Zukhraf Arshad

Academic

Verbatim text

Zukhraf Arshad
03003204619
G10/2 Street 16 , Islamabad
LinkedIn:
Education
Fast Nuces Islamabad
BS(SE)
Cloud Computing, Mobile Development , Software Project Management, Software Quality Assurance,
UI/UX
Punjab College Gujrat
Physics, Mathematics, Chemistry
Maths, Physics, Computer
Projects
Final Project:
TravEra (Firebase, Android Studio, Java, Figma)
A travel planning app that offers a combination of AI-driven personalized recommendations, immersive VR tours, and
seamless integration with travel vendors.
Semester Projects:
Bus Management System (Mern Stack, Docker hub, AWS)
Using mern the help of DockerHub and deployed it through AWS.
Database Management (mongodb, MySQL)
Implemented MySQL database to store and manage customer data for e-commerce websites.
Work Experience
UI/UX Intern , RADWA
June 2023 - August 2023
In depth learning experience of UI/UX designing and managing real corporate pressure.
Skills & Tools
Professional Skills:
Leadership, Teamwork, Good Communication, Problem Solving, Creativity
Technical
Skills:
Figma, Java, C/C++, Python, MERN Stack, MySQL, JavaScript/React.js, Firebase, Mobile App
Development, Unity, MongoDB
Achievements
--
Training / Certification
Certification of managing an event of Nascon
Internship Certification at RADWI
Activities
Managerial Role in Nascon.
Participated in UI/UX competitions at softec.
Vice President of Music Society
Interests
Exploring Tech, Creativity, Management , Travelling
zukhrafarshad29@gmail.com
https://www.linkedin.com/in/zukhraf-arshad-3960771a1
Majors:
Pre-Engineering (
)
Matriculation (
)
Aamdan Freelancing Platform
Aamdan is a freelancing platform designed to cater to the dynamic needs of freelancers
and clients across the globe. Recognizing the surge in demand for freelancing due to
the flexibility and opportunities it offers, Aamdan introduces an innovative approach to
streamline and enhance the freelancing experience. Our platform is built on a
microservices architecture, ensuring modularity and scalability, essential for
accommodating the ever-growing community of freelancers and clients.
Key Features
Microservices Architecture-Scalability & Modularity: Easily adapts to the increasing
demand, allowing for the seamless integration of new features and services.
Recommendation
System:
Tailored
Suggestions:
Provides
personalized
recommendations to both clients and freelancers, enhancing matchmaking efficiency
and project success rates.
AI-Powered Tools: Workflow Optimization: Utilizes artificial intelligence to offer tools that
streamline project management, communication, and task execution for both freelancers
and clients.
Technology Used:
Python, Firebase, React, Express,
Node, AWS, Flask, Flutter,
Microservices
OpenAi Api, Stripe
Supervisor Name:
Dr. Khubaib Amjad Alam
Group Members:
Hassan Sultan (20i-0433)
Contact no:
0317-7374986
Yashl Ammar (20i-0909)
Contact no:
0332-0988448
Sheikh Muhammad Saad (20i-0919)
Contact no:
03345750840
ADVision
where healthcare infrastructure struggles to keep pace with the growing population and
increasing life expectancy. Addressing this critical need for innovative solutions, we
introduce ADVision – a pioneering project aimed at revolutionizing Alzheimer's disease
detection and diagnosis through deep-learning MRI analysis and AI-driven diagnostics.
Features Include:
1. Alzheimer's Disease Detection:
Utilizing deep-learning algorithms to classify MRI scans into four distinct categories: Non-
Demented, Very Mild AD, Mild AD, and Moderate AD. Precise stage detection enables
early identification of Alzheimer's disease, reducing treatment delays and improving
patient outcomes.
2. Dataset Utilization:
Integration of two datasets, including Kaggle and OASIS-1, totaling 6416 MRI scan
images classified into four categories. Application of feature extraction and data pre-
processing techniques to enhance dataset quality and model accuracy.
3. Deep Learning and Machine Learning Model Development:
Implementation of various deep and machine learning models to train the dataset and
establish a baseline model. Fine-tuning of models to improve accuracy and address
overfitting issues, ensuring robust performance in Alzheimer's disease detection.
4. Web Application Integration:
Embedding the developed model into a user-friendly web application tailored for medical
professionals. Providing instant diagnostics and stage identification, facilitating improved
doctor-patient communication and decision-making.
Technology Used:
Tensorflow, Keras, OpenCV, Flask,
MERN, Github, Python, Scikit-Learn
Supervisor Name:
Dr. Labiba Fahad
Group Members:
Amna Salahudin (i20 - 0488)
Cell #: 03335644158
Eeman Qadeer (i20 - 0911)
Cell #: 03335477854
Ayesha Ahmed (i20 - 2424)
Cell #: 03338412491
Seekho
Seekho is a web-based learning management system (LMS) designed to revolutionize the
educational experience for both teachers and students. By leveraging the power of
Artificial Intelligence (AI), Seekho offers a suite of intelligent features to enhance content
delivery, assessment, and student engagement. Target audience of Seekho are
Educators across various disciplines looking for an efficient platform to create and deliver
interactive learning materials and Learners seeking a personalized and engaging learning
experience with AI-powered assessments.
The basic flow of the application goes as: Teacher uploads video lectures and Seekho's
AI engine automatically analyzes the video content. Based on the video content, the AI
generates quizzes with relevant questions. The AI intelligently segments the video based
on content changes (e.g., new topics, examples). This allows students to easily navigate
to specific sections of the lecture. Basically, it is a Secure and centralized platform for
storing and managing learning materials with Progress tracking and reporting for both
students and teachers.
Technology Used:
ReactJS, NodeJS, ExpressJS, MongoDB,
Python, Flask, VSCode
Supervisor Name:
Dr. Asif Muhammad Malik
Group Members:
Aans Rehman Khan (i20-0865)
(03185428090)
Huzefa Tanveer (i20-0954) (0301
3522286)
Hassan Rasool (i20-0767) (0301 7378891)
ARealm
ARealm aims to revolutionize the traditional campus experience by leveraging augmented reality (AR)
technology. This project brief outlines the limitations of current campus interactions and proposes
