NutriCode

about us page
disease details, recommended food items and stores info
landing page

Inspiration

A recent analysis by the Maternal and Child Undernutrition Study Group estimated that stunting, severe wasting and intrauterine growth restriction together were responsible for 2.2 million deaths annually. Apart from these deaths, hospitals are feeling pressure due to the rising number of patients who seek medical attention for diseases that could be avoided if the patient could have taken the correct nutrition.

However, with many options of food out there, it is difficult for one to know which food combination should be eaten to prevent a particular disease and the cheapest stores to buy these food items.

The NutriCode web system solves this problem. NutriCode prevents people from getting poor nutrition related diseases. This keeps the population healthy which in turn prevents people from needing health care services hence reducing the burden on the health care system. This would make it possible for the health care departments to assign resources that were to previously be used for nutrition related diseases to other departments hence making health care accessible to more people.

What it does

NutriCode allows a user to search the nutrition menu for a particular disease. After the search, the user is provided with a list of disease symptoms, a list of recommended food items and a list of online stores where the food items are sold and the price of each food item in each store. The user can click on the food item and be directed to the store’s website where they can place an order for the food item.

How we built it

NutriCode web system was built by a team of 5 students. It was designed in Figma. It was built using html, css and JS for the frontend. The backend was built with Python and Django. The database used is Postgresql. It is hosted in Heroku.

Challenges we ran into

1. The major challenge was in hosting the website.

2. We were unable to include all the diseases in our database. Therefore, at the moment, a user can only search for a limited number of disease. List of diseases one can search for include:

rickets, beriberi, pellagra, scurvy, iron-deficiency anemia and goitre

Accomplishments that we're proud of

We worked collaboratively and learnt new things in the process.

What we learned

We learnt how to work in a team and new technologies.

What's next for NutriCode

We will continue working on NutriCode system so that the user can also see stores that are near them physically instead of just the online stores, as is the case right now.

Also, we would look for other apis with more diseases options. This would enable a user to search for food items for a wide range of diseases as opposed to right now where the user is restricted to a few diseases.

We would also add a feature that links customers to the stores to enable them to order for the food items from the NutriCode website instead being directed to the store website as is the case right now

Built With

Submitted to

Game of Learners Exhibition

Created by

I worked on the User Interface design. It was my first time using figma to design a web app but I learnt a lot in the process of designing this.

Purityj Jangaya
Purity is a fullstack developer with skills in Python/Django, APIs (DRF) & React.js. She is proficient in LLM (creating & finetuning))
I worked on the backend using python Django framework, it was fun but also challenging

Vtechcode Waburi
I worked on the backend using Python alongside Victor Waburi. I also recorded the video pitch for the project. Overall it was a great learning experience.

Natasha Bernard
I worked on the frontend using HTML, CSS and a bit of javaScript. i was challenging a bit since i had to learn new web concept in short term. the support of my team member made it simple and fun to complete it on time.

Mohamed Dekow
I worked on the front end using html and css together with Mohammed. Included a bit of JS which was a learning experience. Also created the logo of the project.

Joan Waweru