BS-CS (BUKC)http://hdl.handle.net/123456789/982026-04-04T12:05:06Z2026-04-04T12:05:06ZBEHAVIOUR ANALYSIS USING GAMIFICATION TECHNIQUEAhmed, Marzooq Reg # 54153Khan, Hafiz M Zunain Reg # 54135Qadri, Abdullah Reg # 54196http://hdl.handle.net/123456789/167752023-12-13T05:00:10Z2022-01-01T00:00:00ZBEHAVIOUR ANALYSIS USING GAMIFICATION TECHNIQUE
Ahmed, Marzooq Reg # 54153; Khan, Hafiz M Zunain Reg # 54135; Qadri, Abdullah Reg # 54196
The objective of this project is to develop a series of games. These games are
specifically designed to analyse user’s abilities. Our game will focus on a few of
those abilities which includes reaction time, puzzle solving, memory recall, spatial
recall, and impulsive response. Games are played in many ways. There is a huge
audience for different types of games, but these types of analytic games are amongst
less played games even though they can be used for various analysis purposes. We
aim to improve mental stale of our users by making them play our game in a
competing manner. Our game series comprises of five games. The five games
include card and seek, colour match, memory cards, puzzle solver, and egg catcher.
The output our game generates is in form of score and time. The score defines your
correct choices, wrong choices, etc. The time defines how much time it lakes for you
to complete a specific stage or average time of completion. The aim of this game is
to collect data for analysis purposes and these games can be used in various tests to
collect user data for further analysis and decision making.
Supervised by Aniqa Naeem
2022-01-01T00:00:00ZGEO LOCATION BASED BUILDING DETECTION SYSTEMHamza Reg # 54129Tahir, Syed M Talal Reg # 54191Moid, Abdul Reg # 54054http://hdl.handle.net/123456789/167762023-12-13T05:01:56Z2022-01-01T00:00:00ZGEO LOCATION BASED BUILDING DETECTION SYSTEM
Hamza Reg # 54129; Tahir, Syed M Talal Reg # 54191; Moid, Abdul Reg # 54054
People nowadays enjoy traveling and exploring different
However, in order to satisfy this intense
historical or unique structures,
curiosity, they must complete many tasks, namely,
they must first search each building and then gather information so that they
whethei or not the building is the one they are looking for. And once they have found what
they desired to, the next possible question is how do they reach the destination an what will be
can determine
the shortest path? And they experience rigorous time consumption while completing all of
these tasks. This app will act as a platform for them, allowing them to solve all ofthe problems
mentioned above. The goal of this project is to provide building detection services using
machine learning algorithms, which means it will be able to detect the image of any building
and display data (some history and relevant information) as well as the path (via integration
with Google Maps API) ofthat building that a user wants to know about and travel to. It will
be an android-based application that uses machine learning to process large amounts of data in
order to attain improved accuracy. The simplicity ofthis application allows users to reach their
goals with just a few clicks, all that is necessary is an internet connection and the loaded
application. Our main goal in developing this application is to improve its accuracy and
efficiency, which will save users time because "satisfied customers contribute to a better
product.”
Supervised by Dr. Ghulam Muhammad
2022-01-01T00:00:00ZEFFICENT VEHICLE ROUTING MECHAISM FOR CQVIB-19 PATEINTSKhan, Saadullah 02-134181-002Noman, Hunain 02-134181-135Grami, Syed Shees 02-134181-074http://hdl.handle.net/123456789/167802023-12-13T05:09:09Z2022-01-01T00:00:00ZEFFICENT VEHICLE ROUTING MECHAISM FOR CQVIB-19 PATEINTS
Khan, Saadullah 02-134181-002; Noman, Hunain 02-134181-135; Grami, Syed Shees 02-134181-074
To deal with worsening COVID-19 situation, we have to increase the efficiency of
facilitating the patients so that they can remain safe. For this we have to develop a
mobile application build on react native platform that links patient and driver using
socket.io server. The app will help the patient locating the nearest vehicle and finding
efficient and shortest path to reach the nearest hospital. On the other end it will help
driver to locate shortest path to the patient. We may have an enroute testing facility available due to lack of testing capacities in hospital but our primary focus is to save
patients time in reaching hospital. To sign up a user will register himself by providing
first name, last name, email and password. These credential will be then saved in a
database. After registration he will move to login page where he will provide his email
and password, ifthe person is authentic and the credentials provided matched from the
database the user will directed to page where he can select to be a driver or a patient.
After selecting he will be directed towards home page. For patient home page has a
type the location and the app will determine the search bar at the top where he can
route on the google map API. The remaining part ofthe page is integrated with google
patient select the location a pop from the bottom of the page will
vehicle and expected time to reach to you. If click the
map. As soon as
appear showing nearest
'"REQUEST” button a request will be sent to the driver.
atient. The home page for driver consist of a google map where
Authentication has been used
for login as driver or p
he can see the location to pick the patient. The driver will receive patient'
. When the driver accepts the request, the patient will
s location as
patient send the request soon as
background location to watch the trip. Scope of
tion is to show that the vehicle scheduling problem for high-risk
receive the notification and driver s
this android j^)plicati
individual transfer in to
near hospital which is more difficult than most well-known
vehicle routing problems. We have used a socket.io server to connect driver and
patient in Leal time. For login signup, authentication and controlling routes we have
used rest API Express Backend and for database we have used mongodb. For maps
we have used google maps API
Supervised by Dr. Imran Memon
2022-01-01T00:00:00ZLARAVEL BASED MULTIVENDOR E-COMMERCE PLATFORM BY USING MEMBERSHIP CARD POINT & STUDENT DISCOUNT VOUCHERFatima, Zill e Reg # 54165Ahmed, Maira Reg # 54119Ali, Syeda Qurat ul Ain Reg # 54151http://hdl.handle.net/123456789/167782023-12-13T05:05:20Z2022-01-01T00:00:00ZLARAVEL BASED MULTIVENDOR E-COMMERCE PLATFORM BY USING MEMBERSHIP CARD POINT & STUDENT DISCOUNT VOUCHER
Fatima, Zill e Reg # 54165; Ahmed, Maira Reg # 54119; Ali, Syeda Qurat ul Ain Reg # 54151
Since, the emergence ofthis digital world online shopping becomes the fundamental necessity of
this era where vendor's desire is to sell their goods and services to the individuals who spend their
precious time online and customer also want many options of their desire product under one
platform for that multivendor platform is the best place. Basically, Multi-vendor is an extended
version of e-commerce platform that allows multiple merchants to sell their business around the
globe. They can market their product online so that many customers can reach them. Multi-vendor.
Merchants can register and they have their own panel or dashboard including all e-commerce
features so that they can easily manage their store. Similarly, this project is a web Application
where a user can get the products from different dofnains including fashion, electronics, gadgets,
books, and many more depending upon the taste of merchants running their business on this site.
The method is executed utilizing three methodologies, with a previous database connection, a
middle level Apache server and a web program as the front-end client. So as to create web-based
marketing application we use html tag, CSS tag, Bootstrap framework, OOP concepts, Laravel and
social database connection in My SQL
Supervised by Dr. Ghulam Muhammad
2022-01-01T00:00:00Z