solutions such as AR profiles for identity and connections, immersive learning experiences through AR
annotations, AR navigation, and digital enhancements for a transformative campus experience. The
business opportunity lies in tapping into the demand for immersive educational environments and
potentially expanding AR applications to advertising. Objectives include developing a feature-rich AR
mobile app, interactive campus navigation, customizable user profiles, real-time user overlays, a 3D
character based Urdu voice chatbot, and image recognition for academic information retrieval. The
project scope covers comprehensive AR app development, integration of data sources, UI design,
testing, and ensuring compatibility with Android platforms.
Features:
 Social connections through Facial recognition in AR.
 Indoor navigation of campus in AR.
 3d character-based voice enabled Urdu chatbot.
 Image recognition in AR to show various information like timetable and teacher’s schedule.
Technology used:
Unity, C#, Visual Studio, Firebase, GitHub, Canva,
AWS, OpenAI
Supervisor:
Ms. Noor ul Ain
Members:
Umar Waheed (i20-0926)
Contact: 0336 4154044
Abdul Moiz (i20-0942)
Contact: 0317 7521629
Automated Clinical Notes Generation System
The Automated Clinical Notes Generation System represents a groundbreaking
advancement in healthcare documentation, offering an innovative solution to streamline the
extraction of clinical insights from patient-doctor interactions. By harnessing natural
language processing technologies, this system transforms raw audio recordings into
meticulously structured clinical notes with unparalleled precision and efficiency. Not only
does it address the urgent need for accurate and accessible healthcare records, but it also
seamlessly integrates with the evolving landscape of digital health, facilitating
comprehensive data analysis and informed decision-making. Key features include:
- Automated transcription and organization of audio data
- Integration of NLP capabilities
- Optimization of documentation workflows for increased efficiency and accessibility
- Generation of highly accurate clinical notes to support clinical decision-making
- Reduction of manual labor in documentation tasks, allowing healthcare professionals to
focus on patient care
- Alignment with digital health trends for enhanced data management and analysis
capabilities.
Technology Used:
MERN Stack, Github, Flask, NLTK
Supervisor Name:
Dr. Behjat Zuhaira
Group Members:
Usayd Ather 20i0907 (0333 8129912)
Muhammad Awais 20i1772 (0318
0586917)
Saad Shafiq 20i1793 (0311 7718437)
BloomEase
The mobile application aims to enhance the gardening journey of plant enthusiasts by
integrating technology with the natural world. This initiative caters to the growing trend of
gardening and plant care, offering a digital solution to common challenges faced by new
gardeners. The app holds admin and user views to ease in the tasks each side of the app
audience needs to perform. Users can identify plants via image recognition and purchase
them via the ecommerce store and marketplace. Selling of plants using the marketplace is
also allowed. Both AI-driven and community driven platforms are available for queries and
information exchange. Admins can keep track of the users, orders, and products available
in the application and take actions as needed.
Features of the app include:
- Plant Identification
- E-commerce Platform
- Marketplace
- Plant Care Chatbot
- Community Platform
Technology Used:
React-Native, Node JS, Express JS,
MongoDB, Python, Flask, Visual Studio
Supervisor Name:
Dr. Asif Muhammad
Group Members:
M. Rahbar Zahid (i20 - 1782) (0331-
5333230)
M. Ahsan (i20 - 0966) (0300-9877917)
Umair Farooq (i20 - 2361) (0334-
5188537)
Brainy Mingles
This is a mentorship platform designed for students and mentors to engage in meaningful
interactions. The platform offers three perspectives – Student View, Mentor View and
Faculty View. In the Student View, students can access features to find suitable mentors,
bid for mentorship sessions, receive mentor recommendations, find FYP groups from the
FYP recommendations, post announcements and participate in study sessions. If a
student experiences inappropriate behaviour from a mentor, they have the option to report
that mentor. The Mentor View enables mentors to manage their profiles, schedule
sessions, view bidding requests, upload valuable educational material, post
announcements and communicate with students. The Faculty View is responsible for
viewing and blocking the reported list of users, and approving or deleting the
announcements posted by the students and mentors.
Technology Used:
Flutter, Visual Studio, GitHub, MongoDB,
Node JS, Express JS, Figma, Python,
Firebase
Supervisor Name:
Ms. Maheen Arshad
Group Members:
Aimen Arshad (i20 - 2375)
Cell# 0312-5177011
Muqadisa Ejaz (i20 - 2301)
Cell# 0333-5833079
Maria Wasif (i20 - 1872)
Cell# 0309-8599994
BuildEase-Home Construction
The BuildEase Construction Project Management Software is a dedicated solution tailored
for the unique challenges of residential development projects. With a stakeholder-centric
approach, it streamlines project workflows from initiation to completion. Key features
include robust scheduling and task management tools for efficient project planning, real-
time updates , by addressing the specific needs of project managers, contractors,
engineers, managers, clients, inspectors, and equipment managers, BuildEase ensures
seamless coordination among stakeholders, ultimately driving successful project delivery
within budget and to the highest quality standards. In addition to robust scheduling and
task management tools, it offers advanced capabilities such as cost estimation and AI-
based floor map generation. Through accurate cost estimation, construction companies
can optimize budgeting and resource allocation, ensuring projects stay on track financially.
The AI-based floor map generation simplifies the planning process by automatically
generating floor plans based on design specifications, saving time and streamlining the
initial stages of project setup.
Technology Used:
Python, React.js, Next.js, Node.js,
Langchain, chromadb,aws, github
Supervisor Name:
Dr.Atif jilani
Dr.uzair khan
Group Members:
Shaf Shafiq (i20 - 1864)
