AI-Powered Solutions for Safer Stock Market Investments: Trend Forecasting Using LSTM and Sentiment Analysis

This paper presents a novel web application designed to mitigate the unpredictability of the stock market by providing accurate stock predictions and investment insights. Leveraging advanced machine learning models, including regression analysis and Long Short-Term Memory (LSTM) networks, our system processes historical stock data to forecast future trends. The application offers users customizable time periods for tailored predictions, interactive visualizations, and curated investment tips from reliable financial sources. Our goal is to empower investors of all experience levels to make informed decisions, navigating the complexities of the stock market with confidence. This research contributes to the development of a comprehensive platform that blends quantitative predictions with qualitative financial advice, optimizing the stock market investing experience.