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Liver Disease prediction
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Kidney Disease prediction
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Diabetes prediction
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Heart Disease Prediction
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Alzheimer Prediction
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Stroke Prediction
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Prediction of non-chronic disease using Symptoms
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Contributor's page
Inspiration
Worldwide several cases go undiagnosed due to poor healthcare support in remote areas. In this context, a centralized system is needed for the effective monitoring and analysis of medical records. Early disease prediction can help the user determine the severity of the disease and take quick action.
What it does
It is a web-based patient diagnostic system that predicts the possible disease based on current symptoms experienced by a patient to ensure faster and more accurate diagnosis
How we built it
We have used a huge dataset and trained an ML model on it for making predictions. We then used Flask in VS Code to create a user-friendly and simple UI for everyone to use. It uses the Jupyter Notebook environment to run.
Challenges we ran into
Finding the appropriate dataset, Training the model, and Building the UI.
Accomplishments that we're proud of
High-accuracy ML model
What we learned
Flask, ML, Creating a custom environment in Jupyter Notebook.
What's next for Disease Prediction
Adding more diseases and their natural remedies in the prediction system so it can be used on a large scale.
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