Cell# 0300-7553315
Muqadus Zulfiqar (i20 - 1838)
Cell# 0336-9644985
Hammad Mansoor (i20 - 0929)
Cell# 0315-5730243
CHAT-ECO: AI CHATBOTS GENERATOR
Businesses, including small enterprises, face challenges in customer communication,
guidance, onboarding, and addressing frequent queries. Existing solutions, often
generic and challenging to personalize, come with high fees and limited adaptability.
Small businesses, in particular, struggle to access, personalize, and effectively utilize
chatbots. Our project aims to bridge this gap by providing a comprehensive chatbot
solution that is not only accessible but also customizable to meet diverse business
needs.
Features include:
 Chatbot Creation: Tailor chatbots with your own data to suit specific needs.
 Interactive Testing: Assess and refine your created chatbot's functionality
through an intuitive testing interface.
 Multi-Platform Integration: Including WebApps, Mobile Apps, Static Apps
 Performance Monitoring: Monitor chatbot performance in real-time by tracking
interactions and responses.
 Profile Management: Effectively manage your profile on the dashboard,
including the capability to update personal information seamlessly.
Technology Used:
MERN Stack, NextJs, AWS ECS,
Firebase, Redis, Flask, Version
Control (Github)
Supervisor Name:
Dr Behjat Zuhaira
Group Members:
Shahid Hameed (i20-0980)
(0341-4448638)
Abdullah Malik (i20-0930)
(0300-4579036)
Ehsan Rasul (i20-1812)
(0307-9378962)
Ciseaux | Automated Tailoring
Solution
Ciseaux presents an innovative automated tailoring solution that aims to revolutionize the
traditional tailoring process. By leveraging advanced technology, including automated
measurements generation from a user's 10-second video and virtual try-on capabilities,
Ciseaux offers a seamless and personalized tailoring experience. With a user-friendly
mobile application for customers and a comprehensive web application for administrators,
Ciseaux streamlines the entire process from measurement collection to garment selection
and ordering. This platform not only saves time and effort for users but also enhances the
online shopping experience by allowing customers to visualize how different garments will
fit and look on their body virtually. Ciseaux stands as a beacon of innovation in the fashion
industry, promising a future where personalized, custom-fit clothing is accessible to all.
Features include:
 Automated Measurements Generation.
 Virtual Try On.
 Mobile App: Order Placement, Order Tracking.
 Web App: Order Management, Employee Management, Inventory Management.
Technology Used:
MERN Stack, React Native,
OpenCV, Open Pose, Media-
pipe, TensorFlow,
Docker
Supervisor Name:
Ms. Shehla Saif
Group Members:
Zeeshan Ali (i20-0906)
0342-055086
Abdul Mannan (i20-0905)
0317-5504652
Khizer Tariq (i20-0773)
0315-6898110
ClassifAI-Automated issue report classification
Issue reports in software development process, serve as a critical conduit for users to
communicate encountered problems or articulate requests for new features. These reports
find management and tracking through specialized systems known as Issue Tracking
Systems (ITSs), offering a comprehensive suite of functionalities, including issue
assignment to developers, progress monitoring, and issue prioritization. The systematic
classification of these issue reports emerges as an essential task, ensuring streamlined
and effective management within the overall development process.
The classification of issue reports involves organizing them based on various criteria, such
as issue type (e.g., bug, feature request, question), severity, or priority level. A meticulous
classification process guarantees that each issue report is directed to the appropriate
individual or team; for instance, bug reports are routed to developers, while feature
requests are directed to product managers. Moreover, this classification facilitates the
prioritization of issues, enabling developers to promptly address critical problems.
Additionally, categorization supports the continuous
monitoring of issue progress, from the initial reporting phase to eventual resolution.
Technology Used:
GitHub, Docker, AWS, Collab Pro,
ROBERTA based LLM models, MERN
stack, Visual Studio
Supervisor Name:
Dr. Khubaib Amjad Alam
Group Members:
Ashish Jumani (i20 - 0494)
0341-0294765
Harris Aamir (i20 - 0943)
0333-4297489
Muhammad Uzair (i20 - 2341)
0334-0590523
CogniDraw (Diagram Automation Tool)
CogniDraw aims to revolutionize software engineering by automating the labour-intensive
process of generating visual diagrams through advanced Natural Language Processing
(NLP) and rule-based approaches. With a user-friendly interface, swift real-time diagram
generation,
and
customizable
features,
CogniDraw
enhances
productivity
for
professionals and serves as a valuable learning tool for students. The project
encompasses user management, NLP integration, diagram generation, and experience
enhancement features, offering a comprehensive solution for diagram creation and
management. The tool can generate diagram from user’s text prompts within seconds.
Key Features:
User Registration and Profile Management
Natural Language Processing (NLP) model training and Integration
Pseudocode Generation
Real-Time Diagram Generation
Diagram Management (History, Modification, Deletion)
Theme Customization and Diagram Expert Functionality
Technology Used:
MERN stack, Python, NLP, Visual Studio
Code, Google Colab, AWS
Supervisor Name:
Ms. Maheen Arshad Malik
Group Members:
Usman Sharjeel (i20 - 0880) - 0300
9701805
Noor Ahmad (i20 - 2343) - 0331 2826716
Soban Ali (i20 - 1775) - 0310 7305247
DANAI-Dyslexia Assistance Network and Academic Improvement
mobile platform integrated with the Orton Gillingham method and Game Based Intervention (GBI)
techniques. It addresses this urgent issue by providing personalized learning exercises tailored to
individual needs using Modified Item Response Theory (MIRT). The app engages users with interactive
games, supported by elements from the Self-Determination Theory (STD). There are two views of this
app: Guardian Section, and Children Section, which ensure an engaging and supportive experience for
children while providing essential oversight tools for guardians, fostering an inclusive and growth-
oriented environment.
Major Features include:
For Children:

