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  Published Paper Details:

  Paper Title

REVIEW ON DATA VISUALIZATION AND PREDICTION USING MACHINE LEARNING TECHNIQUES

  Authors

  Suraj Purushottam Gulhane,  Dr. A. B. Raut

  Keywords

Optical Character Recognition, Machine Learning, Image Processing.

  Abstract


The paper is about optical character recognition with image processing and machine learning techniques. The machine learning technique is the core part of this model. Optical character recognition which reads each character through image. here in proposed system our application is designed to work on multiple application like for college, shops, hospitals, ect. by using the smart phone it need to capture real time image of name of place and then this application will extract text from image and predict the match data using different machine learning technique and search for information related to respected place and get entire details. Most of the people in our country love to travel, shopping, etc. and it is commonly seen that we don't have information about some places so it is difficult to ask any person about some place because of language barrier or may be any other problems. As the solution of this problem, we are developing an web application that will help user to get out details of any place such as college, shop, mall, hotel, restaurants, ctc.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2203107

  Paper ID - 216662

  Page Number(s) - a817-a820

  Pubished in - Volume 10 | Issue 3 | March 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Suraj Purushottam Gulhane,  Dr. A. B. Raut,   "REVIEW ON DATA VISUALIZATION AND PREDICTION USING MACHINE LEARNING TECHNIQUES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 3, pp.a817-a820, March 2022, Available at :http://www.ijcrt.org/papers/IJCRT2203107.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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