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Haroon Ayaz

FAST · 2023 · i19-0571
Email
Phone
LinkedIn
GitHub

Academic

Program
BSCS
CGPA
Year
2023
Education
SEECS
Address
DOB

Career

Current role
Target role
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

Haroon Ayaz is a BSCS student who collaborated on a project called Speech Swift, which utilizes deep learning for voice cloning and synthetic speech detection in Urdu. The project involved full-stack development using Android Studio, Python, and Flask, along with model development using PyTorch and Keras.
Skills (AI)
["Python", "Android Studio", "PyTorch", "Flask", "Keras", "Firebase", "Deep Learning", "Voice Cloning", "Speech Recognition", "UI Design", "Data Preprocessing"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 344
Created: 1778169248