pH Scale Recognition by RGB Color Using Flask.

pH Scale Recognition by RGB Color Using Flask.

pH scale recognition using machine learning regression model based upon the color model RGB (RED, GREEN, BLUE) and web application using Flask.

pH scale recognition using machine learning regression model based upon the color model RGB (RED, GREEN, BLUE) and web application using Flask.

Overview

A flask web application in which a user can input red, green and blue color on the scale of RGB color and gets the pH level which is between 1 and 14. It uses machine learning regression algorithms with an highest r2_score of 0.95 (Random Forest).

Domain Background

The project involves Regression using Machine Learning. The algorithms used were Multiple Linear Regression, Rigid Regression, Support Vector Machine (SVM), Decision Tree and Random Forest Regression. After the machine learning model, flask web application was bought into cyberspace.

Dataset Exploration

The dataset consists of 4 Columns:

  1. Blue
  2. Green
  3. Red
  4. Scale

The red, blue and green columns consists of color scale of their respective colors, and the scale consists of values of pH in respect to RBG.

machine-learning regression-modeling data-science flask data-visualization

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