Research Posters

Monitoring And Control Console Dashboard Using Custom Grafana Interface

This project focuses on the design and implementation of a comprehensive Monitoring and Control Console Dashboard for SUPARCO. The system architecture utilizes InfluxDB to efficiently manage, query, and store high-frequency time-series data, while leveraging Grafana to create a dynamic, real-time visualization interface. This centralized console allows operators to track critical telemetry, analyze system performance metrics, and make informed, data-driven decisions. By integrating robust backend data pipelines with an intuitive frontend, the project delivers a scalable, interdependent solution for high-level system monitoring and infrastructure management.

Vision Based Llm

The objective of this project is to develop an AI-driven system for automated lunar soil composition analysis using orbital imagery. Traditional geochemical mapping relies on coarse-resolution sensors (like GRS), which lack the detail needed for landing site selection or resource prospecting. This project bridges that gap by using Deep Learning to super-resolve chemical maps based on visual texture.

Ai-Powered Intelligent Ecosystem For Legal Services

Pakistan’s legal services face delays, high costs, and poor access due to manual operations, fragmented information, and informal consultations. Lawyers struggle with judgment analysis and case prep; litigants can’t find reliable counsel. A digital ecosystem for Pakistan integrates lawyer discovery, consultation, case management, and document analysis. Using RAG, semantic embeddings, and prompt engineering, it retrieves precedents efficiently and enables context-aware reasoning. It automates workflows without replacing lawyers.

Campus Navigation System

The Smart Campus Navigation System is a Java-based application designed to help students, faculty, and visitors navigate a university campus efficiently. The campus is modeled as a graph where buildings are vertices and paths are edges with distances. The system allows users to add buildings, define paths, display the campus map, and compute the shortest route using Dijkstra’s Algorithm. Breadth-First Search (BFS) is also implemented for traversal. This project applies core Data Structures and Object-Oriented Programming concepts in a practical real-world scenario.

Solar Tracking System

Solar energy is a major renewable energy source, but the efficiency of solar panels depends on their orientation toward sunlight. Fixed solar panels cannot maintain optimal alignment throughout the day, which reduces their energy output. A solar tracking system improves efficiency by continuously adjusting the panel toward the direction of maximum sunlight. This project presents the design and implementation of a dual-axis solar tracking system using Arduino Uno, Light Dependent Resistors (LDRs), and servo motors. The system detects light intensity from different directions and moves the panel accordingly. The design is cost-effective, simple, and suitable for small-scale applications. The results show improved alignment and better performance compared to fixed solar panels.

Digital Queue Management System Using Counter

Digital Water Level Indicator And Controller

Digital Voting Machine With Secure Vote Countin

4-Bit Arithmetic Logic Unit

Sequence Detector For Binary Pattern Recognition

Automatic Street Light Control System Using Digital Logic

Bcd To Sevensegment Display Decode

Digital Combination Lock System

Elevator Controller Using Sequential Logi

Digital Frequency Counter Using Sequential Logic.

24-Hour Digital Clock Using Counters

Ornex: An Intelligent Policy And Compliance Management System For Healthcare Institutions

Effective policy management in large healthcare organizations is critical for patient safety and regulatory adherence. However, current systems often suffer from fragmented distribution, prolonged approval bottlenecks, and inadequate version control. Crucially, existing workflows rely on passive acknowledgment, where employees sign off on mandatory updates without demonstrating true comprehension. This exposes the institution to significant operational risks and manual audit failures. To address these systemic inefficiencies, we developed Ornex, a comprehensive compliance management platform designed to transition policy administration from static document storage to an active, workflow-driven governance engine. Our methodology centers on a modular, role-based architecture that facilitates seamless drafting, sequential review, and automated approval workflows. To ensure high usability for non-technical healthcare staff, we implemented artificial intelligence-driven retrieval mechanisms, enabling fast and accurate searches of critical procedures during high-stakes situations. Furthermore, to mandate active comprehension, the system utilizes a compliance evaluation engine that requires personnel to successfully complete dynamically generated quizzes before their acknowledgment is officially registered. The implementation of this platform yields several key contributions to healthcare administration. It establishes a highly available, audit-ready single source of truth for all institutional guidelines, backed by stringent security and access controls. The automated tracking of employee evaluations, coupled with real-time feedback loops and incident analytics, provides administrators with actionable visibility into departmental compliance levels. Ultimately, this scalable solution mitigates operational risks, fosters a culture of accountability, and significantly improves the efficiency of the entire policy lifecycle across complex organizational structures.

Unisphere – An Integrated Smart Student Management & Support Platform

Unisphere is an integrated web-based student support and management platform designed to address common academic and administrative challenges faced by university students. The system aims to resolve issues such as exam clashes, timetable clashes, lack of centralized notifications in LMS, difficulty in accessing internship opportunities, and ineffective communication of student concerns. Unisphere provides a unified solution by combining multiple modules including academic planning, internship portal, complaint management system, and an AI-powered chatbot for student assistance. The platform enhances student experience by improving accessibility, reducing scheduling conflicts such as exam and timetable clashes, and minimizing communication gaps. It also supports better academic organization and decision-making for students. Additionally, it promotes efficient interaction between students and university administration through a centralized digital environment. The proposed system is developed using modern web technologies and focuses on usability, scalability, and modular design to ensure future enhancements and integration with institutional systems.

