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Asad Minhas

FAST · 2023 · i19-1731
Email
Phone
LinkedIn
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Academic

Program
CGPA
Year
2023
Education
Address
DOB

Career

Current role
Target role
Skills
Python, NodeJS, OpenCV, mongoDB, Django, React, PyTorch

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.
MockVue
It is a web application for mock job interviews in the field of AI. This is typically for fresh graduates who have little to no experience in giving interviews, especially the ones conducted online. Through our web app, we will offer some reflection and improvement areas for our users. This will in- turn help them prepare for future AI job interviews.
Features include:
- Text Based Question
Answer -Video Based
Question Answer -Speech
To text.
-Question Generation from
dataset -Video Processing frame
by frame -Emotion Detection
-Score Generation
MOCK VUE AUTOMATED AI INTERVIEW SYSTEM
SUPERVISOR Humera Sabir
TEAM
Haris Jafar i19-1690
Asad Minhas i19-1731
Muhammad Millwala i19-1735
OBJECTIVE
A web application that allows users to give virtual mock interviews for jobs in artificial intelligence. In the end a score is generated on the basis of the candidates answering abilities and gestures.
ARCHITECTURE
TIMELINE
ITERATION 1 SEP - OCT
Review Sprint Backlog
Speech-text Model
Score generation
Testing
Learn new technology
UI-UX design
Dataset Generation
Pre-processing
ITERATION 2 NOV-DEC
ITERATION 3 JAN - MAR
Upgrade Speech model
Testing
Facial model training
Integration
Testing
App Deployment
ITERATION 4 MAR-MAY
TOOLS
python node PyTorch mongoDB OpenCV React
Technology Used:
Python, NodeJS, OpenCV, mongoDB,
Django,React
Supervisor Name:
Ms Humera Sabir
Group Members:
Asad Minhas (i19 - 1731)
Haris Jafar (i19-1690)
Muhammad Millwala(i19-1735)
National University of Computer and Science (NUCES), Islamabad Campus | Pakistan

AI enrichment

Asad Minhas is a student at the National University of Computer and Emerging Sciences who developed a web application for AI mock interviews using React, Python, and OpenCV. The project involved implementing speech-to-text, emotion detection, and automated scoring features through a multi-iteration development process.
Skills (AI)
["React", "Python", "NodeJS", "OpenCV", "MongoDB", "Django", "PyTorch", "Speech-to-Text", "Emotion Detection", "Video Processing"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 506
Created: 1778112746