Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Stock Price Prediction using Deep Learning and FLASK Subject The topic of the resource Deep Learning; Kaggle; LSTM; RNN; Stock Prediction Description An account of the resource The forecasting of stock prices is one of the most explored issues, and it attracts the attention of both academics and business professionals. It is quite difficult to make predictions about the stock market, and it takes extensive research into the patterns of data. With the expansion of the internet and indeed the growth of social media, online media and opinions frequently mirror investor sentiment. The volatility and non-linear structure of the financial stock markets makes accurate forecasting difficult. One of the sophisticated analysis techniques that is being used by academics in a variety of fields is the neural network. In this paper, we proposed deep learning techniques for google stock price prediction. A dataset from Kaggle was collected and applied deep learning techniques RNN, LSTM variants. We achieved better results with Bidirectional LSTM. We also created a web app for stock prediction using Christ University python FLASK. 2022 IEEE. Creator An entity primarily responsible for making the resource Lakshmanarao A.; Babu M.R.; Gupta C.; Lakshmi A.S.G. Source A related resource from which the described resource is derived Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSES55317.2022.9914347" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSES55317.2022.9914347</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141527949&amp;doi=10.1109%2FICSES55317.2022.9914347&amp;partnerID=40&amp;md5=d9637e795e7dda1b281712d9ab792de9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141527949&amp;doi=10.1109%2fICSES55317.2022.9914347&amp;partnerID=40&amp;md5=d9637e795e7dda1b281712d9ab792de9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547413-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Lakshmanarao A., Aditya Engineering College, Department of IT, Surampalem, India; Babu M.R., Aditya Engineering College, Department of IT, Surampalem, India; Gupta C., Christ University, School of Commerce, Finance and Accountancy, India; Lakshmi A.S.G., Mallareddy College of Engineering Maisammaguda, Department of CSE, Dhulapally, Secunderabad, India