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BCE (BUES-FYP): Recent submissions

  • 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. ...
  • Missing Person Finder Using Deep Learning 
    Bismillah Asnam, 01-132192-007; Zeeshan Ali, 01-132192-039 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    The increasing number of Missing persons in public spaces such as train stations, airplane terminals, and malls presents a significant challenge for law enforcement agencies and security personnel. In response to this ...
  • Pothole Detection Using Deep Learning 
    Muhammad Raif Ali, 01-132192-027; Muhammad Touseef Shahzad, 01-132192-041 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Potholes on roads are one of the reasons for road accidents and deploying detection units on all roads for better maintenance is difficult. Deep learning-based pothole detection is a more effective method to easily detect ...
  • Mental Workload Detection And Assessment Using Brain Signals 
    Irfan Haider, 01-132182-035; Muhammad Wamiq, 01-132192-029; Dua Mudassar, 01-132192-050 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Electroencephalogram (EEG) signals can be used to identify mental workload, which is a difficult topic with important industrial and medical implications. In this article, we offer a method for identifying a person's mental ...
  • Autonomous Pick And Place Robotic Arm With Object Detection And Recognition 
    Muhammad Zeshan Malik, 01-132192-030; Saqib Maqsood Shaikh, 01-132192-034; Sulaiman Imran Ahmed, 01-132192-037 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Current robotics pick and place automation is done specifically for each environment and task without much human interaction in a workspace. A collaborative pick-and-place robot is a type of robot that can work alongside ...
  • Deep Learning based Object Detection for Vehicles in Local Urban Traffic 
    Khawaja Hassaan Moiz, 01-132192-014; Ali Amer, 01-132192-004 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    The Project focuses on developing a model and a system to detect local urban traffic using a custom locally captured dataset. It captures video feed from a vehicular mounted Camera on a rotatable stabilized platform, which ...
  • E-Safety- “Anti-Theft System On Motorway” 
    Hamza Bin Akhtar, 01-132182-034; Zil-e-Huma, 01-132182-058; Syed Muhammad Ali Imran, 01-132192-038 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    An anti-theft system for a motorway is a security system that helps prevent unauthorized vehicles from entering the motorway. The system utilizes a network of cameras and image processing algorithms to automatically detect ...

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