Heart Haven

• 

  Our Cool Website Landing Page :D

• 

  Example output of a user taking our assessment

What it does

Heart Haven has created a application to assess individuals based on their living factors in order to predict their likely good.

How we built it

We based our development on our Machine Learning Model on a dataset of heart diseases and their contributing factors. To do this we utilized Flask in order to have Python backend and utilized HTML, CSS, JS for our front-end. To assist our front-end development we utilized Figma to draft different logos and web application work flows.

Challenges we ran into

Fine tuning our MLM, such as improving accuracy of our model by 14%. A challenge for setting up the web application was creating the pipeline of information from back-end to front-end in order display information pertaining to the user.

Accomplishments that we're proud of

Creating a 3 Tier Application, that includes a front-end, back-end, and MLM.

What we learned

How to communicate through different roles of the team. We learned to create a workflow such that everyone was given a task to work on, without being too dependent on the output of others. Learned to utilize Flask for a backend so that we are able to use Python code in the back-end.

What's next for Heart Haven

Creating more personalized information of what the individual can do based on their results. Deploy our application on a server so it can be accessed by a larger population.

Built With

• css
• flask
• html
• javascript
• mlm
• python
• pytorch