Kanza Latif · imagine-talent

Email

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Phone

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GitHub

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Academic

Program

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CGPA

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Year

2019

Education

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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, 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, identified by the enrollment number i19-0550, who collaborated with peers on a project involving mobile and machine learning technologies. The group utilized Android Studio, Flutter, Python, PyTorch, and Colab for their development work.

Skills (AI)

["Android Studio", "Flutter", "Python", "PyTorch", "Colab"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 338
Created: 1778112745