StockSenseAI: An AI-Powered Stock Market Prediction and Analysis Web Application

This research demonstrates the viability of a fully browser-based, AI-augmented stock market analysis platform. StockSenseAI successfully integrates real-time market data, ensemble machine learning price forecasting, LLM-powered news sentiment analysis, and interactive technical charting within a lightweight progressive web application requiring no server infrastructure or software installation. The system's MAPE performance — as low as 1.20% on select large-cap instruments — demonstrates that meaningful predictive accuracy is achievable within a client-side architecture. The integration of Claude AI for news sentiment generation represents a novel application of large language models in retail financial analysis, providing users with the kind of qualitative market intelligence previously available only through expensive professional terminals. By eliminating hardware dependencies and proprietary data subscriptions, StockSenseAI delivers institutional-grade financial analytics as a universally accessible web application, directly addressing the information asymmetry that disadvantages retail investors in contemporary markets.

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