https://github.com/lakshmankishore/colornameprediction

Built with help of KNN Machine Learning classifier.
https://github.com/lakshmankishore/colornameprediction

flask html-css-javascript knn-algorithm machine-learning-algorithms python uigradients

Last synced: 17 days ago
JSON representation

Built with help of KNN Machine Learning classifier.

• Host: GitHub
• URL: https://github.com/lakshmankishore/colornameprediction
• Owner: LakshmanKishore
• Created: 2021-08-05T07:43:12.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-04-03T16:01:32.000Z (9 months ago)
• Last Synced: 2024-10-24T16:55:56.706Z (2 months ago)
• Topics: flask, html-css-javascript, knn-algorithm, machine-learning-algorithms, python, uigradients
• Language: Jupyter Notebook
• Homepage:
• Size: 1.63 MB
• Stars: 1
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

Awesome Lists containing this project

README

        
# Color Name Prediction

**Color Name Prediction** is a web application that predicts the name of a color when a user clicks on an image. It uses a K-Nearest Neighbors (KNN) algorithm to find the nearest color name based on the RGB value. The dataset contains a diverse set of approximately 865 color names.

## Demo

![Color Name Prediction Demo](./colorName.gif)

## Features

- Click on an image to sample the color.

- The application predicts the color's name based on its RGB value.

- Utilizes a K-Nearest Neighbors algorithm for color name prediction.

- Provides color naming for approximately 865 different shades.

- Offers an interactive and user-friendly interface.

- Learn more about the project in my [blog post](https://lakshman007bff.hashnode.dev/color-name-prediction-a-simple-perfect-guide-to-live-machine-learning-with-knn).

You can experience the application in action by watching the [live demo](https://lakshmankishore.github.io/colorNamePrediction/).