Coffee Roast Intelligence

TL;DR

This paper introduces a machine learning-based Android application that classifies coffee bean roasting levels by analyzing images, aiming to standardize quality control in coffee roasting and assist baristas.

Contribution

It presents a novel mobile app that automatically determines coffee roasting levels through image analysis, improving consistency and reducing subjective judgment.

Findings

Accurate classification of roasting levels achieved

User-friendly interface for real-time predictions

Trackable roasting history for quality control

Abstract

As the coffee industry has grown, there would be more demand for roasted coffee beans, as well as increased rivalry for selling coffee and attracting customers. As the flavor of each variety of coffee is dependent on the degree of roasting of the coffee beans, it is vital to maintain a consistent quality related to the degree of roasting. Each barista has their own method for determining the degree of roasting. However, extrinsic circumstances such as light, fatigue, and other factors may alter their judgment. As a result, the quality of the coffee cannot be controlled. The Coffee Roast Intelligence application is a machine learning-based study of roasted coffee bean degrees classification produced as an Android application platform that identifies the color of coffee beans by photographing or uploading them while roasting. This application displays the text showing at what level the coffee beans have been roasted, as well as informs the percent chance of class prediction to the consumers. Users may also keep track of the result of the predictions related to the roasting level of coffee beans.