• Stress / Workload Assessment Using Multimodal Approach 

  Aina Shireen, 01-132212-005; Kamal Hussain Shah, 01-132212-020; Muhammad Sohail, 01-132212-029 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)

  The growing interest in monitoring cognitive workload has sped up the research in intelligent systems that utilize physiological signals. Mental workload (MWL), if unmanaged, can degrade human performance in safety-critical ...
• Object 3D Reconstruction Using Photogrammetry and AI 

  Arooj Yousaf, 01-132212-010; Hasnain Ayaz, 01-132212-016; Muhammad Hassan Aamir, 01-132212-026 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)

  This thesis focuses on 3D object reconstruction using photogrammetry combined with artificial intelligence (AI), a rapidly evolving field with uses in the gaming industry, e-commerce, digital archiving, interior designing, ...
• Kinesis Pro Standing Wheelchair 

  Ali Uzair, 01-132212-006; Jawad Ali Mirza, 01-132212-019; Muhammad Masharib Khan, 01-132212-028 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)

  Mobility limitations present significant challenges for individuals with physical disabilities, particularly in low- and middle-income countries where access to advanced assistive devices is restricted by high costs and ...
• Brain Tumor Detection and Segmentation MRI Images Using Deep Learning 

  Adan Irshad, 01-132212-046; Hussain Ali Syed, 01-132212-057; Talha Shahzad, 01-132212-059 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)

  Because of the intricate nature of tumor formations and their neurological effects, brain tumor identification and segmentation continue to be significant issues in medical imaging. With an AlexNet-based CNN for classification ...
• Early Diabetes Detection 

  Hina Arif, 01-132212-043; Sana Arif, 01-132212-044 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)

  Diabetes, one of the most prevalent metabolic disorders worldwide, requires early and accurate detection for effective management and prevention of complications. This study focuses on addressing the challenges of timely ...
• Early Fire Detection in Forest Using Image Processing 

  Alishba Riaz, 01-132212-007; Arman Iftikhar, 01-132212-009; Muhammad Taimoor, 01-132212-031 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)

  Early fire detection stays vital because forest fires threaten natural ecosystems as well as local wildlife population and nearby residential areas. Fire detection methods that depend on manual patrolling and satellite ...
• Smart Traffic Light System 

  Abdul Manan, 01-132212-001; Muhammad Abdullah, 01-132212-023; Haris Ajmal, 01-132212-048 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)

  Traffic congestion is a critical challenge in urban environments, particularly in densely populated regions like Pakistan, where static, time-based traffic signals fail to adapt to real-time traffic conditions. These ...
• Mental Health Chatbot With AI 

  Ahmad Faraz, 01-132212-004; Sadeed Ullah, 01-132212-038 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)

  An increasing number of individuals face mental health problems, including anxiety, stress, and depression, because academic, social, and personal demands keep rising. The conventional mental health services encounter ...
• Rapid Rovers 

  Abdullah Saeed, 01-132212-003; Syeda Sania Zehra, 01-132212-040; Anum Noor, 01-132212-047 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)

  Urban mobility faces growing challenges due to increasing traffic congestion, sedentary lifestyles, air pollution, and overreliance on private vehicles. These issues degrade the quality of life, harm public health, and ...
• Deep Learning-Based Cancer Detection in Histopathological Images of Breast Pathology 

  Muhammad Awais, 01-132212-024; Mujtaba Ahmed, 01-132212-034; Muhammad Jalal Haider, 01-132212-050 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)

  On a global scale there are an estimated 2.3 million new cases of breast cancer per year. For improvement of patient outcomes and increase of the survival rate, it is essential to detect early and diagnose accurately. ...
• Solar Panel Maintenance 

  Haiqa Aurangzeb, 01-132212-015; Ayesha Nadeem, 01-132212-042 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)

  The project presented in this final year aims to develop an autonomous solar panel maintenance system that will make the process efficient and reliable through the integration of drone technology, deep learning, and advanced ...
• AI-Driven Wheat Rust Detection 

  Jahanzaib Fareed, 01-132212-018; Suleman Sohail Sarwar, 01-132212-039 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)

  Wheat is a staple crop in Pakistan, contributing significantly to national food security and the agricultural economy. It provides nearly 60% of the daily caloric intake for the population and supports the livelihoods of ...
• Smart Surveillance Drone Using Micro Wave Sensor Technology 

  Abdul Saboor Khan, 01-132212-002; Muhammad Ibtisam Khan, 01-132202-027 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)

  This project presents the development of a Smart Surveillance Drone System utilizing mmWave sensor technology for the real-time detection of humans, animals, and birds in diverse environmental conditions. Traditional ...
• 2D Seismic Interpretation and Petro physical Analysis of FIM Kasar Area, Upper Indus Basin, Pakistan 

  Amna Khan; Sadia Sheikh (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2025)

  In the eastern part of the Potwar Sub-basin lies the Fim Kassar area, which is a leading structural division of the Upper Indus Basin of Pakistan.The Potwar Basin is a hydrocarbon-producing area. Because of compressional ...
• 2D Seismic Data Interpretation and Petrophysical Analysis of Layyah Area, Central Indus Basin, Pakistan 

  Muhammad Umer; Hamza Naseer (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2025)

  In this study, our objective was to elucidate the subsurface geology of the Kamiyab area using advanced seismic interpretation techniques and petrophysical methods to estimate hydrocarbon saturation and evaluate reserves. ...
• Assessment Of Physical, Chemical, and Biological Parameters of Drinking Water Quality in Thorar Khas, Azad Kashmir 

  Maryam Sudozai; Sadia Naseem Abbasi (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2025)

  In Pakistan, poor water quality is the main issue affecting both the environment and public health. Both groundwater and surface water including the spring water in the country have been polluted with many toxic substances, ...
• Spatial And Temporal Variations in Air Quality in Islamabad Using Sentinel 5-P Tropomi Data 

  Rimsha Mushtaq; Amna Malik (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2025)

  The study examines spatial and temporal variations on the seasonal scale for the variability of four primary atmospheric pollutants, Nitrogen Dioxide (NO2), Carbon Monoxide (CO), Sulfur Dioxide (SO2), Methane (CH4), and ...
• Enhancing Green University Practices Through Effective Plastic Waste Management Strategies 

  Sayed Yasir Hussain Shah; Tayyab Islam (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2025)

  Plastic pollution has emerged as a major environmental and public health concern, particularly in the institutional settings where single-use plastics are frequently consumed and improperly discarded. This study investigates ...
• Subsurface Structural Interpretation and Petrophysical Analysis of Bitrism Area, Southern Indus Basin, Pakistan 

  M. Daniyal Qureshi; Momin Javeed (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2025)

  This study presents a comprehensive geophysical and petrophysical investigation of the Bitrism area located within the Lower Indus Basin, with a primary focus on hydrocarbon exploration. The seismic interpretation involved ...
• 2D Seismic Data Interpretation and Petrophysical Analysis of Kadanwari Block, Lower Indus Basin, Pakistan 

  Zeerak Abbas, 01-166212-024; Muhammad Haris, 01-166212-014 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2025)

  The thesis was conducted to observe and understand the subsurface geology of the Kadanwari area by utilizing 2D seismic interpretation and the hydrocarbon saturation was estimated utilizing petrophysical formulae. The study ...

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