Project Overview
This semester, we partnered with Spark Founders, a co-founder matching platform, to develop a predictive model that estimates the likelihood of success for businesses formed between two potential co-founders. Our model analyzes the personalities and background information of each founder to generate a success probability score between 0 and 1.
As new data is collected through the Spark Founders platform, the model can be retrained to continuously improve its accuracy. Once implemented, users will be able to view a ranked list of potential co-founders, prioritized by the predicted likelihood of building a successful business together.
