https://github.com/fatimaafzaal/diabetesprediction

This is a diabetes prediction system using Random Forest classifier and Flask framework.
https://github.com/fatimaafzaal/diabetesprediction

diabetes diabetes-prediction flask flask-application html machine-learning python randomforestclassifier visual-studio-code

Last synced: 9 months ago
JSON representation

This is a diabetes prediction system using Random Forest classifier and Flask framework.

• Host: GitHub
• URL: https://github.com/fatimaafzaal/diabetesprediction
• Owner: fatimaAfzaal
• Created: 2023-07-06T06:06:07.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-07-14T15:17:36.000Z (over 2 years ago)
• Last Synced: 2025-01-16T09:07:44.670Z (10 months ago)
• Topics: diabetes, diabetes-prediction, flask, flask-application, html, machine-learning, python, randomforestclassifier, visual-studio-code
• Language: HTML
• Homepage:
• Size: 495 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Diabetes Prediction using Random Forest and Flask

![diabetesImage](https://github.com/fatimaAfzaal/DiabetesPrediction/assets/99525339/a08ab31b-d2ab-496d-a34d-73c9c376b9ec)

This project aims to develop a predictive model for diabetes using the Random Forest algorithm and Flask framework. The model is trained on a dataset containing various health parameters and their corresponding diabetes outcomes.

## Features

- Utilizes Random Forest algorithm for accurate prediction

- Flask framework for building a user-friendly web application

- Interactive user interface for inputting health parameters

- Predicts the likelihood of diabetes based on the provided inputs

## Dataset

The dataset used for training the model is sourced from Kaggle and contains various health attributes, such as glucose level, blood pressure, BMI, and age, along with their corresponding diabetes outcomes.