Health Assist is a web-based application developed using Streamlit framework that allows users to input values for certain symptoms and the system will predict if the user have Diabetes , Heart Disease, Parkinson's Disease and Breast Cancer. This system aims to assist users in identifying potential diseases quickly and conveniently, promoting early detection and timely medical intervention.
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Predicts multiple diseases based on user-provided symptoms.
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User-friendly web interface for symptom input and disease prediction.
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Fast and efficient prediction algorithm.
After inputting the values from the dataset we got correct predictions and the snapshots are given below:
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Clone the repository:
git clone https://github.com/Sanchariiii/Health-Assist.git
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Navigate to the project directory:
cd Health-Assist -
Install all the necessary dependencies.
pip install -r requirements.txt
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Run the application:
streamlit run app.py
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Access the application by visiting http://localhost:8501 in your web browser
1.Open the application in your web browser.
2.Input the necessary values in the field provided.
3.Click on the "Predict" button to generate disease predictions.
4.The application will display that if the user has the disease or not.
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Python
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Streamlit
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Scikit-learn
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Pandas
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NumPy
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pickle
Contributions to the Multiple Disease Prediction System are welcome! If you find any bugs or want to enhance the functionality, please submit an issue or a pull request.