Abstract: Stock markets are volatile and influenced by many factors, making price prediction difficult. This project presents a web app that predicts stock prices using a trained Long Short-Term Memory (LSTM) model. The system fetches historical data from Yahoo Finance, preprocesses it, and predicts future prices for both U.S. and Indian markets. The LSTM model captures time-based trends effectively and provides accurate forecasts. The app also includes visualization tools and performance metrics for better analysis

Keywords: LSTM, Stock Price Prediction, Machine Learning, Deep Learning, Time Series Forecasting

Downloads: | DOI: 10.17148/IJIREEICE.2025.131017