Indusconnect - Enterprise Transport & Accomodation Management System Of Ihnn

IndusConnect is an AI-enhanced modular ERP ecosystem designed for the Indus Hospital & Health Network (IHHN) to centralize and optimize employee mobility. As IHHN expands, the logistical burden of managing daily commutes and inter-campus travel has become a significant cost center. Built on the Odoo ERP framework, the system integrates three key modules: Corporate Travel, Daily Commute (Shuttle) Management, and Expense Automation. The system utilizes the Vehicle Routing Problem with Time Windows (VRPTW) algorithm to minimize fleet distance and fuel consumption. Additionally, it employs Isolation Forest for financial fraud detection and OCR for automated expense processing. By prioritizing internal assets like IHHN-owned guest houses through an "Internal-First" algorithm, IndusConnect transforms logistics into a strategic asset, ensuring maximum fiscal control and data sovereignty.

Ultimatetruth(Cybersecurity Toolkit)

The toolkit is a modular, GUI-based desktop application developed in C++ using an object-oriented approach to provide essential cybersecurity utilities within a single unified platform. The system is designed to address common security needs such as password strength evaluation, file integrity verification, and basic system monitoring through an extensible and scalable architecture. By leveraging the principles of OOP—such as abstraction, inheritance, and polymorphism—the application is structured to support independent security tools that can be easily added, modified, or removed without affecting the overall system.

Salah Tracker

The Namaz Tracker will be developed using object-oriented programming to help users record their daily prayers. The system will include basic classes to manage prayer names and their completion status. Users will be able to mark each prayer as completed or missed through a simple interface. The program will store and display daily prayer records, allowing users to easily track their consistency. The focus of the project is on simplicity, user interaction, and clear data representation. Future improvements may include reminders and a graphical user interface.

2D Game Engine With Ai Battle Arena

The 2D Game Engine with AI Battle Arena is developed using C++ and OOP concepts. It creates a simple 2D game where a player battles AI-controlled enemies in an arena. The project demonstrates key OOP principles like encapsulation, inheritance, polymorphism, and abstraction, while including features such as player movement, shooting, collision detection, and score tracking.

Digital Time Travel Simulator

The Digital Time Travel Simulator is an object-oriented program that allows users to explore different historical eras by selecting time periods and viewing their key events, characters, and environments. It uses core classes like TimeMachine, Era, HistoricalEvent, and Traveler to structure the system, while its standout feature lets users modify events to create alternate timelines. This makes the project both interactive and educational, showcasing OOP concepts in a creative and engaging way.

Railway Ticket Reservation System

This project aims to develop a Railway Ticket Reservation System using Object-Oriented Programming (OOP) concepts. The system will allow users to view train schedules, book tickets, cancel reservations, and check ticket status.

Student Freelance Market System

The Student Freelance Market System is a platform where students can register as freelancers and clients can post projects. Students can view available projects, place bids, and get selected based on their skills. This system helps students gain practical experience and demonstrate Object-Oriented Programming concepts using C++.

Restaurant Order And Reservation System

The Restaurant Order and Reservation System is an object-oriented C++ program designed to manage restaurant operations efficiently. The system allows the restaurant to add and display menu items, place customer orders, and calculate the total bill. It also provides a table reservation feature where customers can book tables by entering their name, table number, and time. The program uses classes such as MenuItem, Order, Reservation, and Restaurant to organize data and functions. Concepts of Object-Oriented Programming like classes, objects, and encapsulation are implemented in the project. A menu-driven interface is used to make the program easy to operate. This system helps demonstrate how programming can be used to automate real-life restaurant management tasks.

Advanced Multiplayer Car Racing Game

The Racing Car Game is a console-based application developed using Object-Oriented Programming (OOP) in C++. The purpose of this project is to create an interactive racing environment where players control cars, avoid obstacles, collect coins, and use fuel power-ups while competing for the highest score.

Travelbuddy

TravelBuddy — Console Travel Partner Matcher (C++)is a menu-driven OOP application where users can sign up, log in, and create travel profiles with interests and preferences. The system matches users with compatible travel partners based on shared interests, location, and travel dates. Users can join/create trip groups and communicate through a simple chat system.

Intership Candidate Finder

A simple C++ application using OOP concepts to manage and match internship candidates based on skills and requirements, with features like adding, searching, and shortlisting profiles.

Console Based Game Called "Bone Snake"

In the bone snake game, the player controls the snake using keyboard input.The snake moves across the grid and collects food itmes that appears randomly. when the snake eats food, its length increases and the the score increases. if the snake collides with the wall or its own body, the game ends

Car Rental Management System With Ui

A Car Rental Management System App with Admin User Hierarchy, Car & User Registration, Rental Functions with Functional GUI

Adventure Game

It’s a small 2D adventure game.The player explores a map.Encounters enemies.Can fight, collect weapons, and gain points.Can fight, collect weapons, and gain points.

