Alegorithm.io is a Graduate project at UC Berkeley which leverages the predictive and pattern recognition abilities of deep learning, natural language processing, and classical machine learning algorithms to explore the ability for machines to:
- accurately create new (tasty) beer recipes
- recommend existing commercially produced beers
both based on user requested specific beer qualities, descriptions, and preferences.
At the heart of Alegorithm.io we are striving to answer two questions:
1) How can craft beers be selected with confidence by consumers?
2) How can craft breweries / home brewers develop recipes efficiently?