Stox Sight AI and Blockchain-Powered Predictive Analytics for Secure Stock and Crypto Markets TCET 04/25 - Current • B.Tech. Project Currently designing and iterating an AI-driven system using Python, Scikit Learn, TensorFlow, and PyTorch to forecast stock and crypto closing prices, with early models showing up to 15% improvement in prediction accuracy on real-time Zerodha API data. • Developing and refining backend processes with FastAPI and Streamlit to automate dynamic PDF report generation, aiming to deliver actionable investment insights and trend analysis for end users. • Progressing on blockchain-based storage integration (Solidity), targeting tamper-proof data logging and enhanced auditability for financial transactions, in line with industry best practices for security and transparency.