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Welcome to the Bahria University DSpace digital repository. DSpace is a digital service that collects, preserves, and distributes digital material. Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication.

Bahria University Libraries: Recent submissions

  • EZ Ride 
    Syed Ahmad Hussain, 01-135211-079; M. Bilal khan, 01-135211-048 (Computer Sciences, 2024)
    EzeRide application is designed to offer a user-friendly experience to passengers, also providing a platform for drivers to earn a decent income. The main purpose of developing EzeRide is to provide convenience to students ...
  • Multi-Stage Industrial Robot for Transportation 
    Mohsin Akhlaq, 01-133212-051; Muhammad Abdullah, 01-133212-056; Muhammad Saad, 01-133212-081 (Electrical Engineering, Bahria University Engineering School Islamabad, 2025)
    Automation in warehouse material handling increases efficiency, reduces costs, and improves safety. The traditional method of manual handling is slow, labor-intensive, and error-prone. In this thesis, we discuss an Autonomous ...
  • Wireless AMR For Residential User 
    Zakir Hussain, 01-133212-148; Ikhtasham Ullah, 01-133212-038; Qasim Bin Sajjad, 01-133212-109 (Electrical Engineering, Bahria University Engineering School Islamabad, 2025)
    This article describes a wireless Automatic Meter Reading (AMR) system for home energy management. The system provides real-time monitoring, theft detection, remote control, and user notifications, through GSM and IoT ...
  • IoT-Based Smart Waste Monitoring System 
    Muhammad Sohail, 01-135211-090; Bu Ali Sher, 01-135211-022 (Computer Sciences, 2024)
    The objective of the Smart waste monitoring system is to revolutionize traditional waste collection methods by introducing a technologically enhanced and efficient alternative. By providing real-time monitoring capabilities, ...
  • Sign Sense Translator 
    Hassaan Khalid Sheikh, 01-135211-035; Najam Ul Haq, 01-135211-065 (Computer Sciences, 2024)
    The Sign Sense Translator is designed to bridge the communication gap between the deaf and hearing communities by translating American Sign Language (ASL) gestures into text in real time. Utilizing cutting-edge technologies ...
  • Secure Ballot Voting System Using Blockchain 
    Muhammad Rehan Khalid, 01-135211-057; Sonia Rani, 01-135211-077 (Computer Sciences, 2024)
    The ”Secure Ballot Voting System Using Blockchain” project aims to tackle the inefficiencies and security vulnerabilities of traditional voting systems by leveraging blockchain technology. The current electoral process ...
  • Search Engine for Legal Documents and Pleaded Cases in Courts 
    Muhammad Abdullah, 01-135211-100; Farrah, 01-135211-028 (Computer Sciences, 2024)
    The increasing complexity of legal research and the demand for quick, efficient legal services, particularly in Intellectual Property Rights (IPR), require innovative solutions. This project proposes the design of an ...
  • Tailored Nutrition for Health-Conscious People 
    Syed Shahmeer Ali, 01-135211-082; Muhammad Nouman, 01-135211-056 (Computer Sciences, 2024)
    DietAid offers users quick, personalized, and healthy meals that fit a diet or health need. The application targets health-conscious individuals in particular. It is intended to solve the rise in demand for healthy meal ...
  • Kidden Universe 
    Sayyam Basharat, 01-135211-073; Irsa Riaz, 01-135211-038 (Computer Sciences, 2024)
    Kidden Universe is a comprehensive mobile application designed to combine general educational content with Islamic teachings, targeting the holistic development of children. Built using the Flutter framework for cross-platform ...
  • Alloy Stewardship Application 
    Abdul Ghafar, 01-135211-001; Toheed Ali Satti, 01-135211-083 (Computer Sciences, 2024)
    The Alloy Stewardship Application is an advanced digital solution aimed at transforming steel warehouse operations from traditional manual workflows to a fully automated system. The project aims to replace traditional ...
  • Retain Edge: A Predictive Approach to Employee Retention 
    Abdul Wahab, 01-135202-002; Aneesa Jabeen, 01-135211-015 (Computer Sciences, 2024)
    In today’s competitive corporate landscape, employee retention is a critical challenge for organizations aiming to maintain productivity and reduce turnover costs. The project RetainEdge: A Predictive Approach to Employee ...
  • Communi Gate 
    Zainab Jamshaid, 01-135211-106; Summan Sarfraz, 01-135211-078 (Computer Sciences, 2024)
    Today, it is extremely important to effectively manage a community and guarantee its security, especially taking into account the current rate of development of infor- mation technologies. CommuniGate is an application for ...
  • Personal Cash Flow Navigator 
    Muhammad Sirat Wali khan, 01-135211-059; Mahnoor Khan, 01-135211-096 (Computer Sciences, 2024)
    Managing personal finances effectively is crucial in today’s fast-paced world, but many existing systems fall short. Conventional methods like spreadsheets and manual logs are prone to errors, and current financial apps ...
  • IRS Enhanced UAV Network Resource Allocation for 5G and Beyond Communication 
    Hanan Ali Khan, 01-133212-031; Muhammad Haseeb Aslam Minhas, 01-133212-068 (Electrical Engineering, Bahria University Engineering School Islamabad, 2025)
    Heterogeneous networks, or HetNet’s which are made up of different communication technologies are increasingly indispensable Elements necessary to achieve the high data rate requirements for future wireless systems. Terahertz ...
  • Fit-Bot: Automated Therapist Robot 
    Muhammad Arham Ehtesham Kakar, 01-133212-061; Talha Shahzad, 01-133212-137; Naveed Ur Rehman, 01-133212-105 (Electrical Engineering, Bahria University Engineering School Islamabad, 2025)
    Stroke is a life-threatening condition involving the blockage of blood flow to the brain, resulting in a lack of oxygen and possible irreversible damage to brain tissue. In Pakistan, around 350,000 cases of stroke are ...
  • Precision Agriculture: Harnessing ML/DL for Rice Leaf Disease Diagnosis 
    Muhammad Hashim, 01-243222-006 (Computer Sciences, 2025)
    Machine Learning (ML) and Deep Learning (DL), more advanced techniques, are being studied in this particular paper as a method for early recognition and classification of leaf diseases on rice plants only for four common ...
  • AI-Driven Insights: Enhancing HR Strategies with Job Change Predictions 
    Umer Ikhlas Sheikh, 01-243222-012 (Computer Sciences, 2025)
    Employee attrition is a significant problem that impacts organizational stability, productivity, and financial performance. High employee turnover generates various far-reaching costs, such as recruitment expenses, training ...
  • Intelligent Resource Management Framework Using Context Aware Statistics for B5G Network 
    Muhammad Idrees, 01-243222-007 (Computer Sciences, 2025)
    With the rapid evolution of mobile communication from 1G to 6G, efficient resource management has become essential to meet increasing demands of the networks. Traditional static allocation methods struggle to handle dynamic ...
  • AI-Driven for Smart Concrete Bridge Inspection and Maintenance 
    Hafiz Muhammad Ahmad, 01-243222-003 (Computer Sciences, 2025)
    Concrete bridges require timely and accurate defect detection in order to maintain their structural safety, time-consuming, expensive processes often suffer from human errors. Meta-learning is applied to enhance convolutional ...
  • Exploring Evolutionary Algorithms for Optimal Features Selection to Detect Anomaly Based Intrusion In IoT 
    Ali Arshad, 01-243231-002 (Computer Sciences, 2025)
    In light of the fast-evolving scenario of the IoT, network security constantly bears immense challenges due to the increasing number of cyber threats and vulnerabilities. Traditional intrusion detection systems use predefined ...