Overview:
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.
Files:
- 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 running 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 designated for use in Google Colab.
Usage:
- 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.
GitHub Repository: Diabetes Prediction Bot
Deployed Model: Diabetes Prediction Bot
This repository has garnered 2 stars, 5 clones, and 50 views, making it a popular tool for health-conscious individuals seeking quick and reliable body metrics assessment. Give it a try and stay informed about your body composition!
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