← Back to cohort

Haris Riaz

FAST · 2023
Email
haris.riaz10@gmail.com
Phone
+923258302939
LinkedIn
https://www.linkedin.com/in/haris-riaz-691566240/
GitHub

Academic

Program
CGPA
Year
2023
Education
Address
DOB

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.
ole
st
Haris Riaz
+923258302939, haris.riaz10@gmail.com
Akbar Villas, Rawalpindi.
LinkedIn: https://www.linkedin.com/in/haris-riaz-691566240/
[Education
Matriculation (Physics, Chemistry, Computer Science)
Bachelor of Science (Computer Science) 2023
Major: eS Data Engineering, BlockChain, Cloud Computing, Natural Language Processing,
dvanced Programming, Software Engineering, Database Administration
Government Model Science College, Muzaffarabad AJK 2019
F.Sc (Physics, Chemistry, Mathematics)
Army Public School And College System, Muzaffarabad AJK 2017
Projects
Final Project: ColdX a solution for cold chain systems [React, Solidity, Truffle, Ganache, NodeJs]
aims to increase the shelf life of a product with constant temperature monitoring of the products.
‘ColdX is a blockchain-based web application that provides a solution to cold chain systems. ColdX provides security of
the data and transparency to the stakeholders so that they can use the resources at their end more efficiently. ColdX
Semester Projects:
Dodge Em [C++] :
Dodge 'Em is a driving-themed maze game.
‘Cinema Management System [Java, Oracle, Junit testing, JavaFx]:
Designed a Cinema Management System in Java language and developed its all modules.
Supply Chain Management [Solidity, Ganache, Truffle, Web3JS] :
Developed a decentralized supply chain system.
MedFast [MERN] :
Hamaray Bachay [HTML, CSS, PHP, Bootstrap, MySQL]:
‘A web-based school/daycare management system.
TORCS Car Path Prediction [Artificial Intelligence, Kaggle, Python]:
‘A Kaggle competition in the fulfillment of the Artificial Intelligence semester project
‘A web-based medical store application with medicines listed and customers can order the required medicine.
Work Experience
None
Skills & Tools
Professional Skills | Leadership, Interpersonal Skills, Communication, Punctuality.
Technical Skills Python, Solidity, PL/SQL, No SQL, C++, SQL, Django Rest Framework,
Java including JDBC, Java/JavaFx, HTML, CSS, React, NodeJs, JavaScript,
MongoDB, DynamoDB, BigTables, GoLang, CI/CD pipeline, web3.js
Training / Certification
React — The Complete Guide (incl Hooks, React Router, Redux) |Udemy | 2022
Activities
Best Performer Team Protocol in NaSCOn’22
Interests
Video games, Reading books
FINAL YEAR PROJECTS
ole Sa
Lt oN
A web application which will detect the Outfits and recommend the clothes on the basis of event .
The user is asked to insert the picture of any clothes. The model will then detect the clothes and
separate the top, bottom and calculate its mask, after this the top or bottom of the picture is
forwarded and treated as the input , then according to this input the recommended outfit(top or
bottom) will be viewed from the e-commerce store.
Features include:
-E-commerce store from where users can find different clothes.
- Users can detect clothes and categorize them.
- Recommendations of the Outfits.
- Storing the data of the users.
Aweb based application which will recommend
the outfits on the bases of events and style.
Architecture Hie
. i"
= Technology Used:
Python, OpenCV, MongoDB, React, flask,
HTMLS, CSS, TensorFlow,Anaconda
i f Supervisor Name:
a mane Group Members:
Tools
in eb fe) @ oe Muhammad Haris Anwar (i19 - 0608)
O RE een MECI Talha Rashid (i19 - 1986)
Timeline Cloths Database
i sr Group Members
Supervisor M.t ee Anwar
WARDENS AMEE TUMATEAS f Tatha Rashic
St
AR Royal Table Tennis |
Our Final Year project is an Augmented Reality (AR) based Table Tennis game for Android platform
that enables users to play the game without the need for a physical table. It offers both single
player mode where users can compete against Al, and multiplayer mode where they can
challenge their friends using Photon networking for cross-platform compatibility. The game is
designed with precise 3D object recognition and interactions, and incorporates machine learning
algorithms (MADDP) to make the Al opponent challenging and unpredictable. Users can control
the game using their phone's touch screen and experience high-quality gaming in AR.
Features includes are:
e Augmented Reality gaming experience that allows users to play table tennis without the
