Department of Computer Science (BUKC): Recent submissions

  • DESKTOP MONITORING SYSTEM 
    Bhatti, Arsalan Kabeer Reg # 45997; Shoukat, Kashif Reg # 45981; Arfeen, Najam ul Reg # 46022 (Bahria University Karachi Campus, 2020)
    Oursis a period ofregistering power where we have a large number offiguring gadgets present and building up each day. Worldwide associations, nearby bodies and individual clients are on the whole reliant on PCs fortheir ...
  • BRAIN COMPUTER INTERFACES (BCI) BASED SMART HOME CONTROL FOR DISABLED PERSONS USING IOTS 
    Hanif, Fariha Reg # 45941; Ahsan, Muhammad Reg # 45929 (Bahria University Karachi Campus, 2020)
    The development in Smart home automation is touching advancing to the upcoming in making the perfect smart homes environment. Alternatively, home computerization framework configuration additionally been created for ...
  • DECISION SUPPORT SYSTEM FOR FINDING TECHNICIAN ON THE BASIS OF MULTIPLE FACTORS 
    Hasan, Syed Ibad Reg # 48508; Anwar, Rabiha Reg # 48448; Khan, Muhammad Saad Reg # 48472 (Bahria University Karachi Campus, 2020)
    hrough several researches and surveys, we have found out that there is a growing need of service providers in Pakistan and people have suggested that an application should be developed to provide them with such facilities ...
  • CONTROL OF PROGRESSIVE ALLEVIATION OF POVERTY AND ILLITERACY IN PAKISTAN USING DATA MINING TECHNIQUES AT NADRA 
    Suleman, Maha Reg # 48529; Bano, Ramsha Reg # 48412; Jabeen, Shaista Reg # 48481 (Bahria University Karachi Campus, 2020)
    This report aims to look at the current status of poverty and existing social policies in Pakistan. Poverty is one of the concerns for the governments of almost all countries including Pakistan. There is a continuous ...
  • OCULAR DISEASE INTELLIGENT RECOGNITION (ODIR) 
    Talha, Muhammad Reg # 48457; Faraz, Muhammad Reg # 48536; Humayun, Safeer Reg # 48486 (Bahria University Karachi Campus, 2020)
    The purpose of this project is to promote the development of AI that is for medical purposes in the field of image analysis for retinal images. Furthermore, the purpose to make this FYP is to make the identification ...
  • BLURRY MEDICAL RECEIPTS AND REPORT RECOGNITION USING OCR 
    Hassan, Ali Hammad Reg # 48410; Abdullah, Muhammad Reg # 48409; Arsalan, Malik Reg # 48482 (Bahria University Karachi Campus, 2020)
    The internet has given a huge scope of advantages to society, and engaging individuals in a variety ofways. Because of inconceivable development of Internet use in recent many years, everyday a few new mobile applications ...
  • ANDROID MALWARE DETECTION USING META-INFORMATION 
    Raza, Muhammad Ali Reg # 48547; Amir, Muhammad Reg # 48498; Raheel, Hummam Reg # 48368 (Bahria University Karachi Campus, 2020)
    Since the android technology has provided us a vast range of benefits and because of staggering development of Internet utilization for almost 2 decades, everyday several new mobile applications are developed and ...
  • IOT BASED HOME AUTOMATION BY USING AI 
    Zaman, Syed Haider Reg # 48399; Mustafa, Danish Reg # 48489; Omer, Muhammad Reg # 48537 (Bahria University Karachi Campus, 2020)
    Automation deals with the management of electric/electronic devices with mobile/other application to provide easy to human for interacting these devices with ease . The principle of building an Automation is to achieve ...
  • ACTION RECOGNITION FOR DEPRESSION ASSESSMENT USING DEEP LEARNING 
    Munir, Arisha Reg # 48496; Saeed, Summaiya Reg # 48471; Arain, Aisha Reg # 48440 (Bahria University Karachi Campus, 2020)
    Depression is the most common mental health mood disorder worldwide, which affects functionality and well-being of individuals having significant effect on their personal, family and social life. The objective ofthis ...
  • YOGGUIDE: DETECTING, RECOGNIZING AND TRACKING YOGA POSES USING VISION TECHNIQUES 
    Khan, Azka Reg # 48435; Rehman, Muzna Reg # 48467 (2020)
    In computer vision, human pose estimation is a deep-rooted issue that in the past has revealed many challenges. In many fields such as security, video games, physical therapy, etc. analyzing human activities is beneficial. ...
