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Final Year Project Report (BUES): Recent submissions

  • Effective Use and Interpretation of Geographical Data in Regional Mineral Exploration in Northern Areas of Pakistan 
    Maimoona Luqman; Hamna Khushbakht (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2023)
    The northern areas of Pakistan are known to have significant mineral resources, but their exact locations and specified characteristics are not well understood due it accessibility to these areas and exposure of minerals ...
  • 2D Seismic Interpretation and Petrophysical Analysis of Ziarat Area Central Indus Basin Pakistan 
    Hamza Shahid; Hammad Zeb (2020)
    The main purpose of the study is to evaluate the hydrocarbon potential of the Ziarat area that lies in the Middle Indus basin, at a distance of about 130 km from Quetta. The area is accessible through Quetta-Ziarat and ...
  • 2D Seismic Interpretation of Fazilpur Area, Central Indus Basin, Pakistan 
    Ahmad Mumtaz; Shahzaib Khan; Muhammad Fasih (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2020)
    Structural analysis has been done using the 2D seismic data of the Fazilpur area, central Indus Basin Pakistan. Bahria University and the Directorate General of Petroleum Concession (DGPC) provided 2D seismic reflection ...
  • 2D Seismic Interpretation of Indus Offshore Basin, Pakistan 
    Rubab Anis Khan; Fahima Qayum; Sara Abbasi (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2009)
    Seismic lines PC/86-9033, PC/86-9074, PC/86-9019, and PC/86-9052 obtained from Directorate General of Petroleum Concessions (DGPC), were shot by Petro Canada and OGDCL in 1986 in the Indus Offshore area which lies 128 km ...
  • 2D Seismic Interpretation and Petro physical Analysis In Sahki Sarwar Area, Burzi-01 Well, Lower Indus Basin, Pakistan 
    Tehreem Bint Sagheer; Iraj Shuja Malik (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2024)
    This study analyzes the structural features and hydrocarbon potential of Sakhi Sarwar is located in Baluchistan, Pakistan, within the Sulaiman Fold Belt of the Lower Indus Basin. The area is bounded to the west by the ...
  • 2D Seismic Interpretation of Kabirwala Area, Central Indus Basin, Pakistan 
    Muhammad Adnan; Muhammad Hashim Ali; Sajjad Ahmed (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2019)
    Structural analysis has been performed using 2D seismic data of the Kabirwala area, Central Indus Basin Pakistan. The 2D seismic reflection data was provided by the Directorate General of Petroleum Concession (DGPC), while ...
  • Sedimentology of Lockhart Formation, Ratta Shah Chowk, Taxila, Punjab, Pakistan 
    Kashmala Batool (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2024)
    A portion of the Lockhart Limestone outcrop exposed in the Margalla Hills ranges is investigated for its microfacies analysis and diagenetic fabric. The medium to thick-bedded, nodular, and occasionally brecciated limestone ...
  • Microfacies Analysis of Margalla Hill Limestone, Kuzagali, Khyber Pakhtunkhwa, Pakistan 
    Mehak Raja; Minahil Malik (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2024)
    This research project deals with biostratigraphy and microfacies analysis of the Eocene Margalla Hill Formation found in Kuza gali, Murree Islamabad. The Margalla Hill Limestone is well exposed in the study area, having ...
  • Integrated 2D Seismic Structural Interpretation, Attribute Analysis, And Subsurface Restoration Of Talagang Area, Upper Indus Basin, Pakistan 
    Malik Ubaid Ur Rehman Noon; Zeeshan Karim (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2024)
    Our Study area is in the Talagang District of the Potwar Plateau in the Upper Indus Basin in Pakistan, near the western Salt Range, it holds significant importance as a major hydrocarbon-producing District. It is marked ...
