The stock market is a place where prices change a lot and are affected by things that happened in the past, what people think about the market, and the state of the economy. It is really hard to guess what stock prices will be in the future because financial information is complicated and can change quickly. Old ways of doing things often use tools or people looking at the data, which may not be good enough to find patterns in how stock prices change over a long time. Recently artificial intelligence and deep learning have made it possible to create systems that can help investors make decisions with data. This study is about a system that uses intelligence to predict what will happen in the stock market and analyze it. The system uses a kind of deep learning model called "long short-term memory" and a dashboard that people can interact with as well as a smart chatbot. We collect stock market data, clean it up, and use it to train the long short-term memory model to guess future stock prices. The dashboard shows users a lot of information, including charts, averages, price trends, and market statistics, so they can understand how stocks are doing. The chatbot also answers questions about the stock market and helps users learn about it.

The system was built using Python, Streamlit, TensorFlow, Pandas, Plotly, and the Yahoo Finance API. We tested it. Found that the Long Short-Term Memory model is good at finding patterns in old stock data, and the dashboard and chatbot make it easier for users to understand the information. The tests also showed that all parts of the system work well, including getting data, making predictions, calculating numbers, showing information on the dashboard, and talking to the chatbot. This application is a tool for students, researchers, and people who are new to investing. It also sets the stage for making it better in the future by adding things like looking at how people feel about the market, optimizing portfolios, and adding timely financial news to make predictions more accurate and help people make better investment decisions.

The stock market prediction system uses stock market prediction and long short-term memory and deep learning and a financial chatbot and technical analysis and moving average and time series forecasting and a Streamlit dashboard. The stock market prediction system is based on stock market prediction. It uses Long Short-Term Memory and Deep Learning, and it has a financial chatbot, and it does technical analysis, and it uses moving averages. It does time series forecasting, and it has a Streamlit dashboard.