Abdul Rafay · imagine-talent

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GitHub

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Academic

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CGPA

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Year

2022

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Career

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Skills

TensorFlow, Android Studio, Google Cloud, Jupyter Notebook

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.

Urdu Assistant is a personal voice assistant for mobile devices. It understands Urdu language and responds to it. The responsibility of this assistant is to control the basic functionalities of the mobile device using voice commands. There are a lot of use cases of our voice assistant, some of them are: - If you have preoccupied hands, you can simply trigger the voice assistant to perform any function you like. - If you ever get stuck in an emergency, voice assistant can really get you help! - While driving, you can control your device without even looking at it. Urdu Assistant can perform the following tasks: - Dial your contacts. - Send Messages. - Open Apps. - Control your Wi-Fi, Bluetooth, Mobile Data etc. - Sets Alarm. - Sets Reminders. Control Volume, Torch and Brightness. Technology Used: TensorFlow, Android Studio, Google Cloud, Jupyter Notebook Supervisor Name: Mr. Umair Arshad Group Members: Abdullah Naveed (I18 - 0654) Abdul Rafay (I18 - 0726) Abdullah Ihsan (I18 - 1654)

AI enrichment

Abdul Rafay is a student who contributed to a group project developing 'Urdu Assistant,' a mobile voice assistant for Urdu language control. The project involved implementing features like dialing contacts, sending messages, and managing device settings using TensorFlow and Android Studio.

Skills (AI)

["TensorFlow", "Android Studio", "Google Cloud", "Jupyter Notebook", "Voice Assistant Development", "Natural Language Processing"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdf
From job #25 page 267
Created: 1778150712