Zeeshan Ikram · imagine-talent

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GitHub

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Academic

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CGPA

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Year

2022

Education

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DOB

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Career

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Target role

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Skills

PyTorch, React Native, JS, Python, Blender, Django

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.

Haath Ki Baat 
 
HaathkiBaat is a mobile application that will be built to assist deaf people for understanding 
conversations with hearing people and vice versa. It will take Urdu speech as input and convert it 
into Pakistani Sign Language which will be shown through an avatar appearing on mobile screen. 
Features include: 
-Taking Input from the mic button 
-Converting of Urdu Speech into Pakistani Sign Language. 
-Sign Language will be displayed on screen using an avatar. 
 
 
 
 
 
 
 
 
 
 
Technology Used: 
PyTorch, React Native, JS, Python, Blender, Django 
Supervisor Name: 
Mr. Saad Salman 
Group Members:   
Zeeshan Ikram (I18 - 0660) 
Sundus Khalid (I18 - 0666)

AI enrichment

Zeeshan Ikram is a student who contributed to a mobile application project designed to assist deaf individuals by converting Urdu speech into Pakistani Sign Language. The project utilized a team-based approach involving speech-to-sign conversion and avatar visualization.

Skills (AI)

["PyTorch", "React Native", "JavaScript", "Python", "Blender", "Django"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdf
From job #25 page 231
Created: 1778170963