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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM27568

LEARNABILITY: Detection of Learning Disorders Using Machine Learning

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM27568

Volume:

7 |

12 |

Dec 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM27568

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PASK

Prof A. Siva Kumar

VkD

Vamsi krishna. D

Vr

Varaprasad reddy.G

VrP

Varshini reddy. P

VK

Varshini. K

VG

Varshini. G

VB

Varshith. B

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Abstract

LearnAbility is a trainee model that identifies learning disabilities(majorly dyslexia), offering individuals a private and secure way to understand their cognitive challenges. It is powered by Python and advanced libraries like Pandas and Scikit Learn, the tool that employs AI and machine learning to analyze disorders and enhance accuracy over time. By promoting self- awareness and growth, LearnAbility transforms the conversation around learning disabilities, rather than avoiding the further consequences. This innovation paves the way for inclusive education and mental well-being.

KEYWORDS

Python Machine Learning(Random Forest) Pandas Scikit

Cite This Article

Prof A. Siva Kumar, Vamsi krishna. D, Varaprasad reddy.G, Varshini reddy. P, Varshini. K, Varshini. G, Varshith. B, "LEARNABILITY: Detection of Learning Disorders Using Machine Learning," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 12, Dec 2023. https://doi.org/10.55041/IJSREM27568

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Publication Date

12/15/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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