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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Prediction of Underlying Skin Type of An Eye and Percentage Using Machine Learning
Authors Name: K. Sai Theja , V. Rama devi , V.Poornima , V. Harsha Vardhan , P .Hemanth Kumar
Unique Id: IJSDR2304114
Published In: Volume 8 Issue 4, April-2023
Abstract: In future, when the huge number of patients need to consult the eye doctor for any cause or if number of cases handled by the doctor is in high rate or if they want to know their eye problem and whom they want to consult. In these cases, if they are not in position to consult eyecare hospitals. For this They can use an application, and which uses machine learning and gives a prediction. There are many parts like giving picture of nerve system of an eye, colour of sclera, underlying skin of an eye, etc. As a part of this, here we are using the machine learning to predict the type of underlying skin of an eye, this is the one of the predictions that helps the doctor to know about the underlying skin of an eye and to suggest the person to whom they want to consult and what the problem they are undergoing. For this the person just need to take the picture of his and submit, that helps us to identify his/her underlying skin of an eye using machine learning. The simple thing is the doctors can be able understand ea
Keywords: Open CV, Numpy Pandas, Tensor Flow, Kera, Eye, Disease, Prediction, Vision, category, percentage.
Cite Article: "Prediction of Underlying Skin Type of An Eye and Percentage Using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.624 - 627, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304114.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2304114
Registration ID:205203
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 624 - 627
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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