This project aims to forecast Bitcoin prices by analyzing Twitter sentiment data. By combining machine learning techniques with sentiment analysis, we can identify leading indicators that correlate with Bitcoin price movements. The project uses various natural language processing models and forecasting methods to enhance prediction accuracy.