Interactive challenges divided into 6 phases to streamline learning.

Optical Character Recognition (OCR) to make any text readable for Dyslexics.

Dyslexia-friendly AI voice chat bot.
For Guardians:

Creating multiple child profiles.

Progress/Improvement tracking.

Chat bot for support.

Access awareness guides and give feedback.
Technology used:
Unity, C#, Visual Studio, Firebase, GitHub, Canva,
AWS, OpenAI
Supervisor:
Mr. Bilal Khalid Dar
Co-supervisor:
Dr. Khubaib Amjad Alam
Members:
Maaidah Arif Siddiqui (i20-0997)
Contact: 0309 5951834
Kisaa Batool (i20-1829)
Contact: 0330 1472145
Aleena Fatima Khalid (k20-1688)
Contact: 0334 9012023
Gender-DEI Bot
Gender DEI-Bot is an educational chatbot which facilitates learning, discussion,policies and
training on gender-based DEI topics. The functionalities include the ability to curate and
provide informative content, to ensure respectful communication the chatbot will detect bias
using the sentiment analysis and word embedding, it will also provide suggestions to
rephrase sentences and communicate in a more unbiased manner, user authentication and
management for user’s separate use of the chatbot and an admin moderation will be
provided to monitor and control content. The chatbot will be able to access data that the
user has provided or allowed access
Features include:
-
Sentiment Analysis to understand the user’s emotions and responding while
acknowledging the user’s emotions
-
Bias Detection allows the chatbot to understand any bias in the query of the user to
rectify them by its response
-
Gender Inclusive Language Suggestions give the user’s growth by suggesting
better vocabulary to be used for their day-to-day correspondence.
Technology Used:
Python, PyTorch, React, Github,
JupyterLab, Flask, Pinecone
Supervisor Name:
Dr. Mehreen Alam
Group Members:
Rehan Bashir (i20-0925)
0323-4511976
Jehanzeb Akram (i20-0704)
0306-5570009
Shahbaz Ahmed (i20-1761)
0308-1509198
DepEase-Automated FYP DevOps Platform
The traditional method of running Final Year Projects (FYPs) on local hosts presents
challenges in later accessibility for teachers and stakeholders. This limits effective
review, evaluation, and sharing, hindering comprehensive repositories. Existing
solutions like Jira, Netlify though offering automation, are often costly and complex for
universities.
DepEase is an innovative Automated FYP Management System, streamlining
processes with a Continuous Integration/Continuous Deployment (CI/CD) pipeline.
FYPs undergo automated testing, building, and deployment to a secure cloud-based
platform, eliminating local host reliance. An intuitive interface allows easy project
submission for students, triggering the automated pipeline. Teachers review and
provide real-time feedback through the cloud.
DepEase offers a cost-effective solution for universities, simplifying complex DevOps
processes. It fosters collaboration among stakeholders, equips students with valuable
skills, and provides data-driven insights. With security measures and compliance,
DepEase aims to enhance FYP processes worldwide, aligning with industry trends.
Technology Used:
MERN Stack, Cloud (AWS),
Docker, Jenkins CI/CD, Flask,
Version Control (Github)
Supervisor Name:
Mr. Zaheer ul Hussain Sani
Group Members:
Mian Abdullah (i20 - 0457)
(0311-0579957)
Mahad Rahat (i20-1808)
(0333-8922231)
Ali Hamza (i20-1881)
(0318-7734237)
DiagnosysAI
DiagnosysAI is an advanced healthcare solution, focusing on utilizing artificial intelligence to
transform the diagnosis process. This research and development project aims to create an AI-
powered tool that significantly enhances the accuracy and efficiency of diagnosing a variety of
conditions. Leveraging advanced Machine algorithms and deep learning techniques,
DiagnosysAI offers a comprehensive diagnostic platform that caters to both healthcare
professionals and patients seeking preliminary diagnostic insights.
Features include:
• Symptom Analysis: Users can input a list of symptoms along with their severity. DiagnosysAI
utilizes ML algorithm to analyze these inputs, cross-referencing them against a vast database
of disease profiles to identify possible conditions.
• Test Recommendation: Based on the preliminary analysis, the system recommends specific
lab tests that can confirm the diagnosis with a higher degree of certainty.
• Report Interpretation: DiagnosysAI is equipped to analyze both textual and imagery lab
reports. Using advanced image recognition and Deep learning techniques, it can extract relevant
data from lab reports to refine the diagnosis.
• Final Diagnosis: Incorporating the data from the user’s symptoms and lab reports,
DiagnosysAI presents a final diagnosis, outlining the identified condition.
Area of Study:
Medical Diagnosis
Technology Used:
Python, React, Flask, TensorFlow, Docker,
GitHub, excel, Google Colab, Spyder
Supervisor Name:
Dr. Muhammad Asif Naeem
Group Members:
Umer Iftikhar (20i-0867) (03453071276)
Usman Babar (20i-1784) (03010101024)
Hammad Abbasi (20i-2332) (03115399605)
DyslexiaDetect
The project involves creating a mobile application to boost learning for dyslexic children
aged
4-12, using advanced eye-tracking technology for early dyslexia screening by monitoring
eye movements during reading. This technology distinguishes dyslexic from non-dyslexic
children, allowing for prompt, targeted intervention. Personalized learning activities in the
app are tailored to the child’s age, adjusting the syllabic complexity of words accordingly,
and emphasize words identified as challenging during the screening process. This
ensures a custom learning experience, encompassing phonics, vocabulary, spelling, and
coherence exercises. The app also features progress tracking, individual profiles for real-
time parental insights, and a supportive community platform for sharing an emotional
support, aiming to transform dyslexia intervention and promote educational growth.
Features include:
-
Dyslexia Screening and Profiling
-
Personalized Learning
-
Age-Appropriate Activities
-
Progress Tracking
-
Peer to Peer community support
Technology Used:
Android Studio, Visual Studio Code,
GitHub, SQLite, Python, Flask, Figma,
Firebase
Supervisor Name:
Ms. Shahela Saif
Group Members:
Maaz Arshad (i19-1672)
Cell# 0347-8190077
Mehreen Ishtiaq (i20-0781)
Cell# 0312-8494962
Anam Fatima (i20-1844)
Cell# 0320-994536
Ecommix | No Code Web Based Solution
Ecommix is a no-code e-commerce web engine, it allows users to create responsive e-
commerce web applications without any need of extensive coding knowledge. It provides
a visual drag-and-drop UI builder, along with various modules and features for website
setup, content management, workflow automation, customer interaction, analytics, and
more. The goal is to offer a streamlined solution for aspiring entrepreneurs and small
businesses to establish a strong online presence and manage their e-commerce
operations efficiently. The application utilizes a microservices approach, with each
functionality represented by a separate service. It incorporates frontend user interfaces,
middleware, and backend components. Key functionalities include a workflow API for
business process management, payment API for transaction handling, custom API for
analytics
and
data
processing,
and
integrations
with
third-party
services.
Features include:
 View Dashboard, Create Website, Design Web Page, Customize Layout.
 Create Workflow, View Analytics, Integrate Payment Method, Manage Product.
 Generate Report, Preview Web App, Generate Inventory Alert, Process Order.
 Create Wishlist, Make Payment, Track Order and Add Sections.
