Azaz ul Haq · imagine-talent

Email

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Phone

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GitHub

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Academic

Program

BSCS

CGPA

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Year

2019

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

MERN Stack, Machine Learning, Python, HTML, CSS, OCR

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:
Hassan Sohail - i191785
Zoha Tariq - 191997
Azaz ul Haq - 192000

Social Guardian
Cyber Harassment Detection and Reporting Web-portal

Victim
Upload Evidence
Text Extraction
Evidence Analysis
Context Awareness
Seek Support
Severity Classification
Redirect to FIA

Iteration 1
Data Collection
Documentation
User Registration
Module Frontend

Iteration 2
User Registration
Module Backend
User Registration
Testing
Case Analysis
Module Overview

Iteration 3
Case Analysis
Module Backend
Case Analysis
Testing
Victim Support
Module Frontend

Iteration 4
Victim Support
Module Backend
Final testing

Technology Used:
MERN Stack | Machine Learning | Python | HTML | CSS | OCR
Supervisor Name:
Mr. Muhammad Abdullah Abid
Group Members:
Hassan Sohail (i19 - 1785)
Zoha Tariq (i19 - 1997)
Azaz ul Haq (i19 - 2000)

AI enrichment

Azaz ul Haq is a BSCS graduate who contributed to a group project developing a web portal for cyber harassment detection using the MERN stack and Python. The project involved implementing features such as OCR, evidence analysis, and severity classification through iterative development cycles.

Skills (AI)

["MERN Stack", "Python", "Machine Learning", "HTML", "CSS", "OCR", "Web Development", "Backend Development", "Frontend Development"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 409
Created: 1778140213