The rapid advancements in artificial intelligence (AI) have revolutionized financial investment strategies, offering individual investors innovative tools to optimize decision-making. This study introduces a web-based platform that integrates natural language processing (NLP) and predictive analytics to support investors in making data-driven decisions. The system incorporates an NLP-powered chatbot for real-time investment advice and a Long Short-Term Memory (LSTM) model for precise stock price forecasting. By combining these technologies, the platform simplifies complex investment processes, aiming to improve financial outcomes for users. While the solution demonstrates significant potential in enhancing investment strategies, challenges such as suboptimal model performance and chatbot inaccuracies underscore the need for further development. Addressing these limitations will be critical to ensuring reliability and user satisfaction. This study emphasizes the transformative role of AI in personal finance optimization, paving the way for sustainable financial growth and greater accessibility to advanced investment resources. Future work will enhance model accuracy and refine chatbot interactions to deliver a seamless and integrated user experience.