Predictive Macroeconomic Trends Using Large Language Models
This project integrates quantitative macroeconomic data with sentiment analysis of public firm reports using large language models to build a predictive model of firm performance over time. By combining structured financial metrics with unstructured text data, we aim to improve the accuracy of contractor performance forecasting for critical DoD programs. An interactive dashboard has been created in order to demonstrate the full capability of this analysis.