need for a physical table.
e Single player mode with an Al-powered opponent that's challenging and unpredictable.
e Multiplayer mode with cross-platform compatibility using Photon networking.
e Real-time tracking of ball movement and interactions for precise accuracy.
e 3D modeling of table tennis equipment including table, rackets, and ball for a more
immersive experience.
e User registration for personalized game settings and preferences.
Technology Used:
C#, Unity, ML-Agents, Photon Networking,
Firebase, Visual Studio
Supervisor Name:
Ms. Noor ul Ain
Group Members:
Syed Danial (i19 - 0536)
Asim Kamran (i19 - 0569)
Hamzah Bilal (119 - 0578)
FoleyGen
FoleyGen is a web application that takes video clip from user as input and adds sound effects
automatically to actions in the video clip. This application provides an easy editing solution for
the people who do not have deep understanding of editing and the sounds to select. The users
are returned a lively and attractive video after detecting objects in the video clip, segmenting the
scenes in the video clip, and applying relevant sounds to the actions/ scenes in the video. The
user friendly and simple design of the web application further reduces the complexity for a
layman.
Features include:
e Object Detection
Action Recognition
Automatic sound effects on actions
Background music
Video editing tool
Technology Used:
Python, React, PyTorch, Visual Studio, Flask,
OpenCV, TensorFlow
Supervisor Name:
Dr. Akhtar Jamil
Group Members:
Noor ul Eman (119-0653)
Abdul Ahad (i18-1659)
Nisar Mehmood (i19-0512)
Ra ole
rm SZN
mo ay
-Al 210
FAUST
Automation Assisted Exploratory Testing
Prediction of most
clickable elements
Extension for SUT
Dataset Generation
Tools:
QElask
Identification of Widgets
Objectives:
We are trying to create a universal assistant for testers. It will make the
exploratory testing process more efficient in the industry.
e To make an efficient testing tool for exploratory testers
To make a graphical tracking server that works on every website.
To make a model that identifies the most clickable elements in a web page.
e To show proper Statistics and Error Details
e To automatically generate test scripts for the automation of the testing
process
»,, Automation
-Assisted
~ Exploratory
Testing
A comprehensive tool to improve the efficiency
of exploratory testing process
Supervisor:
Dr. Javaria Imtiaz
° lam
Highlighting the paths ——
of Testers on Server Generating test scripts
Action Tracking
of Testers
Timeline:
‘wee pacer 2023 Stats Management
Generating Graph
MERN
? @28060
Statistics Management
2022 oH
E4 selenium
Technology Used:
Mongo DB, Express, Node JS, React JS,
Selenium, Firefox Add-ons
Supervisor Name:
Dr. Javaria Imtiaz
Group Members:
Muhammad Bilal (119 - 0636)
Muhammad Fozan (i19 - 0507)
Saad Ahmad Jilani (i19 - 0615)
IF ITER & EMERGIN' ENCES =
Stem eN
GoogleTalk
GoogleTalk is a Chromium-based extension that is designed to automate the controls of Google
Applications (such as Google Forms and Google Sheets) using Voice Recognition and Text Analysis
and Interpretation. The extension supports auto-detection of logged in Google accounts for
automatic sharing of Google Apps instances. It records queries from the user and sends the voice
query to the server where it is transcribed into text with proper sentence structure and handling of
different dialects, and the generated text is then passed to a customized Named Entity Recognition
model designed to handle queries specifically targeted to controlling the Google Apps.
The server can be readily deployed using a Docker image as part of the Machine Learning
Operations’ automatization and customization, and the extension is a lightweight and portable
interface that can  be_ readily’ installed on any  Chromium-based _ browser.
Features include:
- Dynamic query detection and inter

AI enrichment

Haris Riaz is a 2023 Computer Science graduate with a focus on Data Engineering, Blockchain, and Cloud Computing. He has built multiple full-stack and AI-driven projects using technologies like React, Solidity, Python, and Unity, but lacks professional work experience.
Skills (AI)
["React", "Node.js", "Solidity", "Python", "Java", "C++", "GoLang", "MongoDB", "SQL", "PL/SQL", "Django", "TensorFlow", "Unity", "C#", "HTML/CSS", "Blockchain", "AI/ML"]
Status: ai_done
Provenance
Source file:
Created: 1777726226