Personalized Dashboard for Heart Disease Prediction

In our fast-paced world, maintaining heart health is more important than ever. Therefore, this cutting-edge innovation provides a personalized dashboard utilizing ML to predict & manage heart disease.

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Inspiration: Inspired by the increasing prevalence of heart disease and the need for early detection, I aimed to leverage ML to provide a proactive health management solution.

What It Does: My platform predicts heart disease risk based on user inputs and visualizes the data in an intuitive dashboard, offering actionable insights for better health management.

How I Built It: I developed the platform using Python for backend data processing and model development, Flask for the web framework and integrated a real-time database from Google Firebase for data capturing.

Challenges I Ran Into: I faced challenges in ensuring data accuracy and handling the variability in user-submitted health data, as well as optimizing the machine learning model for real-time predictions.

Accomplishments that I'm Proud Of: Successfully creating a user-friendly interface that accurately predicts heart disease risk and integrating interactive visualizations that make health data comprehensible.

What I Learned: I gained insights into the intricacies of healthcare data, the importance of user-centric design and the challenges of integrating machine learning models in a real-world application.

What's Next for Personalized Dashboard for Heart Disease Prediction: I plan to enhance the model's accuracy with more diverse data sets, implement more advanced analytics features and expand the platform to include personalized health recommendations.

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