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.

1. Ensure you have the necessary dependencies and libraries installed (e.g., NumPy, Pandas, Scikit-Learn).
2. Run the provided Python script (Spyder multiple disease prediction(combo of heart & diabetes prediction bot).py) in the Spyder IDE to deploy the bot.
3. Provide the required medical and lifestyle data as input.
4. 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! 🤖💙

Combined Disease Predictor

Sudhanshu Ambastha

Parth Shrivastava

Sarthak Srivastava