The Multi Risk Assessment app is a comprehensive health risk prediction tool developed using machine learning models and Python. This app provides users with a platform to assess their risk for several health conditions including breast cancer, liver disease, heart disease, diabetes, and stroke. By inputting specific health metrics, users can receive predictions on their condition and gain insights through real-time graphs that compare their input values with mean values.
The app is designed to be user-friendly, providing clear model descriptions and visual feedback to help users understand their health risks. Each model has been trained on relevant datasets to ensure accurate and reliable predictions.
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Breast Cancer Detection: Early detection based on input health metrics.
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Liver Disease Prediction: Assessment of liver disease risk.
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Heart Disease Detection: Evaluation of heart disease probability.
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Diabetes Prediction: Risk evaluation for diabetes.
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Stroke Detection: Prediction of stroke likelihood.
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Real-Time Graphs: Visual comparison of user inputs with average values.
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User-Friendly Interface: Easy to navigate and use.
- Frontend: Developed using Streamlit for an interactive and responsive user interface.
- Backend: Powered by Python and various machine learning libraries such as scikit-learn and pandas.
- Visualization: Real-time graphs implemented using Matplotlib.
The goal of the Multi Risk Assessment app is to provide a reliable and accessible tool for individuals to assess their health risks and make informed decisions about their health and wellness. The app aims to empower users with knowledge and insights derived from advanced machine learning models.