https://github.com/rishabhraj43/iris-flower-prediction

https://github.com/rishabhraj43/iris-flower-prediction

Last synced: 3 days ago
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• Host: GitHub
• URL: https://github.com/rishabhraj43/iris-flower-prediction
• Owner: RishabhRaj43
• Created: 2024-08-11T15:25:11.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-08-11T15:31:46.000Z (3 months ago)
• Last Synced: 2024-08-19T20:06:38.796Z (3 months ago)
• Language: JavaScript
• Size: 638 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Iris Flower Prediction

## Overview

The Iris Flower Prediction project is a machine learning application that classifies iris flowers into three species based on their measurements. The project uses a Logistic Regression model trained on the Iris dataset, and it provides a RESTful API for making predictions. A React frontend allows users to input flower measurements and receive predictions.

## Features

- **Predict Iris Flower Species**: Classifies iris flowers into three species based on sepal and petal dimensions.

- **REST API**: Provides a `POST` endpoint for predictions.

- **Frontend Interface**: A React-based user interface for inputting flower measurements and viewing predictions.

## Technologies

- **Backend**:

  - Python

  - Flask

  - Scikit-learn

  - Pickle

- **Frontend**:

  - React

  - Axios

  - React Hot Toast (For Notification)

 

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  # ___Happy Coding___ 🤖👾