Inspiration
Health-conscious people as well as diabetic patients regularly use meal-tracking apps to track their nutritional intake so as to maintain their health. However, most meal-tracking applications are based in western countries and largely suit western diets, with very little nutritional information available for Asian dishes, and is largely not applicable to the local palate. This results in less motivation for patients and users to track their meals due to the inability to quickly log their meals, and inconsistent monitoring in particular is a major issue for patients and healthcare professionals as it prevents them from gaining further insights into a patient's health.
What it does
As such, we aim to fill this gap in nutrition data by creating a meal-tracking app catered to the Singaporean diet, with a nutritional database covering over 500 local foods for users to add to their profile, in addition to having the calorie count of foods commonly offered by popular nutrition tracking apps. The app also features some basic healthcare insights for patients to reference.
How we built it
This was build in React with the AntD visual library. Data would be stored in NoSQL database. We queried a database of local food nutritional content by HPB for the data.
Challenges we ran into
Coding in less than 7 hours (including sleep) after we decided which track to choose
Accomplishments that we're proud of
Spending 2/9 of the hackathon coding :) The other 7/9 was used on ideation
What we learned
What's next for NutriSG
In addition to adding more nutrition parameters, we are looking to add more AI-powered nutritional insights based on user history and food consumption trends to better inform users of the steps they could take to ensure a healthy diet. We are also hoping to add a user education component, where we could include videos on nutrition and possibly incorporate meal plans into the application.
We are also considering adding a feature that allows more chronic care patients to link up with healthcare professionals and dieticians for teleconsults/chatbot consults to increase ease of access to healthcare for patients that might otherwise be unable to access them. Data would also be linked directly to hospital's clinical management systems for easy reference to patients' diets.
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