Generative AI Hackathon with IBM watsonx

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All about using IBM Watson.ai and IBM granite in this hackathon

Black bird

Maaz_Ai_enthusiast

Sidra812

Sean Thawe

Muhammad Saqlain

sairaawahid

An application that leverages neural networks to predict the likelihood of heart disease in users based on their health data.

Features
User Input: Users can input personal health metrics such as age, gender, blood pressure, cholesterol levels, and other relevant medical history.

Neural Network Model: Implement a pre-trained neural network model that processes the input data to predict heart disease risk. The model can be based on existing datasets and algorithms from sources like Kaggle.


Real-Time Feedback: Provide users with immediate feedback on their health status, including risk assessment and suggestions for lifestyle changes.

Data Visualization: Include graphs and charts to help users understand their health metrics and the prediction results.

Educational Resources: Offer information on heart disease, prevention strategies, and when to seek medical advice.

An application that leverages neural networks to predict the likelihood of heart disease in users based on their health data.

"Black bird team on Generative AI Hackathon with IBM watsonx Hackathon"

Team Idea

Submission