Technology Used:
MERN Stack, Zapier, Docker and AWS
Services, PHP, Visual Studio, GitHub
Supervisor Name:
Dr Atif Jilani
Group Members:
Zeeshan Ali (i20-2465)
0310-7048506
Ans Zeshan (i20-0543)
0332-6101627
Tayyab Qaisar (i20-0950)
0307-7203870
Festivo
revolutionize event planning and coordination across the nation. Our mission is to offer a
unified platform that caters to the needs of event organizers and venue owners, leveraging
state-of-the-art technology and intuitive design. Our platform empowers event organizers
with a suite of tools designed to simplify every facet of event planning. From harnessing
Augmented Reality (AR) for interactive stage design to providing comprehensive 360-
degree venue imagery, Festivo offers an array of innovative features.
Key Objectives of Festivo:
1. Augmented Reality (AR) View: Implement AR features to allow users to interactively
visualize and customize venues, enhancing the planning process.
2. 360-Degree Composite: Offer users access to detailed 360-degree venue views for
better understanding and decision-making.
3. Sentiment Analysis: Employ AI-driven sentiment analysis to evaluate user feedback and
reviews, leading to improved recommendations.
Technology Used:
MongoDB, Express.js, React, Node.js,
Python, Flutter, Unity, JavaScript
Supervisor Name:
Mr. Bilal Khalid Dar
Group Members:
Sheheryar Younas (i20-0899)
03081642000
Saifullah Ahmad (i20-0972)
03335040888
Wali Zaidi (i20 - 2429)
03360501551
FleetGuard
FleetGuard is a comprehensive fleet management system designed to enhance safety,
efficiency, and operational oversight for truck fleets. It comprises five main modules:
DashCam, Driver Scoreboard, Accident Prediction Algorithm, Automated Dispatching &
Delivery, and Fleet Analytics. The DashCam is a hardware device installed in the truck's
driving cabin, equipped with a camera, GPS sensor, accelerometer, and collision sensor,
all connected to the internet. This module captures and sends real-time data to the cloud,
including snapshots of the driver, vehicle speed, and geographic location. The Driver
Scoreboard is a web application that processes this data to monitor seatbelt compliance,
distracted driving, driver fatigue, and speeding, providing real-time safety scores. The
Accident Prediction Algorithm uses AI to predict potential accidents by analyzing
environmental conditions, historical data, and driver behavior. Automated Dispatching &
Delivery optimizes routes, matches loads, schedules drivers, tracks truck locations, and
manages billing. Lastly, Fleet Analytics offers insights into driver performance, vehicle
utilization, and incident reporting, contributing to operational improvements.
Technology Used:
OpenCV, React, TypeScript, NodeJS,
Express, Python, Raspberry Pi, Azure,
AWS, Docker, Flask, GitHub,
TensorFlow
Supervisor Name:
Ms. Maheen Arshad
Group Members:
Zain Ud Din (i20–0895) – +92 335
5529260
Hadia Tanveer (i20–0967) – +92 335
5577578
Syed M Ammar (i20–2417) – +92 305
4390288
GrabTasks
Our project aims to bridge the gap between technical talent and companies. The main objective of
the project is to eliminate CV-based long hiring processes from the industry and introduce skill-
based hiring. The main functionality includes the candidate signing up on our platform and
undergoing skill assessments for their relevant skills. Once the candidate has passed the
assessment, the skills will be verified and he/she will be eligible to apply for the jobs which the
companies will post on our platform. Along with the job post a task will be attached, which is to be
completed by the candidates. The task would be a coding challenge and the candidate has to
attempt it in a time period on a compiler on our platform. Their code will then be tested against the
test cases for evaluation. The shortlisted candidates who had passed the most test cases will then
undergo the behavioral/psychological test picked up by the company. These assessment questions
can be custom made by the company as well as can be picked from the pool provided by the
platform. Once passed, the shortlisted candidates will be displayed to the company.
Features include:
- Login/Sign Up for Candidate through Google Auth.
- Real time Notification System for Job Task Opening.
- Integrated Coding Compiler with support for 12+ languages.
- Skill assessments created for more than 30 Niche technical Skills.
Technology Used:
Next JS, Mongo DB, Express JS, Visual Studio,
GitHub, Figma
Supervisor Name:
Mr. Zaheer Ul Hussain Sani
Group Members:
Umair Farooq (i20 - 2345) (+92 302 8510005)
Hamza Saeed (i20 - 0495) (+92 334 4339917)
Muhammad Moosa (i20 - 2307)
(+92 335 5078588)
HealthCane
Revolutionizing caregiving with our HealthCane App, integrating abnormal behaviour detection,
caregiver collaboration, voice commands, health tracking, and medication management.
Creating a secure, empowered environment and meeting evolving health care needs
Features include:
1.
Abnormal Behavior Detection: The app employs advanced algorithms to detect unusual
behavior patterns and instantly notifies caregivers of any concerning activity.
2.
Caregiver Collaboration: Our app facilitates seamless collaboration between caregivers
through secure communication channels and real-time monitoring capabilities.
3.
Voice-Activated Commands: With natural language interactions, caregivers can use
voice commands for various actions, enhancing accessibility and ease of use.
4.
Health Tracking: The app enables continuous monitoring of vital signs and daily
activities, generating insightful health trends.
5.
Medication Management: Caregivers can manage medication schedules, receive
reminders, and access insights for better health management.
Technology Used:
Python, React Native, firebase, Android Studio,
Open CV, Vercel, Git
Supervisor Name:
Ms. Noor Ul Ain
Group Members:
Hania Khan (20I-0819), 03335535595
Sarah Noor (20I-0442), 03155444242
Rimsha Iftikhar (19I-1996), 03364272919
Intelligent Ecommerce
The Intelligent E-commerce Platform is designed to revolutionize the online shopping
experience by leveraging the power of semantic search and incorporating innovative
language processing capabilities. By seamlessly integrating semantic search and Urdu
audio search functionalities, we aim to democratize product discovery and enhance
personalization for users. The system has three views. The customer view provides
users with a seamless shopping experience, allowing them to browse products,
manage their Wishlist, place orders, and oversee their shopping cart. With semantic
search capabilities, customers can effortlessly find products of interest
Key Features:
-
Semantic Search: Unlike traditional keyword-based searches, our platform
employs semantic search algorithms to understand the context and intent behind
user queries, this is where intelligence comes in, enabling more accurate and
relevant search results.
-
Multilingual Support: The platform supports both English text and Urdu audio
search, catering to a diverse user base and making product discovery accessible
to Urdu speakers.
Tool & Technology Used
React.js, Node.js/express.js, python,
MongoDB, Chroma DB, Flask, Whisper
(OpenAI), GitHub, Hugging Face, AWS
Supervisor Name
Dr. Asif Muhammad
Group Members
Muhammad Kazim (i20-2310)
Zain Javed (i20-0522)
Muhammad Waqas Akhtar (i20-0525)
Invision360
Our innovative web app is set to revolutionize the way we design homes by turning 2D
floor plans into lifelike 3D models. Aimed at both architects and homeowners, this platform
makes it easier than ever to move from a sketch to a detailed, immersive visualization of a
