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Muhammad Millwala

FAST · 2023 · i19-1735

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Academic

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Year

2023

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Career

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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

Muhammad Millwala is a student at the National University of Computer and Emerging Sciences who contributed to a capstone project developing an AI-powered mock interview web application. The project involved building a full-stack system using Python, React, and OpenCV to analyze user responses through speech-to-text and emotion detection.

Skills (AI)

["Python", "NodeJS", "React", "Django", "MongoDB", "OpenCV", "PyTorch", "Speech-to-Text", "Emotion Detection", "Video Processing", "Full Stack Development"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 506
Created: 1778169842