Final Year Project Report (BUES): Recent submissions

  • NLPBoxes (A Text Analytics Engine) 
    Affan Ahmed, 01-131192-002; Shahbaz Hussain, 01-131192-052 (Software Engineering, Bahria University Engineering School Islamabad, 2023)
    Organizations and individuals have to cope with the challenge of gathering valuable insights from vast textual data in the modern digital age. NLPBoxes offers an innovative web-based platform that addresses this need. By ...
  • In-Dukaan 
    Shah Faisal, 01-131192-031; Muhammad Maaz Amjad, 01-131192-047 (Software Engineering, Bahria University Engineering School Islamabad, 2023)
    Our e-commerce app was developed in response to the growing demand for online shopping solutions during the COVID-19 pandemic. As lockdowns and social distancing measures were implemented, many people turned to online ...
  • Drive Train of the Vertical Axis Wind Turbine (VAWT) 
    Khawaja Saad Asif, 01-133192-054; Laiba Rehman, 01-133192-053; Tayyiba Ahmad, 01-133192-135 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    As the global energy crisis continues, researchers are exploring solutions for sustainable and efficient energy production. One study focused on a helical vertical axis wind turbine that utilized renewable energy and ...
  • Conversion of Combustion Engine into Electric Vehicle 
    S. Ammar Shah, 01-133192-154; Muhammad Qasim Idrees, 01-133192-173; Afzal Khan, 01-133192-012 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    The new generation are aiming to reduce exhaust gas pollution by traveling at cruising speed on highways while using an ICE (internal combustion engine), when driving an EV (electric vehicle) in a stop-and-go situation in ...
  • Deep-Learning Based Action Recognition in Basketball 
    Muhammad Hamid Raza, 01-133182-059; Wajahat Khan, 01-133192-137 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    This project endeavors to create a cutting-edge method for identifying movements performed during basketball games through the use of Fast R-CNN and deep learning techniques. The proposed system takes frames extracted from ...
  • Wearable Knee Recovery Device 
    Muhammad Sameer Ul Hassan, 01-133192-092; Osama Bin Shahab, 01-133192-162; Muhammad Meeran Tayyab, 01-133192-169 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Total Knee Replacement (TKR) Surgery is a commonly performed orthopedic procedure, especially among aging populations. However, the rehabilitation period that follows the surgery is often perceived as lengthy and burdensome. ...
  • IOT Based Muscle Fingers Assistive Rehabilitation Device 
    Osama Bin Altaf, 01-133192-106; Muhammad Aniq Siddiqui, 01-133192-066; Sarosh Ghalib, 01-133192-122 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Every year thousands of people get stroke attacks. In which some lose the ability to move their muscles. Some of those stroke survivors lose the ability to move their fingers completely or partially. We present a delicate ...
  • Designing A Low Cost Data Acquisition Card 
    Muhammad Zeeshan Aslam, 01-133192-103; Abdullah Bin Sadiq, 01-133192-007; Muhammad Saad Mughal, 01-133192-088 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Data acquisition is a system that gathers input and output data parameters from field sensors, analyses the data, creates the required control actions for operation, and keeps track of the collected data on a mobile ...
  • Railway Crack Detection Robot 
    Hassan Zulfqar, 01-133192-042; Aftab Ali, 01-133192-011 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    In the past, manual detection of cracks and discontinuities in railway tracks was not only time-consuming but also prone to inaccuracies. To address this issue, a robot was developed for the easy, accurate, and cost-effective ...
  • Video Distortion Detection and Classification In The Context Of Video Surveillance 
    Danyal Aslam, 01-133192-028; Faseeh ur Rehman, 01-133192-032; Muhammad Talha Imran, 01-133192-097 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Video sensors with higher resolution have been developed, however, environmental factors, encoding, and storage technologies often cause distortions in video quality. As a result, the recording or video may become unusable. ...
  • IOT Based Comatose Patient Monitoring System 
    Saad Khan, 01-133192-119; Kashif Taj, 01-133192-086; M.Ashar Ishaq, 01-133192-057 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    A coma is an unresponsive condition of unconsciousness for the sufferer. These patients need constant care and observation. In this project, we put forth a technique for automatically and continually logging patient data ...
  • Secure Medical Imaging Data Using Cryptography With Classification 
    Huraira Arshad, 01-133192-176; Amna Manzoor, 01-133192-167; Rehan Zaheer, 01-133192-114 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Medical imaging data in today’s healthcare information systems is an essential part of diagnostics. Securing medical imaging data plays a critical role in the current time but today it is a complex task of maintaining data ...
  • Smart Glasses For Visually Impaired People 
    Osama Khan, 01-133192-107; Abdul Moiz, 01-133192-003; Mohsin IIyas Abbasi, 01-133192-059 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    The objective of this postulation project is to foster shrewd glasses that are explicitly made to assist with people who are visually impaired by perceiving items and offering hear-able guidance. Current innovations, for ...
  • Stepper Motor Power Electronics Based Test Bench Drive 
    Zainab Batool, 01-133192-139; Hanif Ullah, 01-133192-170; Samrah Khan, 01-133192-121 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    This research project focuses on developing a power electronics-based test bench drive for stepper motors to improve their working efficiency, reliability, and accuracy. The project aims to achieve better output from the ...
  • FPGA Implemention of Time Efcient Deinterleaving Algorithm 
    Muhammad Sabhee Khan, 01-133192-090; Shabbar Hussain, 01-133192-124; Muhammad Ali Hassan, 01-133192-065 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    In this work, a new deinterleaving algorithm that can be used as a part of an ESM system and its implementation by using an FPGA is studied. The function of the implemented algorithm is interpreting the complex electromagnetic ...
  • Digital Twin 
    Muhammad Bilal, 01-133192-069; Muhammad Shamim, 01-133192-094; Muhammad Farhan, 01-133192-077 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    A digital twin is a virtual representation of a physical object or system used for simulation, analysis, and monitoring. It uses data from sensors and other sources to create a digital model of the object or system, allowing ...
  • Stock Market Prediction Using Machine Learning 
    Raja Abdul Wahab Zamir, 01-133192-109; Hassan Abbas, 01-133192-040; Talha Ahmed, 01-133192-132 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Predicting stock prices accurately is very important in ever-changing political and economic situations in order to minimize risks and maximize returns.Due to the high rate of returns, liquidity, and dividends investors ...
  • Design and Implementation of RISC-V Processor with ML Accelerator 
    Faizan Ahmad, 01-133192-030; Sawera Aslam, 01-133192-123; Hamna Shakil, 01-133192-037 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    We are currently witnessing the dawn of a new industrial revolution, characterized by the rapidly changing industrial landscape. In this revolution, RISC-V has emerged as a widely used term to describe the development of ...
  • Classification Of Surface EMG Signals Through Machine Learning 
    Aitzaz Saleem, 01-133192-062; Hassan Abbas, 01-133192-041 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    The Classification Of Surface EMG Signals Through Machine Learning project aims to develop an accurate and efficient system for the classification of surface electromyography (EMG) signals to validate the treatment of ...
  • Quantum Entanglement Emulator on 2 Qubit Quantum System on FPGA 
    Ayesha Anwar, 01-133192-026; Hannia Maqsood, 01-133192-039; Kamran Shahid, 01-133192-051 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    In this technological era, Moore’s law is now considered as a bottle's neck in the growth trends of digital electronic due to tunneling at the sub-atomic level. Quantum computers are considered as a solution to this ...

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