dream home. What sets our app apart is its deep focus on customization. Users can tailor
every aspect of their home's interior, selecting from a vast catalog of furniture and decor to
reflect their unique style in every room. Moreover, our app offers an innovative feature
where users can scan objects to convert them into 3D models, further enhancing the
interior designing process by allowing for the inclusion of personalized items and
decorations. Beyond the interior, the app offers extensive options to design the home's
front elevation. From selecting architectural styles to experimenting with customization
through objects, users can craft an exterior that truly represents their vision. The app
combines user-friendly design with powerful features to guide users from the initial idea to
a detailed, personalized home design, ensuring a smooth and enjoyable design journey.
Main Features:
- User Management: Streamlines the process for user registration, login, authentication,
and profile updates.
- Floor Plan Digitization: Allows users to upload 2D images, converts them into static 2D
designs, identifies rooms, and marks boundaries.
- 3D Model Generation: Automatically generates 3D models from digitized plans, offering
immersive view and navigation options.
- Personalize Room: Enables importing, placing, and moving furniture and homeware
items within the 3D space.
Technology Used:
Python, Node.js, React, Three.js,
MongoDB, Figma, Github, AWS
Supervisor Name:
Ms. Hina Binte Haq
Group Members:
Hamda Zahir (20i-0477)
(Cell # :0321-5203038)
Sadia Batool (20i-2378)
(Cell # :0340-0911417)
Saim Saleem (20i-1888)
(Cell # :0332-6954100)
Justified Automation with Refined Visuals and Intelligent Speech
Jarvis represents a transformative leap in business process optimization, meticulously
designed to redefine efficiency and productivity across the board. Through its nuanced
understanding of natural dialogue, Jarvis uncovers hidden inefficiencies, converting the
complexity of human conversation into actionable insights for seamless process
automation.
By synergistically combining Natural Language Processing (NLP), process mining, and
Robotic Process Automation (RPA) technologies, our modules achieve the following:
ProcMap (Process Mapper): Empowers organizations by transforming the nuanced
dialogue of employees into definitive, process-oriented blueprints, providing unparalleled
clarity on workflows directly from the user's perspective.
RAPID-Mine (RPA Analysis Process Insights and Discovery): Leverages advanced
process mining techniques to meticulously dissect event logs, uncovering hidden
inefficiencies and bottlenecks.
SMART (Systematic Mapping for Adaptive RPA Transformation): Acts as the architect
of automation, taking the rich insights and converting them into precise, tailored RPA scripts.
SMART ensures a flawless transition from traditional manual processes to a streamlined,
automated future, defining the next horizon of operational efficiency.
Technology Used:
Python, FastAPI, React, MongoDB,
ElectronJS, Git, Visual Studio, Docker,
HuggingFace
Supervisor Name:
Dr. Naveed Ahmad
Group Members:
Sara Qayyum (+92 323 8559439)
Moiz Asghar (+92 347 5004020)
Fouzan Yaseen (+92 302 3692238)
Knowledge-Verse
Our Final Year Project (FYP) endeavors to address this challenge by creating a
sophisticated knowledge discovery system tailored specifically for Quranic interpretation.
The primary objective is to provide scholars, researchers, and religious practitioners
worldwide with a user-friendly platform that enables efficient retrieval of reliable and
authentic knowledge from Tafsir Al-Tabari and other relevant sources. This system aims
to streamline the research process, eliminating the need for manual searching and
offering users greater insights into Quranic interpretation.
Features include:
1. Utilizing Knowledge-Graphs:
- Using existing comprehensive knowledge graphs for Quranic Tafsir of Al-Tabari,
enriched with semantically annotated information, to serve as an authoritative source for
accessing interpretations.
2. Knowledge Graph Enrichment:
Foster interoperability by linking Tafsir knowledge graphs with external graphs such as
DBpedia, enabling users to access Commentators, and detailed information of persons
not present in our graph.
Technology Used:
SparQL,React,Django,Python,GraphDb,P
rotege
Supervisor Name:
Dr. Amna
Basharat
Group Members:
Muhammad Abdullah (i20 - 2311)
03345548770
Khursheed Alam Khan (i20 - 0496)
03417057986
Sameer Liaquat (i20 - 0998)
03361297807
LENDNEST
The core mission is to address the pressing issues plaguing the lending industry, with a
specific focus on blockchain-based lending. LendNest's primary aim is to simplify and
streamline the lending process, eliminating the complexities that often hinder borrowers
and lenders. A user-friendly platform that allows individuals to create lending markets with
utmost ease, requiring nothing more than the completion of a straightforward form is
devised. This innovative approach is set to democratize lending, making it more
accessible and inclusive to a broader audience.
Features include:
•
Creating a market to get passive income.
•
Creating loan bid and set a collateral.
•
Lending loan to borrower against collateral after validating the lending token and
collateral token estimated value.
Tech Stack:
React, Solidity, Web3.js, OpenZeppelin,
Hardhat
Supervisors:
Dr. Asif Muhammad
Dr. Muhammad Asim
Group Members:
Muhammad Ahmed (20I-1855)
Nabeel Javed (20I-2420)
Zaryab Hassan (20I-2487)
Mind Care
Mind Care is an innovative application designed with the dual purpose of supporting and
understanding the mental health landscape within educational institutions, catering
specifically to the needs of students and educational administrators. The application is
bifurcated into two primary interfaces: Student View and Administrator View, each tailored
to its users' unique requirements and roles in the mental wellness journey.
Key Features Across Views:
 Automated mental health assessments with sentiment and emotion analysis.
 Speech-to-text functionality for natural language communication and assessment.
 Privacy-centric user authentication and account management.
 Direct communication channels between students and psychologists for escalated
concerns.
Technology Used:
Next JS, React JS, Flutter, Django,
Python, Dart, JavaScript, Open AI
Supervisor Name:
Dr Kashif Munir
Group Members:
Muhammad Umar Kareem (i20 - 0815)
Muhammad Talha (i20 - 0944)
Muhammad Faizan Hasnaat (i20 - 0963)
PaiSHA
PaiSHA is a platform providing career recommendations based on personality assessments
via a chatbot. It offers HEC-recognized university suggestions to match students'
preferences and a university information chatbot to answer user queries. Along with that,
there is an expert consultation panel for expert guidance. The platform displays university
rankings, calculates a person’s merit, and a focal person panel allows authorized personnel
to manage specific university information. The project aims to revolutionize the student-
advisory process, empowering students to make well-informed decisions about their future
careers and education. This project is for students who are looking to pursue Bachelors in
Features include:
1. Career Recommendation via a chatbot
2. University Information chatbot
3. Expert Consultation
4. Focal Person Panel
5. University Ranking
6. User Profile Management
7. Merit Calculation
Technology Used:
MongoDB, Express, React, Node JS,
LangChain, Python, Flask, Vercel, GitHub,
Hugging Face
Supervisor Name:
Mr. Bilal Khalid Dar
Group Members:
Umama Qasim (20I-1894)
