Sajid Ali
FAST
· 2020
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i16 - 0070
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Academic
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Year
2020
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Career
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Skills
Android Studio, ARCore, TensorFlow, Firebase, Java, Augmented Reality, Deep Learning
Verbatim text
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AR in Kindergarten ARK is an augmented-reality and deep learning based android application developed with the aim of promoting independent learning and enhancement of education in pre-school environments. The target users of this application are children of young age who are aware of a smartphone’s basic functionalities and can point their phone’s camera at the object of their interest. The application detects objects – e.g. pictures from a book’s page or static images from a laptop’s screen – and prepares their dynamic 3D models for deployment. Once an object has been detected, the child can tap any surface in their camera’s view, such as the floor, a nearby table, or perhaps a book’s flat page and the augmented reality model will be generated and deployed at that location. In addition to this, the child can shrink or enlarge the model, learn about the shape, structure, distinguishing qualities, the name of the object or concept, phonetics as well as pronunciation of the object or concept whose model has been deployed on the surface through augmented reality. The application is written in native Java code and has been designed with simplicity and ease of use as a top priority in mind. Teachers or parents can easily demonstrate the application’s usage and benefits to the children so they can use it to learn in their own time. Technology Used: Android Studio, ARCore, TensorFlow, Firebase Supervisor Name: Ms. Amna Irum Group Members: Sajid Ali (i16 - 0070)
Provenance
Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdfFrom job #24 page 190
Created: 1778226128