Department of Computer Science (BUKC): Recent submissions

  • INDOOR OBJECT DETECTION AND RECOGNITION FOR VISUALLY IMPAIRED USERS 
    Farooq, Muhammad Reg # 41497; Ullah, Najeed Reg # 43868; Amir, Shaista Reg # 43836 (Bahria University Karachi Campus, 2019)
    A real-time object detection and recognition Application is made to assist VI people to move safely, in indoor surroundings, by using a mobile device. The Application changes the visual world into the sound world with ...
  • HEART SOUND CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK 
    Baseeruddin, Syed Reg # 43794; Waqar, Abdul Reg # 40980; Tajani, Akber Reg # 43772 (Bahria University Karachi Campus, 2019)
    Heart anomalies are many times detected using a stethoscope through a physician. Currently, there to document their heart sounds, are digital stethoscopes and cell gadgets that everybody can however, besides technical ...
  • HELP DESK & IT ASSET MANAGEMENT 
    Faisal, Muhammad Reg # 43865; Mehmood, Danial Reg # 43863; Fatima, Uroosa Reg # 43847 (Bahria University Karachi Campus, 2019)
    Businesses that supervise a huge number of physical objects require an computerized way to track, categorize, and oversee their resources, whether they're items, machines, for which the trade is capable. Losing track of ...
  • EMOTION/MOOD DETECTION ON TWITTER TWEETS BY USING SENTIMENT ANALYSIS 
    Sabir, Subika Reg # 43802; Haque, Syeda Rafeya Reg # 41357 (Bahria University Karachi Campus, 2019)
    The utilization ofmedia platform has grew bigger over the years obtained from social media alone. People express their sentiments have discussed how data and information of information is using social site twitter. In ...
  • MINIMIZING ELECTRICITY THEFT USING : INTERNET OF THINGS 
    Khalil, Syed Ibrahim Reg # 43711; Ahmad, Mehroz Reg # 43767 (Bahria University Karachi Campus, 2019)
    Electricity theft is one of the major, issues for a. country as well as a critical problem for electricity companies which faces huge amount of loss daily because of it. To is introduced, using : provide a solution to ...
  • SMART CLASSROOM ATTENDANCE SYSTEM USING FACE RECOGNITION 
    Siddiqui, Azhar Ali Reg # 43745; Basit, Hanzala Abdul Reg # 43808 (Bahria University Karachi Campus, 2019)
    The face is probably the most straightforward approaches to separate the individual character of one another. Face acknowledgment is an individual distinguishing proof framework that utilizations individual qualities of ...
  • EMERGENCY CLINIC MULTI-SENSOR MONITORING USING E-HEALTH PLATFORM 
    Abdullah, Raja Uzair Reg # 43897; Awais, Muhammad Reg # 43731; Hussain, Zahid Reg # 43806 (Bahria University Karachi Campus, 2019)
    Technology advancement and low-cost device development may address the challenges faced in most emergency clinics in developing countries. Surveillance and detection of disease very much dependant on the medical practitioners ...
  • eye gaze movement as remote 
    Tanveer, Muhammad Haziq Reg # 41336; Ahmed, Hamza Reg # 41613; Ahmed, Irfan Reg # 41291; Awan, Adeel Ahmed Reg # 41267; Nadeem, Sana Reg # 41351 (Bahria University Karachi Campus, 2019)
    Every year most of people are losing their body part because of different sort of accidents, due to which they get into disability and they can’t be able to perform different activities by themselves. Usually disable ...
  • SMART GARBAGE COLLECTION MECHANISM FOR A CLEAN CITY 
    Ayub, Raja Qamar Reg # 39284; Ahmed, Waqar Reg # 39323; Uddin, Syed Muqeet Reg # 39310 (Bahria University Karachi Campus, 2019)
    Owing to a paradigm shift toward Internet of Things (IoT), researches into IoT services have been conducted in a wide range of fields. As a major application field of IoT, waste management has become one such issue. ...
  • COMPARATIVE STUDY OF CLUSTERING TECHNIQUES TO ACHIEVE IMPROVED CAPACITY IN DENSE NETWORKS 
    Shakoor, Muhammad Hassan Reg # 41319; Khan, Mohsan Reg # 41304; Afzal, Muhammad Subhan Reg # 41331; Naseem, Talha Bin Reg # 41367 (Bahria University Karachi Campus, 2019)
    The objective ofthis project is to achieve improved capacity in dense networks. This report explores different techniques used for improving capacity in dense networks. We are using more than one Algorithm for comparing ...