(+923355823262)
Muhammad Saad (20I-0914)
(+923180517843
Afraz Ahmed (20I-0680) (+923330532001)
ProjectFlow
ProjectFlow represents an innovative web-based application that redefines the landscape
of project management, addressing the critical need for enhanced capabilities in this
dynamic domain. This system encompasses several integrated modules, ensuring
comprehensive user management, intuitive task handling, and innovative features.
The main modules of ProjectFlow include:
-
User Management: Robust system for registration, profile creation, and role-based
permissions.
-
Task Management: Simplifies task creation, organization, and assignment.
-
Project Planning and Progress Tracking: Visual timelines and real-time
dashboards for effective project planning and tracking.
Technology Used:
Figma, MERN Stack, Flask, Python,
Lama, Visual Studio Code
Supervisor Name:
Dr. Naveed Ahmad
Group Members:
Hasham Ul Haq (i20-0752)
+92 332 5559515
Khadija Tul Kubra (i20-0760)
+92 315 1222969
Abdul Rehman (i20-2344)
+92 306 0123725
Rehaish
Rehaish, an innovative platform, is dedicated to revolutionizing the landscape of student
accommodation services. Focused on addressing the challenges faced by students in
finding suitable and reliable hostels, Rehaish aims to simplify and streamline the
process. The core mission is to provide a user-friendly interface that empowers students
to discover and book hostels effortlessly. Unlike, conventional accommodation
platforms, Rehaish is tailored exclusively for students, ensuring a seamless and student-
centric experience. The platform facilitates efficient hostel searches, allowing students
to filter based on various criteria such as location, price range, and amenities. With a
commitment
to
inclusivity,
Rehaish
stands
out
by
offering
personalized
recommendations through a user-friendly chatbot, enhancing the overall search and
decision-making process.
It is a two-way marketplace so the hostel owners can register and create detailed listings
with room details, pricing and policies. Chatbot will facilitate queries related to Hostel
and room recommendations. The admin portal will handle approvals, policy
enforcement, dispute resolution and analytics.
Technology Used:
React, Node js, Express, MongoDB,
Visual Studio, AWS
Supervisor Name:
Mr. Irfan Ullah
Group Members:
Areeb Ahmad (i20 - 0679)
Cell:  03156915721
Wajaht ullah Waheed (i20 - 1769)
Cell:  03065531720
Haris Zafar (i20 - 1885)
Cell:  03216350450
Revalyze
The primary goal of this project is to create a versatile platform that offers automated video
transcription, summarization, and analysis, utilizing the powerful capabilities of the
Generative AI API. This tool will have the ability to ingest video inputs and employ
transcription methods to extract textual content from these videos. However, our project
doesn't stop at mere transcription; it takes the extracted text through a two-step process.
Firstly, it condenses the text, making it more digestible and enhancing comprehension.
Secondly, and importantly, it includes a robust mechanism for detecting hate speech within
the content, without resorting to extensive sentiment analysis, thereby ensuring a safe and
respectful learning environment.
At its core, this project is a fusion of advanced language processing and video analysis
technologies. It is designed to provide an effective and efficient solution for summarizing
video content and detecting hate speech within an educational context. By doing so, it seeks
to address the core challenges of managing, comprehending, and accessing the ever-
expanding world of educational video content.
Technology Used:
Django, React, Python, Visual Studio,
SQLite, Generative AI LLM’s
Supervisor Name:
Dr. Kashif Munir
Group Members:
Umar Bin Idrees (20i - 1752)
(Cell# 0318-0841063)
Arnish Binte Atiq (20i – 1837)
(Cell# 0330-5475461)
Yusra Aftab (20i - 1809)
(Cell# 0316-1586336)
RizqRaahi
An Android and Web app connecting Restaurants with NGOs for real-time food donations,
predicting future donations, supporting crisis relief, and recommending restaurants to
NGOs.
Key features of RizqRaahi include:
Real-Time Donation Tracking: NGOs can track available donations from nearby
restaurants in real-time, ensuring swift response and efficient distribution of food to those
in need.
Donation Predictions: By analyzing historical donation data, RizqRaahi predicts upcoming
donations from restaurants for the next week, aiding NGOs in planning and resource
management.
Restaurant Recommendations: The application recommends top-rated restaurants to
NGOs based on reviews, ensuring high-quality food donations.
Technology Used:
React (For Web App), React Native (For
Android App), NodeJs, ExpressJs,
PostgreSQL, AWS, Python, Socket.io,
GitHub, Figma,  Google maps Api
Supervisor Name:
Ms. Maheen Arshad Malik
Group Members:
Muhammad Faizan Javed (0303-
5929146)
Muhammad Ghazanfar Ijaz (0318-
1972631)
Ghulam Muhammad Qureshi (0332-
8553987
SceneGen
SceneGen is a tool designed to automate the process of creating areas and levels for 2D
platformer games. It aims to empower indie game developers by providing them with
procedural generation capabilities, enabling them to create large-scale games more
efficiently.
SceneGen has the following modules:
-
Biome Generation: This module allows users to generate different environment
types.
-
Biome Objects Generation: This module is responsible for generating biome-
specific objects, such as trees and grass for the jungle biome and caves for the
mountain biome.
-
Biome Parameter Customization: This module enables users to customize
parameters related to the biomes, such as the maximum and minimum size of the
biomes.
-
Technology Used:
C#, Unity, Aseprite, Jetbrains Rider,
Adobe Illustrator, Adobe Photoshop
Supervisor Name:
Mr. Bilal Khalid Dar
Group Members:
Zoya Mahboob (i20-0524)
+92 3145388646
Muhammad Wasif Ali Wasif (i20-2315)
+92 311 4715020
Sania Arshad (i20-2425)
+92 311 5924298
Serve-us
Serve-us is a web-based application that provides users with a platform for
troubleshooting their appliances. Using a chatbot users will be able to diagnose,
troubleshoot, and repair their appliances. In the case the problem persists the AI model
will also suggest relevant service providers, who have registered themselves on the
application, who can be contacted to solve the issue.
List of features
Problem Resolution: Provide users with AI-powered solutions to common technical
problems.
Profile Management: User Roles: The application accommodates multiple user roles
Rating and Review System: Enable users to rate and review their experiences with each
other.
Review Scores: Assign review scores to customers, service providers, products, and
services.
Technology Used:
Node js, Next js, Mongo DB, Python,
React
Supervisor Name:
Mr. Irfanullah
Group Members:
Suleiman Afzal (i20 - 1791)
923330202498
Daniyal Khan (i20 - 1847)
923315222013
Syed Zulkifal Banuri (i20 - 2350)
923329666646
Tadrib
The VR-Based Medical Training Application is a ground breaking project aimed at tackling
the critical issue of patient mortality resulting from medical negligence and inadequate
surgical skills. Its primary objective is to develop an immersive VR platform for medical
professionals to enhance their surgical competencies through personalized training
simulations. This innovative solution leverages patient-specific 3D organ models generated
from MRI scans, coupled with real-time performance tracking and feedback, to revolutionize
medical training and improve surgical outcomes. The project encompasses various features
to achieve its goals:

