Stock-GPT

Author(s)	Shreyas N M, Pradip Kumar Das, Sanath Prasanna Rajur
Country	India
Abstract	This project entails enhancing the accuracy of OpenAI Chat GPT-3.5 Turbo by training it with a carefully selected dataset of Q&A related to the Indian stock market. By leveraging Flask, we develop a user-friendly interface that provides easy access to valuable insights for making informed decisions. Our goal is to equip users with a deep understanding of stock market dynamics, assisting both investors and enthusiasts in navigating the intricacies of financial markets. By blending advanced NLP methods with intuitive interface design, we strive to create a smooth interaction experience that boosts engagement and encourages informed financial choices.
Keywords	AI, Stocks, GPT
Field	Engineering
Published In	Volume 6, Issue 3, May-June 2024
Published On	2024-05-17
Cite This	Stock-GPT - Shreyas N M, Pradip Kumar Das, Sanath Prasanna Rajur - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.20104
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.20104
Short DOI	https://doi.org/gtvt3h

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