• N.RAHUL PAL
• Ms.Supriya Thontepu

Abstract- Milk is a product that benefits people whether raw or pasteurized. Ensuring the production of quality milk to meet consumer demands and expectations is an ongoing problem for the milk dairy sector. All living being's fundamental source of nutrition is milk. Adulterants should not be present in milk of superior grade. The food sector is highly significant today, and it would be helpful to monitor and quickly ascertain the quality of the products produced. Since using milk of poor quality can be detrimental to human health. The goal of this project is to create a system that can accurately forecast the quality of milk. The accuracy and efficiency of the milk quality prediction system will be improved by utilizing machine learning techniques.

Machine Learning, Milk Quality Prediction, Logistic Regression, Random Forest, Label Encoding.

"AN APPROACH TO PREDICT THE QUALITY OF MILK BY UTILIZING MACHINE-LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.b768-b775, April-2024, Available :http://www.jetir.org/papers/JETIR2404187.pdf

"AN APPROACH TO PREDICT THE QUALITY OF MILK BY UTILIZING MACHINE-LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppb768-b775, April-2024, Available at : http://www.jetir.org/papers/JETIR2404187.pdf