https://github.com/sudhanshu-ambastha/diabetes-prediction-bot

this repository is part of combined disease prediction repository
https://github.com/sudhanshu-ambastha/diabetes-prediction-bot

anaconda anaconda-environment diabetes-prediction-model jupyter-notebook-python-sav-model kaggel-dataset python streamlit-webapp

Last synced: 28 days ago
JSON representation

this repository is part of combined disease prediction repository

• Host: GitHub
• URL: https://github.com/sudhanshu-ambastha/diabetes-prediction-bot
• Owner: Sudhanshu-Ambastha
• Created: 2023-10-11T12:03:20.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-04-16T11:49:39.000Z (8 months ago)
• Last Synced: 2024-04-16T14:47:59.152Z (8 months ago)
• Topics: anaconda, anaconda-environment, diabetes-prediction-model, jupyter-notebook-python-sav-model, kaggel-dataset, python, streamlit-webapp
• Language: Jupyter Notebook
• Homepage:
• Size: 65.4 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Diabetes Prediction Bot

![Web capture_16-12-2023_164650_localhost](https://github.com/Sudhanshu-Ambastha/Google-background/assets/135802131/e7d04e9a-650a-43da-88e0-a2e3f1806cc1)

![Web capture_16-12-2023_16479_localhost](https://github.com/Sudhanshu-Ambastha/Google-background/assets/135802131/ed9036b2-b99d-45db-923e-12d3e129447b)

## 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 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.

## Usage

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.

## Troubleshooting

If you encounter any issues or have questions, please don't hesitate to reach out for support.

Happy predicting! 🤖💙

## Check out the other repositories related to this one

Related Repos which you should check out:-

![Web capture_16-12-2023_162351_localhost](https://github.com/Sudhanshu-Ambastha/Google-background/assets/135802131/10dc50a7-ac7d-4972-bf52-736f448a6ca4)  

- [Heart Disease Prediction Bot](https://github.com/Sudhanshu-Ambastha/Heart-Disease-Prediction-Bot)

![Web capture_16-12-2023_16267_localhost](https://github.com/Sudhanshu-Ambastha/Google-background/assets/135802131/a7e19e30-aa09-4838-85c2-f1b69d2949cd)

- [Multiple Disease Prediction Bot](https://github.com/Sudhanshu-Ambastha/Multiple-Disease-Prediction-Bot)

  

- Check out the main repo as this project is part of it

[Combined Disease Predictor](https://github.com/Sudhanshu-Ambastha/Combined-Disease-Prediction-Bot)

## Contributors

    

        

        

            

            


            Sudhanshu Ambastha 

        

        


    

    

        

            

            


            Parth Shrivastava

        

        


    

    

        

            

            


            Sarthak Srivastava