  • 2D Seismic Interpretation And Petrophysical Analysis Of Dina Oil Field, Upper Indus Basin, Pakistan 
    Saad Bin Nazir; Farhan Abdul Munim (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2024)
    This study presents a thorough analysis of seismic data and petrophysical properties of the Shahab-01A well in the Dina area of the Upper Indus Basin, focusing on the Chorgali Formation and Sakesar Limestone reservoirs. ...
  • 2D Seismic Data Interpretation And Petrophysical Analysis Of Kal Oil Field, Pothwar Basin, Pakistan 
    Rohail Ahmed Khan; Dilawar Abbas (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2024)
    Eastern Pothwar basin hosts some of the most complex structural geometries which make hydrocarbon exploration problematic and necessitate to carry out subsurface structural analysis more carefully and accurately. The present ...
  • Automated Lungs Disease Detection Using Hybrid Deep Learning Technique 
    Kashif Shabbir, 01-132202-049; Muhammad Sanwal Noor, 01-132202-031 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    This paper presents a current state of the art approach to the early detection and classification of lung diseases using medical images based on the use of deep learning models – Convolutional Neural Networks (CNNs). ...
  • Artificial Intelligence Based Baggage Scanner System 
    Zubair Ahmed, 01-132202-045; Ayesha Noor, 01-132202-008 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    The primary objective of an artifcial intelligence-based baggage scanning system is to enhance safety and security in complex environments by effectively detecting contraband items, a crucial measure for public safety. The ...
  • Real-Time Driving Assistant using Deep Learning & Object Tracking 
    Muhammad Mahed Ahsan, 01-132202-051; Raffeain Khalil, 01-132202-037 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    In this final year design project, we present a real-time driving assistant system that leverages deep learning and object tracking algorithms to provide assistance to the driver of the host vehicle and make our roads ...
  • Smart Security System Based On Intrusion And Anomaly Detection 
    Hamza Ullah Khan, 01-132192-012; Muhammad Maaz, 01-132202-028; Ammar Ali Khan, 01-132202-005 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    The prevalence of security threats necessitates innovative solutions for effective surveillance and threat detection. In response, we introduce our final year project, the ’Smart Security System Based on Intrusion and Anomaly ...
  • AI-Driven Strategies For Detecting Fake News 
    Muhammad Usman Khan, 01-132202-033; Muhammad Uzair Zia, 01-132202-034 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    The propagation of disinformation online has become a major factor in undermining the trustworthiness of modern data circulation processes. The main purpose of this fnal year project is to fll this gap by creating such a ...
  • Tweet Sense: Decoding Sentiments In Tweets Through NLP and Deep Learning 
    Humaima Anwar, 01-132202-013; Abdul Rehman Akram, 01-132202-002 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    This work aims to classify tweets into multiple topics and predict emotions and sentiments from tweets by using techniques like Natural Language Processing (NLP), Transformers, Deep Learning, and Machine Learning based on ...
  • Sign2text: Real-time Sign Language Translator Using Deep Learning 
    M. Aayan Khattak, 01-132202-001; Ahmed Raza Kalair, 01-132202-046; Talha Iqbal Butt, 01-132202-052 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    This thesis examines the Sign language translator, one of the most useful computer vision and action recognition applications. Previous sign language translators often do not offer action gesture translation, lack stability, ...
  • Personality Assessment Through Interactive Engagement 
    Syed Furquan Haider Zaidi, 01-132202-041; Syeda Fatima Gilani, 01-132202-043 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    Personality assessment has traditionally relied on questionnaires, surveys, and in-person interviews, which are often tedious and stressful for individuals seeking self-evaluation. The project aims to revolutionize personality ...
  • Predictive & Preventive Maintenance System 
    Muhammad Junaid Maqsood, 01-132202-015; Mohammed Hassan Khan, 01-132202-022; Muhammad Zain-ul-Abeedin, 01-132202-035 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    Predictive and preventive maintenance strategies are critical in modern industries to ensure optimal equipment performance and longevity. Predictive maintenance utilizes data analytics to predict equipment failures and ...

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