Generative AI & ML based Stock Market Prediction

Authors

  • Aditya ML UG Scholar, Dept. of ISE, Malnad College of Engineering, Hassan, Karnataka, India Author
  • Deepthi C G Associate professor, Dept. of ISE, Malnad College of Engineering, Hassan, Karnataka, India Author
  • Abhishek H C UG Scholar, Dept. of ISE, Malnad College of Engineering, Hassan, Karnataka, India Author
  • Ayush S L UG Scholar, Dept. of ISE, Malnad College of Engineering, Hassan, Karnataka, India Author
  • Pavan UG Scholar, Dept. of ISE, Malnad College of Engineering, Hassan, Karnataka, India Author

DOI:

https://doi.org/10.47392/IRJAEH.2026.0036

Keywords:

Cnn, Gen AI, Sentiment Analysis, Nlp

Abstract

The Paper Discusses a generative AI and machine learning-based model for predicting the Indian Stock Market, Specifically MLd-Cap Companies Like Thomas Cook, Marksans Pharma, Lti MLndtree, Green, Power, And Idfc First Ayush S Dept Of Ise Malnad College Of Engineering Hassan, India Ayushlakshmeesha2004@GmAIl.Com Pavan Dept Of Ise Malnad College Of Engineering Hassan, India Pavanpinate004@GmAIl.Com Ii. Key Terms 1. Generative AI (Gen AI) Bank. Data and Real-Time He researches incorporates historical stock sentiment to increase the accuracy of predictions. analysis financial news articles and twitter streams are used to capture market sentiment, which is analyzed to DeterMLne Its Effect On Stock Performance. Generative AI models are used to model market trends and investor behavior. machine learning algorithms label sentiment polarity and correlate it with stock price movements. Twitter analysis provides an insight into public sentiment and market mood. the methodology shows how the integration of sentiment and historical information enhances forecasting. This research adds to better, data-driven stock trading decisions.

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Published

2026-01-27

How to Cite

Generative AI & ML based Stock Market Prediction. (2026). International Research Journal on Advanced Engineering Hub (IRJAEH), 4(01), 264-269. https://doi.org/10.47392/IRJAEH.2026.0036

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