Sameet Ikram · imagine-talent

Email

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Phone

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GitHub

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Academic

Program

BSCS

CGPA

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Year

2023

Education

FAST CS

Address

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DOB

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Career

Current role

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Target role

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Skills

Pytorch, Unity, MERN Stack, Flask, ThreeJs

Interests / quote

A website that can automatically generate spokesperson video in urdu language from urdu script.

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.

GROUP MEMBERS
1. 190517 Umair Afzal
2. 1192184 Umer Ahsan
3. 1190707 Sameet Ikram

ANIGEN
AUTOMATED URDU SPOKESPERSON

OBJECTIVES
A website that can automatically generate spokesperson
video in urdu language from urdu script.

ARCHITECTURE
Text
Reference Image
Reference Speech
Web Interface
Text to Speech Model
Speech
Lip sync Model
3D Avatar API
3D Avatar
Video

TIMELINE
SEP - OCT
TTS speech number
TTS Pytorch model
Training speech model
3D avatar creation
Website UI design

NOV - DEC
Text to Speech model
Training TTS model
3D avatar creation
Website UI design

JAN - FEB
Lip sync Model creation
Training Lip sync model
3D avatar creation
Website UI design

MAR - APR
Final Testing
Final Report
Final Presentation

TOOLS AND TECHNOLOGIES
[Icons: Node.js, Python, JS, React, Flask, Node.js]

Technology Used:
Pytorch, Unity, MERN Stack, Flask, ThreeJs

Supervisor Name:
Mr. Saad Salman

Group Members:
Sameet Ikram (i19 - 0707)
Umair Afzal (i19 - 0517)
Umer Ahsan (i19 - 2184)

AI enrichment

Sameet Ikram is a BSCS student who contributed to a university capstone project developing an automated Urdu spokesperson video generator. The project involved building a full-stack web application using the MERN stack and integrating AI models for text-to-speech and lip-syncing.

Skills (AI)

["Python", "PyTorch", "React", "Node.js", "Flask", "Three.js", "Unity", "MERN Stack", "Machine Learning", "Web Development"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 333
Created: 1778112745