  • COOPERATIVE HOUSING SOCIETY ERP 
    Rehan, Muhammad Reg # 41328; Kumar, Rahool Reg # 48439; Musaab, Muhammad Reg # 48459 (Bahria University Karachi Campus, 2020)
    The objective ofthis project is to develop ERP web based app of cooperative housing society. This system is developed to manage day-to-day activities of any co-operative housing society. Cooperative Housing Society ERP ...
  • DDOS ATTACK DETECTION BASED ON REDUCED FEATURE SET USING SUPERVISED LEARNING ALGORITHM 
    Khan, Abdullah Iqbal Reg # 48445; Hamza, Muhammad Reg # 48446; Zaheer, Faizan Reg # 48437 (Bahria University Karachi Campus, 2020)
  • SEGMENTATION OF RETINAL VEINS PATTERNS USING MORPHOLOGICAL OPERATORS 
    Khan, Mohib Ali Reg # 48512; Siddiqui, Muhammad Ahmed Reg # 50559 (Bahria University Karachi Campus, 2020)
    The purpose of this project is to develop an efficient system based on Artificial Intelligence that detects the distortion with human eye retinal vessels. This project will help doctors to identify the diseases by ...
  • BAHRIA UNIVERSITY FACULTY EXAM DUTY MANAGEMENT SYSTEM (WEB APPLICATION) 
    Batool, Hira Reg # 48534; Dildar, Saba Reg # 48516; Khalid, Zia Reg # 48449 (Bahria University Karachi Campus, 2020)
    Allocation of duties to different invigilators during examination is a problem and concern during examination. A good duty chart for invigilators ensures both faculty and the management ofthe institute is pleased with ...
  • EMR (ELECTRONIC MEDICAL RECORD) MANAGEMENT USING BLOCKCHAIN 
    Maaz, Syed Muhammad Reg # 48405; Hammad, Syed Reg # 48505; Tahir, Sohail Reg # 48503 (Bahria University Karachi Campus, 2020)
    This project works on principles of blockchain to implement a secure channel for medical records transaction of patients on a single portal which can be accessed by organization, doctors and patients to interact with the ...
  • TEXT CLASSIFICATION USING TF-IDF AND MACHINE LEARNING ALGORITMS 
    Khan, Faraz Ahmed Reg # 48474; Hussain, Zaeem Shakir Reg # 48438; Rehman, Abdul Reg # 48414 (Bahria University Karachi Campus, 2020)
    The reason for the creation ofthis system is the need for the classification ofthe newspaper articles. For the desired purpose we have collected many newspaper articles from many different newspapers. The article will ...
  • REAL TIME PATIENT SPECIFIC ECG CLASSIFICATION USING MACHINE LEARNING 
    Hussain, Azkar Reg # 48458; Ali, Aamir Reg # 48401; Rehan, Neha Reg # 48541 (Bahria University Karachi Campus, 2020)
    This project is based on Machine Learning on an ECG signal in real time. The ECG signal is passed through some defined procedures that allow removal of noise. This After data is then passed through a thresholding algorithm ...
  • BUMBLEE BEE PE ROBOT 
    Omer, Rumafah Reg # 48520; Ali, Syed Taimour Reg # 48551; Khan, Muhammad Waqas Reg # 48455 (Bahria University Karachi Campus, 2020)
    Robotics is an industry or a field that is emerging all over the globe. One ofthe most fascinating areas in robotics is humanoid robots. These robots are well sophisticated robots that perform tasks similar to humans ...
  • DECISION SUPPORT SYSTEM FOR FINDING TECHNICIAN ON THE BASIS OF MULTIPLE FACTORS 
    Hasan, Syed Ibad Reg # 48508; Anwar, Rabiha Reg # 48448; Khan, Muhammad Saad Reg # 48472 (Bahria University Karachi Campus, 2020)
    Through several researches and surveys, we have found out that there is a growing need of service providers in Pakistan and people have suggested thal an application should be developed to provide them with such facilities ...
  • DETECTION OF RESPIRATORY DISEASES USING AUDIO RECORDINGS 
    Tariq, Muhammad Saad Reg # 48507; Ilyas, Rana Zeeshan Reg # 48495; Ahmed, Syed Areeb Reg # 48480 (Bahria University Karachi Campus, 2020)
    The main goal of this work was to design a method for automatic detection of various respiratory diseases using audio recordings. Prior attempts at automated classification of adventitious respiratory sounds have tried ...

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