This project involved developing a machine learning-based system to predict the future price of Bitcoin using historical data and various predictive models. The system leverages advanced algorithms, including time series analysis and deep learning models, to analyze trends, market sentiment, and external factors that influence Bitcoin’s price fluctuations. The goal was to provide accurate, real-time predictions to help traders and investors make informed decisions. The system offers an intuitive interface for users to view price predictions, trends, and related market insights, with the capability to continuously learn and improve predictions based on new data.