Mar 2017 - Jun 2018
An android based application to assist blind people in emotion detection using Machine Learning algorithms and Computer Vision
Aug 2016 - Dec 2016
Worked on Fake Review Detection system using Machine Learning algorithms
Jan 2017 - Jun 2017
Analysis and report generation on superstore sales data using BI tool and AWS
Jan 2017 - Jun 2017
Web Application that provides extra map facilities for travelers using Google Maps API.
January 2015 - June 2015
Web application
August 2017 to August 2019
VistaJet is a large-scale application operated worldwide. My main responsibility was to work with ageographically diverse team of software engineers, to deliver software that addresses business needs from our customers, using technologies like Java Spring (Hibernate), Oracle, Redis and Weblogic Server
June 2017 to August 2017
My main responsibility was to develop an application for a non-profit organization, in order to cater for medical emergencies timely and efficiently. The technology stack included Java Spring (Hibernate), MySQL, Redis and Weblogic Server.
Jun 2017 - Jul 2017
Revamped www.khi.nu.edu.pk for FAST-NUCES as a member of The Web Masters Society (2017)
Jun 2015 to Jun 2016
Developed Coder’s cup website as a member of ACM at FAST-NUCES (2015 and 2016)
What have I published
Zulfiqar A. Memon, Hammad Mubarak, Aamir Khimani, Mahzain Malik, Saman Karim
Presented at 2018 Computing Conference in London, United Kingdom.
Intelligent Computing, pp 615-623
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 858)
Jan 1, 2019
This paper describes about an android application named “EyeHope” whose sole purpose is to reduce the dependency level of the blind and visually impaired people. This application would help them decrease the communication gap by allowing them to perceive and identify the expressions of the person they are communicating with, whether the person is speaking or just listening to them. This would be an android based application. This paper also states about the real time system communication with blind and visually impaired people using frames captured by mobile camera which would then be processed. Processing includes face detection and emotion detection using openCV. The output would be the emotion of the person whose image had been processed. This output would be converted from text to speech so that the blind person could listen to it through earphones connected to his/her phones. Its implementation and future enhancements will definitely going to improve the life style of blind or visually impaired people by allowing them to effectively communicate with people around them.
View Online View Pre-published VersionSummary of what I have achieved so far
Awarded by the National University of Computer and Emerging Sciences
Value: 186000.00 PKR
Provincial level Merit-cum-Need based Scholarship granted at the National University of Computer and Emerging Sciences.
Institutional Award by the National University of Computer and Emerging Sciences on securing SGPA 3.50 or more in a semester.
Institutional award at IBA Probattle, an event organized by the Institute of Business Administration.
ACM ICPC is speed programming competition for Computer Science students held at local, regional, and International levels.
Institutional Award by the National University of Computer and Emerging Sciences on securing SGPA 3.50 or more in a semester.
Institutional Award by the National University of Computer and Emerging Sciences on securing SGPA 3.50 or more in a semester.
Institutional Award by the National University of Computer and Emerging Sciences on securing SGPA 3.50 or more in a semester.
Institutional Award by the National University of Computer and Emerging Sciences on securing SGPA 3.50 or more in a semester.
The Best subject result in English in Sindh and Balochistan in HSSC – I examinations Awarded by the Aga Khan University Examination Board at National Level.
My research project “Generating electricity from body heat” qualified for the Provincial Science Fair by Intel.
Awarded due to outstanding academic performance (82% marks) in the SSC-Part I Examinations by the Aga Khan University Examination Board.
Awarded due to outstanding academic performance (85% marks) in the academic year by Sultan Mohammad Shah Aga Khan School.
Awarded due to outstanding academic performance (87.8% marks) in the academic year by Sultan Mohammad Shah Aga Khan School.
Awarded due to outstanding academic performance (85.78% marks) in the academic year by Sultan Mohammad Shah Aga Khan School.
Awarded due to outstanding academic performance (87.7% marks) in the academic year by Sultan Mohammad Shah Aga Khan School.
Awarded due to outstanding academic performance (90.17% marks) in the academic year by Sultan Mohammad Shah Aga Khan School.
Awarded due to outstanding academic performance (95.97% marks) in the academic year by Sultan Mohammad Shah Aga Khan School.