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DiaCooky

Team Prometheus SDGP Project

DiaCooky is a Food Recipe Recommendation System made for Type 1 Diabetes Patients.

Table of Contents

General Information

  • Nowadays, people suffer from various ailments due to their natural condition and their way of life. Diabetes is a very serious non-communicable disease in today’s society.
  • Patients as well as physicians have a greater responsibility for the control and treatment of diabetes by providing patients with up-to-date knowledge of diabetes and its various aspects. Medications alone do not cure diabetes.
  • A dietary recommendation system would be especially helpful for this problem therefore our team came up with this idea and decided to implement it

Technologies Used

  • Tech 1 - HTML
  • Tech 2 - CSS
  • Tech 3 - Python (V3.8)
  • Tech 4 - JavaScript
  • Tech 5 - Jupyter Notebook

Features

  • Users should be able to view recipes to their likings.
  • After viewing the recipes, the user should have the ability to show their response by liking, disliking the content.
  • Recipies should be reccomended according to the users mood.

Project Status

Closed.

Room for Improvement

  • This exact project can be completed with all the front end fatures to produce a full pledged web application.
  • For further improvement a funtion can be developed to detect the person's feelings and the perceptions about this application which will automatically save those things within the app and when the patient logged into this app that person can get a deep and through understanding about his/ her past records the development up to now. This leading to predicting the possible outcomes such as health conditions or reccomendation of updated diet plans in real time.

Acknowledgements

Team Prometheus would like to sincerely thank a great number of people that helped us throughout this project, to whom without, this project could not have been possible. This project was made possible through the guidance, knowledge & support of the Module head Sir Banuka, our mentor Miss Krishnakripa, and the rest of the Module team, from the initial stage right through to where it is now. We would also like to thank the management of IIT, fellow colleagues, lecturers and non-academics staff who carried us in different ways to successfully complete our project . Finally, special thanks to our domain, legal and industrial experts who helped us with feedback and advice and all the participants that provided their precious input through our surveys.

Collaborators

  • Manulji Ranasinghe
  • Sriharish Murugesu
  • Franco De Silva
  • Sharanya Serasinghe

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