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Sajid Ali

FAST · 2020 · i16 - 0070
Email
Phone
LinkedIn
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Academic

Program
CGPA
Year
2020
Education
Address
DOB

Career

Current role
Target role
Skills
Android Studio, ARCore, TensorFlow, Firebase, Java, Augmented Reality, Deep Learning

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
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)

AI enrichment

Sajid Ali is a student who contributed to the development of AR in Kindergarten, an Android application utilizing augmented reality and deep learning for preschool education. The project involved implementing object detection and 3D model deployment using native Java, ARCore, and TensorFlow.
Skills (AI)
["Android Development", "Java", "ARCore", "TensorFlow", "Firebase", "Augmented Reality", "Deep Learning"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdf
From job #24 page 190
Created: 1778144136