Checkout Simulator With A Game

This project aims to develop a Checkout Simulator system integrated with a simple game, Minesweeper. The checkout simulator will mimic a real-world billing system where users can add items, calculate totals, and generate receipts. Alongside this, the Minesweeper game will be included to provide an interactive and engaging experience during idle time

Smart Garbage Monitoring System

We are developing a Smart Garbage Monitoring System in C++ that uses OOP concepts to monitor waste levels, manage bin status, and improve waste collection efficiency.

A Fighting Game

This project is a 2D space shooter game developed in C++ using Object-Oriented Programming (OOP) concepts. The player controls a spaceship, shoots enemies, and avoids collisions while enemies continuously spawn and increase the difficulty. The game includes features like scoring, collision detection, and a lives system, ending when the player loses all lives and displaying the final score.

Pet Cat Simulator Game

C++ game, in which there will be 4 of 5 different modes to play with the cat ( hungry, eat,sleep,play and the cat can also be deseaced if not taken care of..etc),  it will also be made using sfml to make a visually good gui for a better user experience.

Interactive Riddle Quiz System

Console-based C++ OOP riddle quiz with secure login, multiple categories and difficulty levels, using inheritance and file handling to save progress and scores.

Smart E-Commerce System With Recommendation Feature

A Smart E-Commerce System developed in C++ using OOP concepts, where users can browse products, add multiple items to a cart, and place orders. The system also includes a recommendation feature that suggests related products.

Distributed Satellite Network Simulator

This project simulates a swarm of small satellites working together in space. It is built using C++ OOP concepts like classes, inheritance, and state machines.

Campusconnect:

The Student Delivery App is an object-oriented system designed to facilitate peer-to-peer delivery services within a university environment. In this application, students can act as buyers, sellers, or delivery agents, enabling efficient exchange of goods across different locations.

Medconnect Scheduler

MedConnect Scheduler is an OOP-based system that manages doctor-patient appointments efficiently. It allows booking, scheduling, and conflict-free management using classes and objects

Subscriptions Tracker

Then every would be working the exact way we program

Git Like Code Version Database

The GitHub-Like Code Version Database is a relational database project designed to store, manage, and track different versions of source code. It models version control using entities such as users, repositories, commits, branches, files, and change logs. The system uses primary and foreign keys, normalization, and indexing to maintain data integrity and efficient retrieval. Advanced SQL features like recursive queries help represent commit history, while optimized queries support operations such as tracking code changes, managing branches, and restoring previous versions. The project demonstrates key database concepts including schema design, relational mapping, and query optimization.

Sports Analytics Database

Sports Analytics Database stores and analyzes sports data like player stats and match results. It helps users track performance and make better decisions using organized data.

Algoviz Pro

This project is a Java-based DSA visualization tool that helps users understand data structures through interactive GUI. It is integrated with SQL Server to store and track operations, making learning more practical and efficient.

Job Application Tracker

A full-stack job application tracker that lets users manage their entire hiring pipeline, from first application to final offer in one place. The backend features a normalized relational schema tracking companies, roles, interview stages, contacts, and deadlines, with queries that surface actionable insights like response rates and stale applications.

Fitness Center

The Fitness Center Database Project is designed to efficiently manage and organize all operations of a fitness center. The system stores important data such as member details, trainer information, workout plans, class schedules, and payment records in a structured way.

The main objective of this database is to reduce manual work, improve accuracy, and provide quick access to information. It helps staff easily register new members, track attendance, assign trainers, and manage memberships and fees.

Blood Donation System

The Blood Donation System is a database-based application that stores and manages donor information such as blood group, location, and availability. It helps patients and hospitals quickly find suitable donors in emergency situations. The system also keeps records of blood requests and donations, ensuring efficient and reliable data management. Its main purpose is to reduce the time needed to find blood and improve the overall donation process.

Prediction Of Preterm Birth Using Ml On Electro Hysterography (Ego)Signals Form Physio Net

Preterm labor is a critical issue in maternal healthcare that requires early and accurate prediction. Electrohysterogram (EHG) signals provide a non-invasive way to monitor uterine activity; however, these signals are noisy and datasets are highly imbalanced, which affects prediction performance. In this project, raw EHG signals are first processed using advanced denoising techniques, including Discrete Wavelet Transform (DWT), Savitzky–Golay filtering, and CEEMDAN, to improve signal quality. Relevant features are then extracted from the denoised signals. To handle class imbalance between term and preterm cases, SMOTE and BorderlineSMOTE are applied, and feature correlations are analyzed before and after balancing. Furthermore, different feature ranking techniques such as Mutual Information, ANOVA, and Recursive Feature Elimination (RFE) are applied to identify the most informative features. A comparative analysis is performed to evaluate the impact of denoising and feature selection methods on prediction performance. The proposed framework aims to improve the accuracy, robustness, and interpretability of preterm labor prediction, contributing to reliable clinical decision support systems.