• Chakravaram Sai Praneeth
• Komarapu Phani Babu
• Chandaka Jahnavi
• Gadiraju Sai Deepak Phani Varma
• Ulisay Hari Hara Siva Subrahmanyam

This project develops a scalable, secure, and user-friendly technological solution that enhances efficiency and accuracy. It integrates automation, data processing, and intelligent decision-making using machine learning models like Support Vector Regression, Random Forest, XGBoost, and Long Short-Term Memory networks, with ensemble learning improving prediction accuracy. Built with Python, TensorFlow, and Flask, it enables real-time data processing via API integrations, employing MinMaxScaler for normalization and AI-driven Retrieval-Augmented Generation for better information retrieval. Extensive research and testing validate its effectiveness, with future advancements ensuring continued innovation and adaptability.

Machine Learning, Deep Learning, Ensemble Learning, Data Preprocessing, API Integration, Real-time Data Processing, Predictive Analytics, Workflow Optimization, Scalability, Automation.

"ADVANCE STOCK MARKET PREDICTION USING HYBRID AI MODELS AND MARKET SENTIMENT INSIGHTS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 4, page no.a178-a184, April-2025, Available :http://www.jetir.org/papers/JETIR2504026.pdf

"ADVANCE STOCK MARKET PREDICTION USING HYBRID AI MODELS AND MARKET SENTIMENT INSIGHTS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 4, page no. ppa178-a184, April-2025, Available at : http://www.jetir.org/papers/JETIR2504026.pdf