Muhammad Sameer Khan · imagine-talent

Email

—

Phone

—

GitHub

—

Academic

Program

BSCS

CGPA

—

Year

2023

Education

SEECS

Address

—

DOB

—

Career

Current role

—

Target role

—

Skills

React, MongoDB, Express, NodeJS, FLASK, PyTorch, Web Scraping, Dataset Creation, Semantic Analysis, Topic Modeling, Text to Voice API, Video Recording

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:
Muhammad Sameer Khan (i19 - 0570)
Muhammad Zohaib (i19 - 0558)
Fajr Naveed (i19 - 0436)

InTrivia
Score your dream job
An interview training platform

Architecture
Web Scraping -> Dataset Creation -> Database -> User Interface -> Interviewee
SCORE -> Report Generation <- Semantic Analysis <- Topic Modeling

Timeline
Sept-Oct: Web scraping for dataset creation, Initial Front-end and Back-end development
Nov-Dec: Data cleaning and tagging, Models Implementation, Further Front and Back-end development
Feb-Mar: Web and models integration, Completion of web, Testing and Improvements, Text to voice API feature implementation, Semantic analysis, Video recording feature implementation
Apr-May

Tools
React, MongoDB, Express, NodeJS, FLASK, PyTorch

Technology Used:
React, MongoDB, Express, NodeJS, FLASK, PyTorch
Supervisor Name:
Mr. Adil Majeed

AI enrichment

Muhammad Sameer Khan is a BSCS student who contributed to a group project named InTrivia, an interview training platform. The project involved full-stack development using the MERN stack and machine learning components for semantic analysis and topic modeling.

Skills (AI)

["React", "MongoDB", "Express", "NodeJS", "Flask", "PyTorch", "Web Scraping", "Semantic Analysis", "Topic Modeling"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 294
Created: 1778140212