Classification of pH scale based on machine learning approaches

This paper provides a demonstration of the idea for a microfluidic, which is based on dry chemicals, stable, and semi-quantitative assay using a larger dataset with a variety of conditions. An optical method is used to measure the color change of pH paper. In order to support the claim and provide evidence, this paper will specifically explore the parameters of an intelligent colorimetric test that satisfies the ASSURED standards. All the time it measures by using traditional manual method. Our goal in this study was to gather objective data by using Red, Green, and Blue values to represent the pH change of the paper. The system under investigation is an intelligent image-based system that performs automatic paper-based colorimetric tests in real-time. This paper classifies the pH scale by using machine learning models.