  • A BANK CHEQUE SIGNATURE VERIFICATION SYSTEM 
    Anjum, Muhammad Owais Reg # 41326; Farkhi, Sbaat Reg # 41352; Khawaja, Faiza Habib Reg # 41284; Mudasar, Abdal Reg # 41263; Farid, Nayab Reg # 41344 (Bahria University Karachi Campus, 2019)
    The aim of our work is to provide an offline signature authentication system that help bankers to verify whether the signature performed by the customer is genuine or forger. The point that the sign is extensively used ...
  • IDENTIFICATION OF TOXIC TWEET 
    Rehman, Equan ur Reg # 41282; Riaz, Umer Bin Reg # 41333; Mehmood, Arsalan Reg # 41275; Khan, Shahmeer Reg # 41823 (Bahria University Karachi Campus, 2019)
    The objective ofthis project is to develop an algorithm that can be used to identify the hateful comment from the lot. This report spots out how identify these types oftweets and also what points toxic or we can ...
  • Brain Health Testing & Training with Interesting Games 
    Hussain, Maham Reg # 41297; Khan, Jawad Ali Reg # 41293; Hassan, Munib Reg # 41339; Ali, Mir Zohair Reg # 41301 (Bahria University Karachi Campus, 2019)
    The said idea of brain health testing & training with the help of games is an ever growing field thriving on research and development with each passing day. This idea was implemented by us in the With this a project was ...
  • IoT BASED DATA LOGGER SYSTEM FOR WEATHER MONITORING USING WIRELESS SENSOR NETWORKS 
    Shehzad, Faisal Reg # 41283; Khan, Danial Reg # 41262; Hussain, Muhammad Hamza Reg # 41317 (Bahria University Karachi Campus, 2019)
    The substantial business that has developed far and wide and the assorted variety of synthetic compounds alongside sullying coming about because of people's everyday life, discharged into the earth have raised genuine ...
  • REAL TIME SIGN LANGUAGE RECOGNITION SYSTEM USING NEURAL NETWORKS 
    Khan, Tooba Reg # 41369; Zehra, Aimen Reg # 41269; Khan, Shania Reg # 41354; Ramzan, Amna Reg # 41272; Usman, Mariam Reg # 41300 (Bahria University Karachi Campus, 2019)
    The mode of communication between two people is language. When talking about the deaf and dumb people they use sign language in which they make some sort of gestures to convey their messages but what ifthey are communicating ...
  • MUSIC RECOMMENDATION SYSTEM 
    Khan, Mubashir Ali; Saleem, Ramish; Rahman, Mahmood ur (Bahria University Karachi Campus, 2019)
    As the accessibility of numerous music music recommender became streaming services has been extended, the more and more relevant. Many oi these streaming services, such as Spotify, have their advances in own ...
  • E-HEALTH BAND: REMOTELY MONITORED HEALTH STATUS USING ANDROID APPLICATION 
    Nadim, Mahira Reg # 41298; Ali, Syed Basit Reg # 36610; Niazi, M Jalal Khan Reg # 41321; Rehman, Abdul Reg # 41262 (Bahria University Karachi Campus, 2019)
    Health monitoring refers to a continuous observation of patient’s condition (physiological and physical) traditionally performed by one or several body sensors. In fact, significant actions and decisions are based on ...
  • REAL-TIME AIR QUALITY MONITOR USING loT 
    Iqbal, Murtaza Muhammad Reg # 41340; Soomro, Shiza Aslam Reg # 41355; Rizvi, Syed Abbas Ali Reg #; Salman, Waqas Reg # 41377; Kainaat Reg # 41295 (2019)
    Millions ofpeople worldwide die prematurely as a consequence ofair pollution. Many of these deaths occur in large cities, where exhaust from cars, factories, and power plants fills the air with hazardous particles.Air ...
  • CV SORTER: A TEXT MINING BASED APPROACH TO SELECT A CV 
    Siddique, Aaqib Sultan Reg # 41261; Ghouri, Ahmed Ali Reg # 41268; Azeem, Muhammad Reg # 41314; Imam, Muhammad Anique Reg # 41302; Danish, Muhammad Reg # 41316 (Bahria University Karachi Campus, 2019)
    Human resource department of organizations receive infinite CVs on regular basis, making it more complex for the HR person to find the best job candidates. In fact, an employer receives an average of 144 CVs per job ...
  • X-RAY IMAGE ANALYZER 
    Akram, Saadia Reg # 41349; Rehman, Ovais ur Reg # 27183 (Bahria University Karachi Campus, 2019)
    The objective of this project is to develop x-ray image analyzer software for the classification of fracture in bones. This report explores different, techniques used in the classification of fracture. Different stages ...

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