ADVANCED AI FACING VOTING SYSTEM

Abstract

The Stock Price Prediction System is a machine learning-based application designed to predict future stock market prices using historical stock data and analytical algorithms. The system collects stock market data such as opening price, closing price, highest price, lowest price, and trading volume from financial datasets or APIs. By applying machine learning techniques like Linear Regression, Long Short-Term Memory (LSTM), or Random Forest algorithms, the system analyzes patterns and trends in historical stock prices to forecast future stock values. The main objective of this project is to help investors and traders make better financial decisions by providing accurate and data-driven predictions. The system includes data preprocessing, model training, prediction generation, and graphical visualization of stock trends. It also provides a user-friendly interface for viewing stock performance and predicted values. This project demonstrates the practical application of Artificial Intelligence and Data Science in financial analysis. The proposed system reduces manual analysis effort and improves prediction efficiency using automated learning models