Elevating Financial Literacy through AI-Enhanced Real- Time Simulation based Learning

The proposed system revolves around stock prediction and investment through a comprehensive Demat platform. It integrates Time Series and Deep Learning algorithms to forecast stock market trends, aiding investors in informed decision-making. The Time Series analysis captures historical stock data, identifying patterns and trends, while Deep Learning algorithms, like LSTM or RNN, enhance predictive accuracy by learning complex relationships within data. The system's architecture includes a user-friendly Demat platform for seamless investment, providing real-time stock insights, personalized portfolios and risk assessment tools. Registration guidelines prioritize user data security and compliance with financial regulations. This innovative approach aims to empower investors with reliable predictions and streamline the investment process, fostering better financial outcomes. The fusion of advanced algorithms and a user-centric interface marks a significant leap towards a more efficient and data-driven investment landscape.