Final Year Project Report (BUES): Recent submissions

  • 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 ...
  • Arrhythmia Detection In ECG Signals Using Deep Learning Models 
    Iqra Sartaj, 01-132202-014; Maryam Kamran, 01-132202-019; Maryam Liaqat, 01-132202-050 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    As the technology is emerging every day, there is a crucial need of advanced medical diagnosis especially for cardiac diseases. In the real meaning of advanced healthcare, this study addresses the challenges, accurate and ...
  • PLC Based Water Filling Station With Bottle Detection 
    Abdul Subhan Tehami, 01-132202-003; Muhammad Muzammil, 01-132202-021; Raja Muhammad Miraj Ul Islam, 01-132202-038 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)
    This study introduces an automated liquid flling station with advanced bottle detection capabilities, designed to enhance efciency and precision across various industries. The system employs a Programmable Logic Controller ...
  • 2D Seismic Data Interpretation And Petrophysical Analysis Of Dhulian Oil Field, Upper Indus Basin, Pakistan 
    Haider Ali, 01-166202-020; Bilal Farooq, 01-166202-002 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2024)
    The research was conducted to reveal the subsurface geology of the dhulian area by using the seismic interpretation technique and the hydrocarbon saturation was estimated to find the potential reserves by using petrophysical ...
  • 2D Seismic Data Interpretation Of Gupchani Area & Petrophysical Analysis Of Miran-01 Well, Lower Indus Basin, Pakistan 
    Talha Bhatti, 01-166201-017; Usama Mushtaq, 01-166201-018 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2024)
    The Gupchani gas field, which is located in Pakistan's Sindh province's Nawabshah area, is thoroughly examined in this study. The gas field's location, almost 200 kilometres northeast of Karachi and 30 km east of Nawabshah, ...
  • 2D Seismic Data Interpretation And Petrophysical Analysis Of Bitrism Area, Lower Indus Basin, Pakistan 
    Abdullah Hashimi; Riaz Ahmed (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2024)
    2D Seismic data interpretation and petrophysical analysis were conducted on the Bitrism Area that is located in the Khairpur district of Sindh, Pakistan. So, to get information about the subsurface geology and the geological ...
  • 2D Seismic Data Interpretation And Petrophysical Analysis Of Sawan Gas Field, Central Indus Basin, Pakistan 
    Azhar Ali Khan; Tabish Dildar (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2024)
    The research focused on uncovering the subsurface geology of the Sawan area that lies in Khairpur district through seismic interpretation and assessing hydrocarbon saturation using petrophysical techniques. Seismic data ...
  • Application of Seismic Attribute Analysis, Subsurface Structure Interpretation, and Petrophysical Analysis for Delineation of Hydrocarbon Prospect, Mari Area, Central Indus Basin, Pakistan 
    Fahad Khan; Hamais Haider (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2024)
    The Mari Gas Field is located in the Punjab Platform of the Central Indus Basin. This area hosts extensional regime, and normal faults are observed in seismic section. The research has been done to identify the potential ...
  • 2D Seismic Data Interpretation And Petrophysical Analysis Of Nandpur Gas Field Lower Indus Basin, Pakistan 
    Misbah Ahmad, 01-166202-023 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2024)
    The main objective of this geoscientific study is to evaluate subsurface structures and reservoir characteristics of the Cretaceous Sand in the Nandpur Gas field located in the Kabir wala area. The Kabir wala area lies in ...
  • 2-D Seismic Interpretation of Dhandi Area 
    Iqra Jamil; Tabinda Atiq; Sadia Sadiq (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2008)
    The seismic method is the most direct and least ambiguous geophysical method for subsurface lithostructural analysis. The seismic reflection method has the advantage of greater precision than the refraction method and is ...

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