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Final Year Project Report (BUES): Recent submissions

  • Performance Enhancement Of Automatic Modulation Classification Using Deep Learning 
    Muhammad Awais, 01-133192-147; Mahad Tariq, 01-133192-054; Ehtisham Jafar, 01-133192-029 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Machine learning has been transformed by deep learning, a potent branch of artificial intelligence. Because of its capacity for processing and learning from big volumes of data, it has grown in popularity. Deep learning ...
  • Programmable AC/DC Power Supply 
    Talha Abid, 01-133192-131; Qasim Ali, 01-133192-163; Syed Ashir Ali, 01-133192-127 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Every electrical and electronic appliance is designed to work perfectly at a certain input voltage. In Pakistan, household electrical and electronic appliances are designed to work properly at 220VAC, 50Hz and most of the ...
  • Unmanned Aerial Vehicles Swarm UAVs 
    Muhammad Sheharyar Khan, 01-133192-095; Talha Bin Tahir Butt, 01-133192-133; Usman Ali, 01-133192-165 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    An unmanned aerial vehicle(UAV), commonly known as a drone, is an aircraft without any human pilot, crew, or passengers on board. UAVs are a component of an aircraft system, which includes adding a ground-based controller ...
  • EE Managerial App 
    Shayan Arshad, 01-133192-125; M.Shahzad, 01-133192-161; Akbar Niazi, 01-133192-157 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    This Application EE Managerial APP is capable of sending immediate notifications and announcements from the department to students, Faculty, the ASA office or the HOD office where needed. This will be very helpful and play ...
  • Multi Input Multi Output Dc To Dc Converter 
    Syed Ibne Ali Abbas, 01-133192-129; Mubeen Hassan Riaz, 01-133192-145; Arslan Malik, 01-133192-020 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    It is widely used because of its fundamental role in power age, energy capacity, vehicle, foothold, security, aircraft, utility frameworks, flexible electronic gadgets, frameworks reconciliation, and energy productivity ...
  • IOT Covid Bot 
    Husnain Shafqat, 01-133182-035; Nabeel khan, 01-133182-071; Waqar Ahmad, 01-133182-131 (Electrical Engineering, Bahria University Engineering School Islamabad, 2019)
    By following to human social distance norms, transmission of COVID-19 may be avoided. It is possible to identify pairs of individuals who are not preserving a social distance limit of roughly six feet between them by using ...
  • 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 ...
  • Human Identification Using Gait Recognition 
    Muhammad Huzaifa Hassan Khan, 01-132192-043; Muhammad Hassan Khalid, 01-132192-022 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Gait recognition is a way used to recognize individuals based on their walking style. Unlike other identification techniques, gait recognition can be performed from a distance using video footage without requiring the ...
  • Deep Learning-Based Interpreter For Sign Language 
    Muhammad Osama Tahir, 01-132192-026; Maria Akhtar, 01-132192-016 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Organizational effectiveness is the dearth need in this hyper-competitive era. Survival and competitiveness depend upon effective communication. Communication is acquiring the desired feedback through the meaningful and ...
  • Clean Water Generator Using Humidity And Electrolysis 
    Saif Ullah Kamil, 01-132182-027; Muhammad Noman Khan, 01-132192-025; Muhammad Luqman, 01-132192-051 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Water is one of the most important resources while access to clean drinkable water has become a global challenge. The goal of this final-year project is to develop a novel design of an atmospheric water generator that ...
  • Vehicle Classification Software Solution for Commonality and ISO Standards 
    Khurram Idrees, 01-132192-015; Muhammad Danial, 01-132192-020; Muhammad Tariq Butt, 01-132192-028 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Cars are an essential part of modern life, providing people with a convenient and efficient means of transportation. Cars have also had a significant impact on society, contributing to the growth of the automotive industry ...
  • Investigating Mental Workload Through EEG Patterns 
    Abbas Khan, 01-132192-002; Ali Sohail, 01-132192-017 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Workload, or the amount of cognitive processing required to complete a task, has a big impact on productivity, security, and general well-being. A method for detecting mental workload uses electroencephalography (EEG) ...
  • Automated Fruit Grading And Sorting System 
    Kashif Chiragh, 01-132192-013; M.Abdul Rafey, 01-132192-018; Ch Zubair Imran, 01-132192-040 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    The agricultural sector of any country represents its economic growth. In the current era efficient, effective and fast detection of fruits grading and sorting is a concern which affects its market and also alters the ...
  • Vehicle Detection, Speed Monitoring And Classification From Video Stream 
    Hoor Ul Ain Tahir, 01-132162-031; Abdullah Waqar, 01-132162-001 (Computer Engineering, Bahria University Engineering School Islamabad, 2020)
    Detection of vehicles and its license number plates is an important part in real-time applications. Many of the approaches initially detect a vehicle and number plate, after that recognize the characters by using only an ...

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