-
-
Prevention is better than cure.
Inspiration
Cardiovascular diseases affect Indians a decade earlier than their western counterparts and nearly 3 million people die of stroke and heart attack every year. Hence we came up with an idea to tackle this issue.
What it does
This application takes the input from the user in terms of this existing medical records and predict the future possibility of heart disease.
How we built it
We started by choosing a data set from kaggle and then we opted the methods like data cleaning , data visualization , outlier removal to get a clean data set . Then we developed a model which work will work on the backend of our web application and will give result as a prediction of heart disease.
Challenges we ran into
The main challenge was finding a clean data set.
Accomplishments that we're proud of
We made our web application which can help people to know about the future risks.
What we learned
We learnt about the importance of data and how it can impact the lives of people for the better
What's next for HEART DISEASE PREDICTOR
Make a redirection for the user in terms of giving a prescription and provide the precautions to be taken
Built With
- heroku
- jupyternote
- machine-learning
- python
Log in or sign up for Devpost to join the conversation.