BS: Recent submissions

  • 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 ...
  • Stock Market Analyzer & Predictor 
    Affan Muddassir, Hamza Jamshaid Majid Ali Khan (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    The stock market of Pakistan is a highly dynamic and volatile environment. A place where millions of shares trade hands every day, making shrewd and intelligent decisions can lead to enormous benefits which are extremely ...
  • Eatphant: Restaurants Table Reservation and Pre-Ordering 
    Adeel Sarwar, Yasir Khalil Muhammad Hasan Ilyas (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Eatphant proposes a solution to the different problems that everyone faces at the restaurants. Whenever people visit restaurants, they are in a constant hustle to find a suitable restaurant with quality food and then trying ...
  • Auto Train Animals through Augmented Reality (Augmented Reality For Animals) 
    Israr ulhaq, Syed Muhammad Dawoud Sheraz Ali Syed Salman Haider Kazmi (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Animals have the cognitive ability just like humans but there is no research on how that cognition actually works. There is not much of an evidence if the animals’ decision making follow the same pattern as of humans or ...
  • Helping Blocks 
    Ammad Malik, Muhammad Suchal Riaz, Usama Khalid Awais Waheed (SEECS, National University of Sciences and Technology, Islamabad, 2019)
  • Smart Heart Management 
    Furqan Butt, Hafiz Muhammad Fazeel Kamran Syed Raza Abbas (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    Our study focuses on identifying and exploring that what is the best possible machine learning technique that could be used to detect a heart attack as well as what biographical attributes contribute more towards a heart ...
  • GHAR SAJAO - A Smart Home Décor 
    Adil Rabbani, Naveed Ahmad Aroona Ayub (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Now a days shopping is the most popular activity all around the world. Buying a furniture is the most time taking and difficult task. In order to facilitate the customers by letting them picture the furniture in their rooms ...
  • Digital Quran (Verification of Quranic Verses through image processing ) 
    Rubina Batool, Muhammad Hussain Farooq Muhammad Hamza (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    We are planning to develop a system to facilitate a Verification of Quranic verses published via Social media, print media or any other media. For this we will provide the verification of Quranic Verses uploaded on social ...
  • ATECT 
    Shoaib Zafar, Ismail Tirmizi Umer Ahmed Cheema (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Object detection has been a very arduous task in the field of computer vision, artificial intelligence and machine learning for quite some time now. It has been an area of interest and study for many decades now. Object ...
  • Analysis of Vulnerabilities of Home Networks 
    Talha Javed Mukhtar, Muhammad Karshasup Khan (SEECS, National University of Sciences and Technology, Islamabad, 2016)
    The project aims to build a tool that makes it easy to uncover security weaknesses in home networks. Such a tool can be used by ISPs to provide a securing service to their customers or by owners of a home network to directly ...
  • Predictive Solutions for Healthcare using Data Analytics and Machine Learning 
    Saad Azhar, Syed Zain Ul Abideen Gillani Mohid Munir Khan (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    Healthcare Industry over the past has been running manually. The information and diagnosis has quite a margin of error. Hence, the decisions can be made precise and the analysis can be improved by the use of Machine Learning ...
  • Secure Analytics Using Blockchain 
    Adil Ahmad, Osama Nadeem Sarum Younas (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    Our project aimed to tackle the security challenges involved in online surveys and analytics. Surveys are used as a tool to study business and market trends, whereas analytics help deliver personalized content and ensure ...

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