Proposed Hybrid AI-Driven Framework for Stock Market Prediction

The Stock Market has developed as a revolutionary force, transforming global economies through democratizing wealth creation. With the use of Artificial Intelligence and Machine Learning, investors can navigate complicated financial terrain. While improving predictive accuracy, the underlying complexities and varied market opinions can render decision-making effective. This study emphasizes trend analysis and prediction of future values, enabling users to make smart investment decisions with little effort. Using a Hybrid Machine Learning Model, the method brings together several top-performing algorithms to improve predictive power and trend observation. The most important components of the project are Market Data Retrieval, Time Series Forecasting, Sentiment Analysis and Data Visualization, all of which assist in creating thorough reports that aid strategic investment decisions.