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Kanza Latif

FAST · 2019 · i19-0550
Email
Phone
LinkedIn
GitHub

Academic

Program
CGPA
Year
2019
Education
Address
DOB

Career

Current role
Target role
Skills
Android Studio, Flutter, Python, Pytorch, Colab, Deep learning, Computer vision, Image processing, Audio Cleaning, Feature Extraction, Feature Selection, Model Training, Models evaluation, Testing I, Integration, Final Adjustments, Testing III, Deployment, Learn required Technologies, Software Design and Architecture, Basic UI/UX Designing, Integration of Cry Analysis model with application, AI based growth analytics, Monitoring, Testing II

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
Kanza Latif i19-0550
Mubrra Asma i19-0699
M.Haris i19-0740

Tools & Technology Used:
Android Studio, Flutter, Python, Pytorch, Colab

Group Members:
Kanza Latif(i19 - 0550)
Mubrra Asma (i19 - 0699)
M. Haris (i19 - 0740)

AI enrichment

Kanza Latif is a student with ID i19-0550 who collaborated with peers on a project utilizing Android Studio, Flutter, Python, and PyTorch. The provided text lists tools and group members but lacks specific details about the project scope or individual contributions.
Skills (AI)
["Android Studio", "Flutter", "Python", "PyTorch", "Google Colab"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 338
Created: 1778169248