• Dinesh Kumavat
• Prakash Kushwaha
• Harish Dalai

Indian stock markets are characterized by high growth and volatility. Therefore, there is an immense demand for more sophisticated analytics tools such as Artificial Intelligence to define trends correctly. Thus, this review paper aims at discussing the application of AI in forecasting trends in the Indian stock market. This may include machine learning, deep learning, or natural language processing as many AI techniques have the potential to analyze big data and establish complex patterns. Now, for this paper, I discuss key studies and models involving neural networks, support vector machines, and reinforcement learning in the Indian context. Moreover, integration of sentiment analysis from social media to news sources enhances its prediction accuracy. Despite promising results, there are issues related to data quality, model overfitting, and dynamic nature of financial markets as noted.

Artificial Intelligence (AI), Stock Market Prediction, Indian Stock Market, Machine Learning, Deep Learning

"AI-Driven Prediction of Stock Market Trends in the Indian Market", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.c233-c238, November-2024, Available :http://www.jetir.org/papers/JETIR2411230.pdf

"AI-Driven Prediction of Stock Market Trends in the Indian Market", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppc233-c238, November-2024, Available at : http://www.jetir.org/papers/JETIR2411230.pdf