Built a model utilizing word embeddings, selecting and tuning classifiers, and llama-ccp-python large language model to analyze news data, developing an AI-driven sentiment analysis system that automatically processes and analyzes news articles to gauge market sentiment, and summarize the news at a weekly level to enhance the accuracy of the stock brokerage's stock price predictions and optimize investment strategies.