Mobile Application Development on Detection and Diagnose of Learning Disability for Children
G. Rajivsureshkumar1, K. Malarvizhi2, G. Deebanchakkarawarthi3

1G. Rajivsureshkumar, Professor, Department of Computer Science and Engineering, JCT College of Engineering and Technology, Tamil Nadu, India.

2K. Malarvizhi, Associate Professor, Department of Computer Science and Engineering, JCT College of Engineering and Technology, Tamil Nadu, India.

3G. Deebanchakkarawarthi, Assistant Professor, Department of Computer Science and Engineering, JCT College of Engineering and Technology, Tamil Nadu, India.

Manuscript received on 04 April 2019 | Revised Manuscript received on 11 April 2019 | Manuscript Published on 26 April 2019 | PP: 216-224 | Volume-8 Issue-6S April 2019 | Retrieval Number: F60590486S19/19©BEIESP

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Learning disability alludes to a huge impairment of general intellectual and adaptive functioning that begins in childhood. Children register their name and attend the test for identifying their learning disability. In the existing system was developed as a mobile application dyscalculia for children in Malaysia during the year 2017.The existing application was developed in native language of Malaysia so it cannot use globally. Though the researches are done, there are no implemented solutions for this problem. In the proposed system presents the detection and diagnose of learning disability. The role of this mobile application will improve the hard life of persons with learning disability. The mobile application system is supporting the individual with learning disability to practice arithmetic and language skills. This application also focuses on the development and brain stimulation of a community with learning disability as a social development service. The Mobile application is developed for registration, information gathering, and disability test through questionnaire using clinical methods. To improve the learning disability to conduct tests for basic arithmetic and language skills. It combines neuron science and computer science in order to find the solution for a community. It develops computational models of attention and memory. The vital goal of this application is to improve brain efficiency of individuals with learning disability.

Keywords: Learning Disability, Detection, Disability test and Improve Brain Efficiency.
Scope of the Article: Computer Science and Its Applications