Computer Science: Recent submissions

  • 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 ...
  • An affective classifi cation approach for detecting emotions evoked in static food images 
    Yusra Tahir (SEECS, National University of Sciences and Technology, Islamabad, 2017)
    To make machine emotionally intelligent and to have a ective decision making, emotion is one of the basic human attribute which is used in a ective classi cation . In this research work food images are used to evoke ...
  • 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 ...
  • Escape the Dungeon 
    Nibras Ali, Mersab Ali Haseeb Khizar (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Gaming is the most important form of entertainment. It is what keeps you moving through the hectic and stressful daily activities’. VR gaming is revolutionizing the gaming industry. Hand tracking with VR is the next best ...
  • Aliud Internet Solution 
    Sayyed Shozib Abbas, Raja Sajjad Mehmood Fizza Shafiq (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    is an integral part of everyday life of people. The access of it is just as important. It is the greatest source of information transference. Due to this level of importance the infrastructure of internet has seen a lot ...
  • Autonomous system for 3D mapping of indoor environments 
    Hamza Mahmood, Muhammad Sohaib Tariq Hashir Salam Awan (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    This document describes the software and hardware specifications for the project titled ‘Autonomous 3D mapping of indoor environments’. This project aims to create a software and hardware platform that will be able to ...
  • “RE-MOVE” Reinstating Movement in hemi paretic limbs using neural activity induced FES 
    Abrar Hassan, Ambreen Mushahid Ali Ayub Khan (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    Paralytic strokes are considered as fifth leading cause of death in the world. There are more than eighty million people in the world who are paralyzed and forced to live their lives miserably. In more than seventy percent ...
  • 3D-FREDI 
    Bilal Musani, Shaheer Hashim Umair Khan (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    3D face reconstruction has been a challenging task for the last two decades in the field Computer Vision. Standard approach to 3D facial reconstruction relies on the availability of multiple facial images, but this ...
  • Battery’ Doctor Real time Battery’s State of Health Monitoring 
    Omar Ikram, Furqan Aziz Asad Hasan (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Lead-Acid batteries have become an integral part of our daily lives. Every household use battery in one way or another, mostly in cars to start the engine or in UPS nowadays. In order to monitor the health of a battery, ...
  • ForiTaleem 
    Dua E Zahra, Syed Muhammad Umer Zeeshan, Danyal Sajid Huzaifa Tahir (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    The project is a mobile based application system that will serve as an online supplementary education and e-learning solution for students of primary, secondary, higher secondary and undergraduate levels. The idea is to ...
  • Devising Information Security Solutions using Techniques from Computer Vision 
    Maheen Jamil, Syed Ajwad-Ud-Din Nabeel Hussain Syed (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    This project borrows techniques from computer vision to build new information security tools and primitives. The issues of website attacks like DOS attacks have been common in the past decades. To cater this issue CAPTCHAs ...

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