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Sameet Asadullah

FAST · 2018 · I18-0479

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GitHub

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Academic

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CGPA

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Year

2018

Education

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Address

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DOB

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Career

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Target role

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Skills

Raspberry Pi, React Native, Jupyter Notebook, Google Colab, MongoDB, Python, Go Lang

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.

AutomateIt 
 
A Home automation software to control the appliances at one’s home using Urdu voice command 
or application-based input. The system is responsible for controlling some features of home 
appliances not just by an android app but also with voice which can be heard either from the app or 
the microphone device installed. Turning appliances on or off, changing the AC temperature, 
changing TV channels or playing the next/previous song. All this can be controlled by one’s voice or 
using the app. 
Features include: 
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The system is compatible with multiple accents, gender voices and synonymous words. 
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There is a mobile application in which a user can speak in Urdu to control all the appliances. 
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There is a microphone device installed so that a person could speak directly into it rather 
than speaking in front of the mobile application. 
There is also a feature of controlling the appliances by non-voice input as well i.e., touch on buttons 
in mobile application. 
 
 
 
 
 
 
 
 
Technology Used: 
Raspberry Pi, React Native, Jupyter Notebook, 
 Google Colab, MongoDB, Python, Go Lang 
Supervisor Name: 
Mr. Umair Arshad 
Group Members:   
Sameet Asadullah (I18 - 0479) 
Aysha Noor (I18 - 0591) 
Tayyab Ali (I18 - 0531)

AI enrichment

Sameet Asadullah contributed to a home automation project enabling control of appliances via Urdu voice commands and a mobile application. The system utilized Raspberry Pi, Python, and Go Lang to process voice inputs and manage device functions through a React Native interface.

Skills (AI)

["Python", "Go Lang", "React Native", "Raspberry Pi", "MongoDB", "Jupyter Notebook", "Google Colab", "Voice Recognition", "Home Automation"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdf
From job #25 page 219
Created: 1778170933