Aaema Zainab Pirzada · imagine-talent

Email

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Phone

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GitHub

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Academic

Program

BS Computer Science

CGPA

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Year

2019

Education

FAST NUCES

Address

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DOB

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Career

Current role

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Target role

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Skills

TensorFlow, Python, Node.js, OpenCV, SciKitLearn

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.

Aaema Zainab Pirzada (i19 - 0509)
GROUP MEMBERS
Aaema Zainab Pirzada (i19 - 0509)
Faria Eman (i19 - 0634)
Eman Hassan (i19 - 2045)
HIRE-IT SMART HIRING TOOL
THIS WEB APPLICATION REVOLUTIONIZES HR ASSESSMENT BY HELPING RECRUITERS EVALUATE CANDIDATES ON IMPORTANT SKILLS SUCH AS FACIAL MOVEMENTS, EMOTIONS, GRAMMAR, AND ENGLISH FLUENCY. ITS ADVANCED FEATURES PROVIDE A COMPREHENSIVE EVALUATION, STREAMLINING THE RECRUITMENT PROCESS.
WORKFLOW
AUTHENTICATE USER
UPLOAD INTERVIEW
OBJECT DETECTION
MONITOR PERSONALITY TRAITS
USER PROFILING
ENGLISH LANGUAGE FLUENCY
VOICE ANALYSIS
FACIAL FEATURES
GRAMMATICAL MISTAKES
TIMELINE
JAN-FEB: FRONTEND, PREPROCESSING, BUSINESS MODELLING
MAR-APR: DATASET COLLECTION, FEATURE CLASSIFICATION, MODEL TRAINING
SEP-OCT: MODULE 2 TRAINING, TESTING AND PERFORMANCE CONTROL
NOV-DEC: DEPLOYMENT, INTEGRATION, TESTING
TOOLS & TECHNOLOGIES
node python OpenCV SciKitLearn TensorFlow
Technology Used:
TensorFlow, Python, Node.js, OpenCV, SciKitLearn
Supervisor Name:
Dr. Khubaib Amjad Alam
Group Members:
Aaema Zainab Pirzada (i19 - 0509)
Faria Eman (i19 - 0634)
Eman Hassan (i19 - 2045)

AI enrichment

Aaema Zainab Pirzada is a Computer Science student who contributed to a group project developing a web application for HR assessment using AI. The project involved implementing facial movement detection, emotion analysis, and language fluency evaluation using Python and TensorFlow.

Skills (AI)

["Python", "TensorFlow", "Node.js", "OpenCV", "SciKitLearn", "Machine Learning", "Computer Vision", "Web Development"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 349
Created: 1778169842