We are observing a recent trend of increase in heart attack fatalities with every passing generation. With the consultation of medical experts, we have figured out, that with the increasing workload, stress, and unhealthy lifestyle, their an increase in the upwardness of the curve of heart attack victims. Due to the lack of awareness of the general masses, this trend is not going to reduce in the coming future. We, as a group, did a brainstorming session to figure out what we can do, and tried our best to come to a solution.
🚀 What it does
We have made a tool for the prediction of Heart Attacks using the Machine Learning Model. We have also made a website for the same. The website will take input parameters related to their health like blood pressure, the occurrence of chest pain, etc. from the user, and based on it, will provide the output (chances of getting heart attack) from our model on the website.
👨💻 How we built it
- We shall train and validate models and develop a machine learning pipeline for deployment.
- We shall build an HTML front end with an input form for independent variables(age, sex, chest pain type, resting blood pressure, etc.)
- Build a back-end of the web application using Flask Framework
💀 Challenges we ran into
We faced various challenges like integrating the front-end and back-end parts. And also Integrating the Auth0 API. And deploying the website was the biggest head-ache task.
😊 Accomplishments that we're proud of
W are proud that we are able to accomplish the result we wanted from our website and help the society through our website.
💡 What we learned
We learned a lot about the API especially about Auth0 and about VPS using Linode cloud.
↗️ What's next for ForHeart
We are trying to add more features to our website and make it more user-friendly.