Haroon Ayaz
FAST
· 2023
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i19-0571
Email
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Phone
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LinkedIn
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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
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 integration and testing.
Skills (AI)
["Python", "Android Studio", "PyTorch", "Flask", "Keras", "Firebase", "Deep Learning", "Voice Cloning", "Data Preprocessing", "UI Design", "Model Integration"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdfFrom job #14 page 344
Created: 1778169842