The "Diabetes Prediction Bot" is a machine learning-based software application designed to predict whether an individual is likely to have diabetes. Users can provide relevant medical and lifestyle data, and the bot analyzes this information to provide a predictive outcome. This tool is useful for early detection and risk assessment of diabetes, allowing individuals to take preventive measures and seek medical advice when necessary.
trained_model.sav
: This file contains the trained machine learning model for diabetes prediction.Diabetes-Prediction-bot deployment in Spyder.py
: This Python script is used for deploying the Diabetes Prediction Bot in the Spyder IDE and run it using 'Streamlit'.diabetes.csv
: This data file contains the dataset used to train and test the diabetes prediction model.diabetes_prediction.py
: This Python script is designed for use in Google Colab.
- Ensure you have the necessary dependencies and libraries installed (e.g., NumPy, Pandas, Scikit-Learn).
- Run the provided Python script (
Spyder multiple disease prediction(combo of heart & diabetes prediction bot).py
) in the Spyder IDE to deploy the bot. - Provide the required medical and lifestyle data as input.
- The bot will analyze the data and provide a prediction regarding the likelihood of diabetes.
If you encounter any issues or have questions, please don't hesitate to reach out for support.
Happy predicting! ๐ค๐
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