Precise 3D Organ Modelling: Implementing advanced medical image processing
techniques to create accurate 3D organ models from MRI scan data.

Personalized Surgical Simulation: Enabling surgeons to practice simulated surgeries
based on patient-specific organ models, thereby enhancing their proficiency in real-
life cases.

Real-Time Integration: Developing a range of VR tools for incisions, organ
manipulation, and real-time response tracking to enable realistic and effective
surgical procedures.

Instantaneous Performance Feedback: Providing instant feedback on user
performance within the VR environment, highlighting areas for improvement and
success in surgical techniques.
Technology Used:
C#, Unity, Blender, 3D Slicer, MongoDb,
Electron.js, Node.js, Express.js, Visual
Studio
Supervisor Name:
Dr Naveed Ahmed
Group Members:
Bismah Abdullah (i20 - 2364)
Cell No: 03205625555
Laiba Mehmood (i20 - 0700)
Cell No: 03008327365
Sehrish Khan (i20 - 0817)
Cell No: 03315961511
TeleDent - Dental Training VR Application
The project focuses on developing Teledent, a collaborative dental training application.
Teledent aims to create an immersive virtual reality workspace for dental education,
allowing simulation of various procedures, integrating 3D models, managing
emergencies, evaluating users, and enabling remote collaboration. This initiative
represents a significant advancement in dental education, providing students with
comprehensive training in a simulated environment.
Key features of the Teledent application include:
● Simulation of various dental procedures within a virtual workspace.
● Integration of success and error scenarios through visual icons and audios.
● Facilitation of remote collaboration between two users: dental students and
instructors.
● Detailed simulation of tooth extraction, tooth scaling, and cavity preparation
procedures.
● Generation of performance reports based on user's performance for each
procedure.
● Automatic generation of dynamic cases for different dental procedures.
Technology Used:
C#, Unity, Blender, GitHub
Firebase
Supervisor Name:
Ms. Noor Ul Ain
Group Members:
Shah Rukh Abdullah (i20 - 0995)
+92 3130415751
Saman Saeed (i20 - 2306)
+92 336 0435000
Forex Trade Bot
Forex Trading Bot deals with Automation of trading strategy by an algorithmic approach
and by identification of candlestick chart patterns for historical data as well. This
Webbased trading application will help the users to trade without knowing the actual
technical terms and background of the forex market. This bot will allow the user to do
emotionless trading without the intervention of user. The bot is deployed on Meta Trader
5. The goal of this bot is to offer an accurate and user-friendly solution that helps
individuals to access the forex market without prior knowledge. In addition to this the user
can
see
the
real
time
candlestick
pattern.
Features include:
- User Authentication and Profile Management Module deals with profile management
of User.
- Data Gathering and Analysis Module deals with gathering Real Time and Historic
Data.
- Predictive Model Development Module deals with Prediction of Closing Price using Deep
Learning Model.
- Automated Trading Execution Module deals with the Execution of Trade Once Signal
generates.
- Risk Management Strategies Module deals with Risk strategy for Automated Trading.
- Subscription Management Module deals with management of Subscription using 3rd
Party Payment Gateways.
Area of Study:
Forex Trading Market Automation
Technology Used:
React JS, Django Stack, Python, Deep
Learning Models
, ML / AI, MQL5, Docker, TensorFlow
Supervisor Name:
Mr. Irfan Ullah
Group Members:
Muhammad Abdullah (i20 - 0867)
(03209797072)
Moiz Ali Afzal (i20 - 2334) (03131558134)
Hamza Baig (i20 - 0913) (03088074565)
TRAVERA
TravEra, A Travel Tour Booking Mobile Application with help of AI & VR.  The TravEra
project aims to revolutionize the travel planning experience by integrating advanced
technologies such as Artificial Intelligence (AI), Virtual Reality (VR), and Vendor Integration
into a comprehensive platform. Traditional travel planning platforms cannot provide users
with immersive and personalized experiences. Current systems do not seamlessly
integrate AI-driven recommendations, VR tours, and direct interaction with travel vendors.
TravEra focuses on the development of a user-centric travel planning application that
includes AI-driven features, VR tours, vendor integration, and user engagement elements.
The scope encompasses both the traveler and vendor perspectives, aiming to create a
holistic solution for the travel industry.
Technology Used:
Java, Android Studio, C#, Unity 3d,
Visual Studio, Firebase, Python,
Jupiter
Supervisor Name:
Mr. Saad Salman
Group Members:
Hamad Imtiaz (i20 - 2377)
Zukhraf Arshad (i20 - 2321)
0300-3204619
Adil Ali           (i20-1868)
VanGuardian
VanGuardian is a pioneering solution designed to revolutionize student safety and pick-up
technology with user-centric features, VanGuardian aims to address the challenges of
congestion, security vulnerabilities, and disorganized procedures during student pick-up and
drop-off times. The system offers a range of innovative features including real-time vehicle
tracking, automated notifications, RFID check-ins/check-outs, geofencing for secure arrivals,
and parent calling. Through seamless communication and transparent monitoring,
VanGuardian enhances safety, efficiency, and peace of mind for students, parents, and
school administrators alike.
Technology Used:
React , Node , Express , MongoDB Atlas ,
Github, AWS, Docker , Python , Stripe,
Google Maps
Supervisor Name:
Mr. Zaheer ul Hassain Sani
Group Members:
Daniyal Amir (20i-1806)
+923224456320
Muhammad Abdullah (20i-0687)
+923335448080
Muhammad Omer (15i-0350)
+923115120102
Vision Studio
Vision Studio is a comprehensive, end-to-end solution designed to simplify and expedite
the development of computer vision models. Recognizing the complexities and extensive
time investment required in the traditional process of building, testing, and exporting
computer vision models. Vision Studio introduces a streamlined, efficient pipeline tailored
specifically for Image Classification and Object Detection tasks.
Key Features
1. Image Labeling and Annotations: An intuitive suite for precise image labeling and
annotations, essential for creating accurate training datasets.
2. Hyperparameter Tuning: Automated hyperparameter optimization to enhance
model performance efficiently.
3. Model Training: A robust framework supporting the latest algorithms for scalable
and efficient model training.
4. Model Testing and Evaluation: Comprehensive tools for rigorous performance
assessment under diverse conditions.
5. Model Fine-Tuning: Advanced fine-tuning capabilities for customizing pre-trained
models to specific needs.
Technology Used:
Python, Django, Tensorflow, React,
Typescript
Supervisor Name:
Dr. Atif Jillani
Group Members:
Aashir Aftab(20I-0523) –
+92313 8662739
Tayyba Saveera (20I-2314) –
+92306 8165498
M. Usman (20I-2602) –
+92333 5759101
WeCare SAAS EMRS
An Electronic Medical Record (EMR) solution is being developed to address the challenges
faced by healthcare institutions, doctors, patients, and paramedic staff. The current
healthcare industry heavily relies on on-site EMR systems or costly cloud-based solutions,
resulting in increased upfront costs, inflexibility, and poor accessibility. Particularly in
healthcare organizations, leading to additional costs and limited capabilities.
Additionally, the EMR system includes specific modules tailored to the needs of patients,
doctors, paramedics, finance personnel, and administrators covering features such as
patient registration, appointment scheduling, telemedicine consultations, prescription
generation, financial management, Computer Aided Diagnostics, intake management and
user management.
Technology Used:
Python, Firebase, React, Express, Node,
AWS, Flask, Flutter, Microservices
Supervisor Name:
Dr. Khubaib Amjad Alam
Group Members:
Fatima Jamal (i20-0636)
0307-0058011
Agha Shah Hyder (i20-0778)
0316-5034481
Laiba Noor (i20-1786)
0311-0538151
ZenDrive
The Virtual Reality (VR) Car Simulator project is a pioneering endeavor aimed at
around the development of an immersive, interactive, and true-to-life driving simulator that
replicates real-world driving scenarios and conditions. This innovative tool is designed to
address the critical need for enhanced driver training and road safety in the region.
The project is envisioned as an all-encompassing platform that seamlessly combines
cutting-edge VR technology with AI-driven traffic simulations to provide an unparalleled
learning experience. Users will have the opportunity to practice their driving skills in a risk-
free environment, thereby boosting their confidence and competence as drivers.
Features included:
- Realistic Diving Environment                                         -Variety of road scenarios
-Traffic Simulation                                                            -Traffic Signs and signals
-Multiple parking scenarios                                               -Immersive Audio Simulation
-User Performance Evaluation                                           -Tutorial Mode
Technology Used:
C#, Unity, Blender, MERN Stack, Visual
Studio
Supervisor Name:
Dr. Irum Inayat
Group Members:
Usama Khalid (i19 - 0407)
(03402482435)
Areeba Asif (i20 - 0538) (03349216849)
Wardah Sajjad (i21 - 1240)
(03365405681)

AI enrichment