• Arm Motion Replicator Using Electromyography (EMG) 

  Daniyal Shaukat Chaudhary, 01-132202-009; Aliza Khan, 01-132202-047; Ahsan Hayat Khan, 01-132182-004 (Computer Engineering, Bahria University Engineering School Islamabad, 2024)

  Paralysis affecting only one limb, known as monoplegia, is frequently caused by brain injuries, strokes, or other neurological illnesses. Since monoplegia patients have severe difficulties performing daily tasks, assistive ...
• 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 ...
• Plant Disease Detection Robot 

  Hasan Javed Butt, 01-132162-036; Muhammad Ali Hayat Gondal, 01-132162-038 (Computer Engineering, Bahria University Engineering School Islamabad, 2020)

  In many countries, the agricultural industry plays a vital role in the uplift of their national income. The demand in the agricultural industry has been increased because of which it is necessary that the agricultural/cultivation ...
• Building Data Warehouse to Achieve Business Intelligence 

  Zara Ijaz, 01-132172-032; Fatima Ismail, 01-132172-011; Misbah Batool, 01-132162-037 (Computer Engineering, Bahria University Engineering School Islamabad, 2021)

  Data Warehousing and Business Intelligence is widely used to extract information and knowledge from the data in order to make efficient decisions. In the proposed system the techniques used are related to Data Warehousing ...
• Identification of Human Emotions from FEG Signals Using Deep Learning Model 

  Muhammad Ali Khan, 01-132172-007; Ahsan Tariq, 01-132172-050; Nermeen Tasaddaq, 01-132172-042 (Computer Engineering, Bahria University Engineering School Islamabad, 2021)

  Emotion is a condition that completely presents human thoughts, feelings, and attitudes, every human carries emotion. Human emotions are being detected through electroencephalogram signals. Here the targeted data set is ...
• Customer Churn Reduction in Telecom 

  Rana Humza Riaz, 01-132172-026; Muhammad Kaleem Ullah, 01-132172-020 (Computer Engineering, Bahria University Engineering School Islamabad, 2021)

  In telecom industry, the key focus is to retain the customer at any cost. It's more difficult and expensive to attain new customers than retaining the old customers. So, the company aims to avoid the churn as much as ...
• Surveillance of Gathering by Using Computer Vision 

  Ahsan Zafar, 01-132172-005; Zia Ur Rehman, 01-132172-045; Soud Mohsin, 01-132172-048 (Computer Engineering, Bahria University Engineering School Islamabad, 2021)

  The importance of facial recognition systems has accelerated in recent decades. A facial recognition system is part of the processing of biometric information. The field of facial recognition is rapidly growing into a vital ...
• Real - Time Optimal Facial Feature Based Emotional Recognition Using Deep Learning Algorithm 

  Awais Shafiq, 01-132192-042; Muhammad Mudassir Zaman, 01-132192-024; Danish Ali Khan, 01-132192-008 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)

  The domain of facial feature identification (FER) has garnered significant attention in the fields of computer vision and pattern recognition, with deep learning approaches demonstrating their effectiveness ever since their ...
• Reviving Images 

  Anwaar Ali, 01-132182-057; Arsalan Khan, 01-132192-005 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)

  In the domain of digital imagery, image restoration is crucial for revitalizing degraded images and recovering their former splendor. The “Reviving Images” project concentrates on developing an innovative method for restoring ...
• AI-Based Reconstruction for fast MRI 

  Umair Zaheen, 01-132192-045; Hamza Khan, 01-132192-011 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)

  AI-based reconstruction for fast MRI is the most up-to-date way to make magnetic resonance imaging (MRI) faster. This method uses deep learning techniques to build high-quality MRI pictures from under-sampled k-space data. ...

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