended Tracklets for Tracking Multiple Persons.
  6. IEEE Xplore, 2016: MT-Diet: Automated smartphone based diet assessment with infrared images.
  7. IEEE Xplore, 2009: A Novel Type-2 Fuzzy Ontology and Its Application to Diet Assessment.
  8. IEEE Xplore, 2019: Remote Management System for Diabetic Diet Based on Internet of Things Technology.
  9. IEEE Xplore, 2020: Eating with a Conscience: Towards a Visual and Contextual Nutrition Facts Label.
  10. IEEE Xplore, 2019: Infrastructure for Innovative Research on Healthy Food Choice, Preparation and Consumption: A Position Paper on the RICHFIELDS project.

Downloads

Published

2023-06-30

Issue

Section

Research Articles

How to Cite

[1]
Nita Dongre (Jaybhaye), Vaishnavi Shinde, Bhakti Kale, Prof. Mrunal Swapnil Aware, " AI Diet Consultant Android APP" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 3, pp.440-443, May-June-2023. Available at doi : https://doi.org/10.32628/CSEIT23903109