This document summarizes a project that uses machine learning to predict whether classroom project requests on the crowdfunding site DonorsChoose.org will be funded based on the teacher's essay. It introduces the problem of teachers spending their own money on classroom supplies, describes using logistic regression on essays vectorized with tf-idf to perform binary classification of funded vs. not funded projects, and discusses future directions including using natural language processing techniques and support vector machines.