Bahria University Libraries: Recent submissions

  • Harvest Link (Blockchain in Agriculture Supply Chain) 
    03-134202-088, Usman Muhammad Jahangir Alvi (2024-06-01)
    The agricultural supply chain (hereafter ASC) is the key to economies around the world, it allows multiple industries to grow globally and has many players starting with farmer down to final consumer. The ASC, despite its ...
  • Respiratory Disease Diagnosis and Management Tool (RDM) 
    03-134202-028, Jawad Abdullah (2024-06-01)
    The Respiratory Disease Diagnosis and Management System (RDM) employs advanced machine learning, notably Convolutional Neural Networks (CNNs), to improve diagnostic accuracy for respiratory conditions like Chronic Obstructive ...
  • Harmony Hub 
    03-134202-044, M.ATIF NADEEM (2024-06-01)
    "Harmony Hub" is an innovative digital platform with the capacity to revolutionize the volunteer realm. This platform integrates transparency, trustworthiness, and collaboration to fulfil the intricate needs of academic ...
  • Admission Recommender System 
    03-134202-034, Muhammad Abdul Qadeer (2024-06-01)
    The goal of this project is to design an Admission Recommender System specific to Master’s programs and based on the prediction of candidates’ performances based on key indicators such as GRE scores and CGPA. The system ...
  • Varsity Hub 
    03-134202-011, Arham Butt (2024-06-01)
    The lack of a dedicated platform for sports connection is a problem for school athletes who want recognition and for fans who want to communicate directly. Athletes could find it difficult to display their abilities ...
  • CoreRep 
    03-34202-068, Muhammad Usman Shahid (2024-06-01)
    CoreRep is the mobile application primarily focusing on individuals who work out wrong or not working out. In the realm of fitness and exercise, maintaining correct posture is crucial for safety and efficacy, yet it remains ...
  • Royale War 
    03-134212-070, Muhammad Awais (2024-06-01)
    Real-time strategy games have always been the most famous and favorite among all gamers since the start of gaming history. Classical real-time games consist of different strategies where you must focus on making different ...
  • Texas Mobile Selling Application 
    03-135202-014, Muhammad Umar (2024-06-15)
    There seems to be the right approach in attempting to connect customers to the nearby telephone retailers that can potentially offer them lower prices. Some things I would consider: Among them is the ensuring of the security ...
  • "DDoS Attack Detection System Using Machine Learning" 
    03-135202-033, Aisha Nazir (2024-06-01)
    Distributed Denial of Service (DDoS) attacks are the major issues that introduce disruption of accessibility and reliability of the network services. The purpose of this report is to demonstrate an overall recognized machine ...
  • Deep Learning Technique Enabled Eeb Application Firewall for Detection of Eeb Attacks. 
    03-135202-022, Usfa Shahid (2024-05-01)
    This project is focused on advancing the WAF (Web Application Firewall) technology on the basis of incorporating instant forecast using deep learning models – LSTM (Long Short-Term Memory) and RNN (Recurrent Neural Networks). ...
  • SnapTick 
    03-135221-034, Hamza Shahid (2024-06-01)
    In today's digital era, customers seek personalized experiences, especially when purchasing decorative items such as picture frames. The challenge is to visualize how a personal photograph will look when framed. Customers ...
  • Personality Traits Assessment 
    03-135202-015, Muhammad Umer Farooq (2024-06-01)
    Recruitment professionals need to hire capable candidates as it contributes to better decision-making, team building, leadership development, and conflict resolution. By leveraging the best candidate, HR can create a more ...
  • Air Pollution Prediction System 
    03-135202-026, Aima Mujahid (2024-01-15)
    Air pollution is a great area of concern all across the world, involving life and the environment as a whole. All these areas of concern that regard life, the environment, health, and other different ecosystems need to ...
  • Loop 
    Muhammad Omer Shahzad, 01-135212-065; Zaid Ahmad, 01-135212-101 (Computer Sciences, 2025)
    The retail sector under present-day fast speed requirements seeks continuous methods to optimize efficiency together with strengthened security protocols while ensuring complete customer satisfaction. Businesses struggle ...
  • A Deep Learning Based Computational Model for Accurate Prediction of Antigenic Protein 
    Muhammad Iqbal, 01-243231-014 (Computer Sciences, 2025)
    Precise prediction of antigenic proteins (APs) is crucial for accelerating vaccine development, antibody engineering, and immunotherapeutic research. This study presents a novel and effective deep learning framework the ...
  • Intrusion Detection of Adaptive Attacks using Federated Learning 
    Laiba Gul, 01-243232-002 (Computer Sciences, 2025)
    The rapid expansion of the Internet of Things (IoT) has significantly increased the cyber-attack surface, exposing infrastructures to adaptive and stealthy threats. Traditional Intrusion Detection Systems (IDS), whether ...
  • A Framework for Detection of Fileless and Cryptojacking Malware 
    Muhammad Ahmed Raza, 01-247232-011 (Computer Sciences, 2025)
    The rise of stealthy and evasive mal ware particularly fileless mal ware and cryptojacking poses a significant challenge to traditional security mechanisms that rely on file-based signatures and static analysis. This thesis ...
  • Enhancing Pharmacological Interaction Prediction in Otolaryngology Using Computational Methods 
    Muhammad Junaid, 01-243232-004 (Computer Sciences, 2025)
    Drug-Drug Interactions (DDIs) cause major clinical challenges leading to adverse drug reactions, lower the therapeutic value of drugs, and increase the overall healthcare burden, especially in the otolaryngology domain ...
  • Anomalies Detection in Smart Building 
    Bushra Khadim, 01-249231-004 (Computer Sciences, 2025)
    Anomaly detection involves identifying data points or patterns that significantly diverge from expected behavior within a system, often due to external disruptions, faults, or uncertainties during operation. In smart ...
  • Classification of Functional and Non-functional Software Requirements from User App Reviews 
    Aleena Zainab, 01-243231-001 (Computer Sciences, 2025)
    This research explores the important difference between Functional Software Requirements (FRs) and Non-Functional Software Requirements (NFRs). FRs describe what a software system should do, such as user authentication and ...