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Ghulam Mustafa Imran

FAST · 2023 · i191776

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Phone

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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

Django, NLP, PyTorch, React, AWS

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.

MarkAid
Developed cutting-edge EdTech solution, designed to revolutionize the education industry. This EdTech platform elevates the Grading experience teachers. The platform boasts a range of advanced features including automatic exam marking, intelligent question answering, and a robust feedback module, providing unparalleled insights and analytics to track student performance and evaluate teacher effectiveness. The platform has the potential to revolutionize the way education is delivered and received.

Team members
Syed Bilal Ahmed i191874
Zuraiz Zahoor Ajaz i191793
Ghulam Mustafa Imran i191776

Supervisor
Dr. Omer Beg

MarkAid
Auto assessment grading platform
AI backed grading assistant that help identify curriculum weaknesses and student's performance

Workflow
User Side
Teacher
Generates Quiz
Student

Backend
Applying Policy
Grading Model
Combine Performance Report

Output
Grade report for each student
Improve Curriculum and MLO

AI Pipeline
Data Extraction
Prompt Generation
Chat GPT
Training
Data Cleaning & Preprocessing
Fine-tune
Model Evaluation
Regression Model

Timeline

Technology Used:
Django,NLP,PyTorch,React,AWS.
Supervisor Name:
DR.Omer Beg
Group Members:
Syed Bilal Ahmed(i19 - 1874)
Zuraiz Zahoor Ajaz (i19-1793)
Mustafa Imran(i19-1776)

AI enrichment

Ghulam Mustafa Imran is a BSCS graduate who contributed to the MarkAid project, an AI-backed EdTech platform for automated exam grading and performance analytics. The project utilized a pipeline involving data extraction, model fine-tuning, and integration with Django, React, and AWS.

Skills (AI)

["Django", "React", "PyTorch", "NLP", "AWS", "Machine Learning", "Data Preprocessing", "Model Fine-tuning"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 505
Created: 1778170171