CardiAct

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  home page

• 

  prediction

• 

  ai helper

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  about us

Inspiration

For a long time, late diagnosis of various medical conditions has been a major issue in the medical industry. Many people died from diseases such as cancer, or cardiovascular issues. We wanted to help mitigate this issue, so we developed this tool to help doctors quickly diagnose problems with high accuracy, and combat the issue of late diagnosis.

What it does

This website takes in basic medical data about a patient, and runs it through an AI model that we trained in order to determine the risk of cardiovascular disease for the patient. An integrated chatbot helper is also provided that walks the user through any points of confusion, allowing for seamless and effective use.

How we built it

We trained an AI model using flask, and developed the website using HTML, CSS, and Java Script

Challenges we ran into

One of the major challenges we encountered was the sudden shut down of one of our computers. This significantly reduced the pace of our progress, but we were able to quickly adapt to the situation and adjust our roles, temporarily placing one of our teammates in an advisory role, giving us various ideas for an elevator pitch and website content.

Accomplishments that we're proud of

We were able to quickly adapt to an unforeseen issue, thus keeping our progress from halting. In addition, we were able to quickly train an AI model to accurately diagnose cardiovascular diseases using provided sample datasets

What we learned

We learned how to quickly adapt to issues that would otherwise completely halt our progress. In addition, we learned to handle the continuous onslaught of merge conflicts and quickly resolve them.

What's next for CardiAct

At the moment, our project only estimates the risk factor of a patient. We would like to expand it so it gathers more detailed data for more descriptive diagnoses. In addition, we would like to obtain a web domain so we can expand and make it more accessible to various medical professionals

Built With

• css
• flask
• html
• javascript
• kaggle
• openrouterapi
• python