Computer Science: Recent submissions

  • Automated Attendance (Face Recognition based Automated Attendance) 
    Anas Tehseen, Khizar Ijaz Faaiz Asim (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Existing attendance systems are entirely manual or semi-automatic. They are much time consuming and difficult to manage. So our aim was to build a system which is truly automated, marks attendance in no time and is ...
  • Road Damages detection using Deep learning 
    Nathu Mal, Assadullah Aftab Hussain (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    The statistics have shown that death number is more because of road accident then terrorism, Road damages are the major cause of these accidents, timely road inspection is important to carry out. However the high cost and ...
  • Agris: Agricultural Remote Image Sensing 
    Kamila Zaman, Noor ul Ain Gul e Fatima (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Project AGRIS is an exploration in the field of Remote Image Sensing (RIS) used for crop yield prediction for better economic planning, basically it aims at analyzing different algorithms suitable and hence, using the most ...
  • Machine Learning based Load Forecasting Tool for Smart Grid Enabling Technology 
    Ali Farooq, Mohsin Ammar Waqas Javed (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    With increase in population and an overall expansion of the energy infrastructure, electricity demand is increasing rapidly. Smart grids are used to manage this increasing demand effectively. Load forecasting is the basis ...
  • Grocery Delivery Mobile Application 
    Urooj Bakht Tahir, Hamna Asif (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    The project is a mobile based application system that will serve as a delivery service provider for everyday groceries and necessity goods. The idea is to deliver goods to customers from their local stores charging for the ...
  • Call Center Quality Control Using Speech Recognition 
    Muneeb Ur Rehman, Talal Ahmed Jamal Hassan Sargana (SEECS, National University of Sciences and Technology, Islamabad, 2018)
  • End to End Encryption of Video from IoT Devices 
    Syeda Maria Hussain (SEECS, National University of Sciences and Technology, Islamabad, 2016)
    The Internet of Things (IoT) is becoming a buzz word in the tech industry. One survey suggests that IoT is even bigger than Big Data, and one estimate pegs the number of IOT devices to grow from 5 billion in 2015 to 25 ...
  • Hyper-Spectral Image Segmentation and Verification 
    Mohammad Hassan uz Zaman (SEECS, National University of Sciences and Technology, Islamabad, 2017)
    Hyper-spectral imaging is a new and novel way of capturing images from invisible parts of the electromagnetic spectrum. In this project, I explored and researched ways to use this technology for image segmentation, image ...
  • Zauriel : HR Hiring Prototype for Automated Psychological Profiling 
    Danyyal Ahmed Khalid (SEECS, National University of Sciences and Technology, Islamabad, 2017)
    Psychology plays a very important role in our daily lives. With the extent of research into human behavior science, we’ve now come to realize that our actions and traits are linked to a largely encompassing human psychology. ...
  • Smart Portfolio Builder for Investors (MUSHEER) 
    Malik Salar Ahmad, Moazzam Farid Eeman Sarfraz (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    The product should be like in an ideal situation and what limitations we will face due to practical limitations. Developing a product that needs to be embedded into the lives of people and the aim is to provide them ...
  • Auto-Optimization of Business Rules Through Business Process Mining for Improved System Performance 
    Faqeer ur Rehman (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Data mining techniques exist that have the ability to extract useful knowledge from the available event logs. Over the years, there has been a tremendous enhancement in the IT sector. Organizations are moving towards ...
  • Hierarchical Softmax for Fine-Grained Classification 
    Mohammad Uzair, Fatima Hassan (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    Normally, we use Softmax after the last fully connected layer in a convolutional neural network to get the probability of the classes. With the number of increasing classes, the accuracy for classification decreases. ...
  • Acoustic Event Detection in Urban Environments 
    Muhammad Kamran Akbar, Rehan Nawaz, Farah Tahir Yousaf Khan (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    Acoustic Event Detection in Urban Environments is a software-based implementation that consists of sound detection, real-time acoustic analytics and deep learning algorithms to detect, classify and predict the environment. ...
  • Scene Analysis for the Visually Impaired (SAVI) 
    Mirza Muhammad Ali Baig, Muhammad Abdullah Wajahat Mian Ihtisham Shah (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Image captioning is a field within artificial intelligence that is progressing rapidly and it has a lot of potential when it comes to helping people who are visually impaired. It has been developing over the past few ...
  • Analyzing Text Content in a Video 
    Hamza Ali Zafar, Sadia Younis Muhammad Salman Ali (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Videos are dynamic in nature. They contain pictures as well as text with different dimensions and colors per frame. Videos contain valuable information in the form of text. The salient features of text in videos are the ...
  • Automatic telephonic assistant for information access 
    Muhammad Mudassir Javaid, Javairia Nawaz Aftab Akram (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Kisaan Helpline or Automatic telephonic assistant for information access is a system built on the principles of Artificial intelligence, Voice recognition, web crawling and SIP to fetch data on run time from the internet ...
  • My Medico 
    Abdul Qadir Hamza, Anum Hamid Tahir Aslam (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Being a third world country, Pakistan is faced with a lot of problems. One of them is the mismanagements of medical Incident. sometime ambulance doesn’t reach to the exact location of the victim, sometime people fail to ...
  • SigM8– In-air Handwritten Signature Verification System 
    Adeen Fasihi, Rajnesh Bhatia Usamah Abdur Rehman (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    The project is related to the field of online Signature Verification where instead of on paper or screens, input signature is taken in-air with movement of the arm with the help of a sensor-based device Myo-armband. Existing ...
  • Forensic Examination of handwritten scripts for writer identification 
    Fatimah Nawaz, Syed Jawwad Haider Hamdani (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Writer identification has always been a challenging task when it comes to defining a model that is robust to deliberate changes in handwriting styles. In our project, we introduced ‘WisNet’, a deep Convolutional Neural ...
  • Kisaan Madad: A User friendly Application for farmers 
    Aroosha Batool, Sadia Khalid (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    There are no technological advancements in agricultural sector of Pakistan which is contributing about 25% of GDP of Pakistan. About 61% of our population lives in rural areas where they face many issues including very low ...

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