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Sarooj Shehryar

FAST · 2022 · I18-0503
Email
Phone
LinkedIn
GitHub

Academic

Program
BSCS
CGPA
Year
2022
Education
SEECS
Address
DOB

Career

Current role
Target role
Skills
React JS, P5.js, Processing 4.0, Tensorflow.js, Visual Studio Code

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.
Scribbling Speech 
 
Scribbling Speech is an application for young children and is made for their edutainment purposes.  
It is a creative application that allows a user to use a Drawing Canvas to an extended set of 
possibilities. It converts your speech input to Drawings and its subsequent Animations for both the 
entertainment of the user and enhancing their learning on how a particular object is made. Why 
Speech? Because we, especially children, imagine the world in spatial constellations. It is easier for 
them to just say what they want to draw/learn to draw. Several other features are also there that 
allow user to save their above said drawings, re watch, learn and redraw either via speech or 
manually. 
Features include: 
- Creating and Animating drawings from real time speech input for edutainment purposes. 
- Teacher Mode to go beyond and further and teach and learn anything in imagination on a canvas. 
- AutoComplete feature to assist a user when drawing manually. 
- Watching previous and newer animations for recreational or learning purposes. 
- Predictor Mode to predict the drawings of user with speech and visual output. 
- Magic Painter for creativity on the canvas with special feature to change color at each stroke. 
 
 
 
 
 
 
 
 
Technology Used: 
React JS, P5.js, Processing 4.0, 
 Tensorflow.js, Visual Studio Code 
Supervisor Name: 
Mr. Hassan Mustafa 
Group Members:   
Syed Murtaza Hassnain Naqvi (I18 - 0595) 
Saifullah Dar (I18 - 0599) 
Sarooj Shehryar (I18 - 0503)

AI enrichment

Sarooj Shehryar is a BSCS graduate who contributed to 'Scribbling Speech,' an edutainment application that converts speech input into drawings and animations using React JS and Tensorflow.js. The project involved collaborative development of features like real-time speech-to-drawing conversion and teacher modes.
Skills (AI)
["React JS", "P5.js", "Processing 4.0", "Tensorflow.js", "JavaScript", "Web Development", "Machine Learning Integration"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdf
From job #25 page 256
Created: 1778170933