M Afnan Akram · 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

SEECS

Address

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DOB

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Career

Current role

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Target role

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Skills

Android Studio, Pytorch, Python, Flask, Keras, Firebase, Deep Learning, Voice Synthesis, Voice Dialogue, UI Design, Data Collection, Data Preprocessing, App Development, Model Development, Model Integration, Testing & Validation

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.

Supervisors: Dr. Faisal Cheema & Mr. Saad Salman | Group Members: M Afnan Akram i19-0588 & Haroon Ayaz i19-0571
Speech Swift
Revolutionize your communication with Speech Swift
The ultimate app that uses cutting-edge Deep Learning techniques to clone your voice and detect synthetic speech in Urdu.
ARCHITECTURE
Input
Person A
Person B
Output
TIMELINE
SEP-OCT
UI Design
Research Work
Data Collection
Data Preprocessing
NOV-DEC
App Development
Model Development
Model Integration
Testing & Validation
FEB-MARCH
App Customization
Model Integration
Testing & Validating
APRIL-MAY
TECHNOLOGIES
FAST NUCES, ISLAMABAD CAMPUS
Technology Used:
Android Studio, Pytorch, Python, Flask, Keras, Firebase
Supervisor Name:
Dr. Faisal Cheema & Mr. Saad Salman
Group Members:
M Afnan Akram (i19-0588)
Haroon Ayaz (i19-0571)

AI enrichment

M Afnan Akram is a BSCS student who developed Speech Swift, an Android application utilizing deep learning for Urdu voice cloning and synthetic speech detection. The project involved full-stack development using Python, PyTorch, and Flask, alongside Android Studio for the client interface.

Skills (AI)

["Python", "PyTorch", "Keras", "Flask", "Android Studio", "Firebase", "Deep Learning", "Voice Cloning", "Data Preprocessing", "UI Design"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 344
Created: 1778169248