• Advait Dhage
• Zainil Alachiya
• Sanghrash Surwase
• Aniket Magar
• Prof. Sneha Deshmukh

Investing in a group of assets has never been straightforward; the abnormality of the financial market does not enable simple models to anticipate future asset values with more precision. Machine learning, which involves teaching computers to execute activities that would ordinarily need human intelligence, is the leading topic in scientific research right now. This article seeks to create a model utilizing AI, to forecast future stock market values. The primary goal of this research is to determine the precision with which a AI system can predict. Stock market price prediction is a difficult undertaking that has typically required substantial human-computer cooperation. When compared to existing stock price prediction systems, this will produce more accurate results. The network is trained and tested for accuracy with data of varying sizes, and the results are summarized. The purpose of this study is to forecast stock market prices to make more informed and precise investment decisions.

Data Analysis, Stock Prediction, AI, Stock Market.

"Stock Market Prediction using Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.k601-k604, May-2023, Available :http://www.jetir.org/papers/JETIR2305A86.pdf

"Stock Market Prediction using Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppk601-k604, May-2023, Available at : http://www.jetir.org/papers/JETIR2305A86.pdf