2022

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https://escholar.umt.edu.pk/handle/123456789/8088

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Now showing 1 - 20 of 54

Online Garage System
(UMT, Lahore, 2022) Sameer Sohail, Zain Farrukh and Zain Ul Abidin
OGS(Online Garage System) is a ReactNative based project. The app is available for both Android and iOS. It allows both the client or the normal user and the mechanic or the garage owner to interact on a single platform. The garage owner can register themselves and add the details of their workshops/garage. They can list down all the services they offer or the products they have to sale along with their location. The client, on the other hand,can view all the nearby garages and book services they have to offer or buy products that they’re selling. The application also allows the functionality of making payment directly for the booked services or ordered products via easypaisa.
Child Monitoring System
(UMT, Lahore, 2022) Mohsin, BinishAlamgir and Muhammad Sulman
Currently over a thousands of cases reports daily about children disappearance or child abuse. Children gets involved in unnecessary activities that leads them to a bad disaster. Our vision can provide ability to protect them from any harm. Many parents are worried while working due to their children but we can vanish all of their worries. In Pakistan, there are some applications in market but they are not giving all of the facilities that we are providing for child security. We will provide a better platform that can be useful and that can be easily accessible. This is a basic need of our society now. We need to protect our children at any cost. Now it is possible for everyone. Parents just need to install the application in their children phones or tablet whatever electronic device they are using and that would be a calculator based application that cannot be easily detected. Parents can easily access the application by just logging in to their account using website and then they can see all of the data that is stored in the database
Real time accident risk prediction
(UMT, Lahore, 2022) Muhamad Taha, Esha Munir and Mubarra Azam
In order to proactively increase traffic safety and lessen potential disruptions for road users, crash incidence prediction has been of critical importance. The objective is to use a machine learning algorithm to forecast risk in order to prevent future unmanageable situations and to develop a real-time crash prediction model that will potentially be employed within traffic management system in order to reduce road risks. Real-time risk forecasts have a wide range of possible uses because they assist drivers make better decisions early in the process and prevent catastrophic accidents and casualties. The basic prerequisite for developing such a system is to have a reliable crash prediction model that takes real-time traffic data as input and evaluates their association with crash risk based on different factors i.e. Lightning Condition, Weather Condition such as Dry, Rainy, Snowy and Foggy, No. of Lanes and Vehicles, Distance from Nearest Object, Time such as Day & Night. We have used a public dataset containing 3000 videos out of which 1500 are considered as crash videos and the rest are considered as normal videos. Yolo v3 is used for vehicle detection and enable us to get first feature by counting number of vehicles in each frame (by using python). The distance to the nearest object is further obtained by drawing bounding box with the help of which height and width is calculated. Furthermore, the distance of vehicles is calculated using the formula to find out the nearest distance vehicle. We will further make features by detecting weather condition and time from image. Predicted value will be either discrete or continuous. It will extract features from data using computer vision models and then these features will be further used to train and test our machine learning model. We have uused following Models to test the dataset; Decision Tree, Random Forest, Logistic Regression, Naive Bayes, Random forest, Resnet-50, Vgg-16, Vgg-19. SVM(sigmoid), SVM(RBF), Naïve Bayes, Random Forest, KNN , Reset-50, Vgg-16 and Vgg-19 give accuracy of 55%, 78%, 53%, 83%, 80%, 51%, 50%, 50% respectively. Random Forest has higher accuracy than others. The model can detect risk rate at an accuracy level of 83%. The project and working on it can solve the problem but not in all cases, it needs modification and much more efficiency. Expected results are still not obtained by testing on ML models. This model is proposed for saving human life loss so it must be checked by using other techniques until any model gives fully satisfied results
Protein Classification
(UMT, Lahore, 2022) Asad Aziz Khan
There has been a lot of significance of proteins and peptides in the world of medical science recently. Ranging for curing terminal diseases to simply having a healthy lifestyle. The main task or challenge at hand when handling proteins or peptides sequences is to classify them in the right category. There are various types of encoding schemes for protein and peptide sequences that need to be depicted in order to understand the true nature of the sequence. A lot of mathematic formulas can help us extract different types of feature descriptions. Anticancer peptides (ACPs) have proved to be promising in recent years to tackle cancer cells inside the human body, with little to no adverse effects like the chemical drugs on the normal cells. These types of peptides can be identified promptly through an in silico approach [1]. This approach will save a lot of time and money for the classification of peptides compared to an in-vivo [2] approach. In this research we will be conducting an ensemble approach to identify these peptides using different sequential features and physiochemical properties. The dataset is collected from the iDACP website [3].
TMHS Web-Services
(UMT, Lahore, 2022) Tahir Abbas and Laraib Jamal
Our project is developing under client requirements, here are some actors involved, students can register complaints, online fee payments, our application will help them to view reports anywhere anytime. Application will assist teachers to mark student’s attendance, create reports and view student details. School coordinator will assign teachers to classes, upload material for students (timetable, datasheets), it will help to create users accounts in system. There are many real-life solutions in our system which are discussed in later chapters of documents. No need to visit office, visitors can apply for admission online through website, and for further assistance we are providing live chat for users as well. In COVID our client faced difficulties to engage students with school, we are providing resource bank for both staff and students to download helping materials to stay updated.
Kaam Asan App
(UMT, Lahore, 2022) Noman Ali, Mariam Ali and Hamza Jameel
As we all know, individuals are having difficulty maintaining their domestic hardware and electrical equipment owing to a lack of time. As a result, we are presenting a worthwhile proposal in the form of an App that will address these issues on an online medium. Through the Kam Asaan App, people can effortlessly handle their hardware and electronics equipment problems without regard to time constraints. They only need to sign up for the app and provide their legitimate information to profit from it. Based on their reviews, they may quickly identify hardware or electronics workers in their local communities. They only need to bid on a worker based on their ratings that will organize or handle to address their hardware or electronics issues. This project aimed to develop a system that would help to provide facilities for hardware and electronic gadgets through online services
MEDOC.PK
(UMT, Lahore, 2022) Muhammad Usman Ali, Ahsan Hameed and Huma Arshad
MEDOC.PK is a web and mobile based application. It is introduced to provide the health and care services to the people and it will help people to get health related services at their homes. We will create Android app and Website to entertain our Customers. Through them we will provide mainly two services to customers first we will contact pharmacies nationwide and provide medicines and other products to our customers. Second we will provide the online as well as physical appointments of doctors from all over the Pakistan through our application and website. The Customers can easily book appointments with doctors of their choice by seeing the reviews without leaving their home. Though this application we will came to know that how we manage to run an application with many Customers or load in it and how we can manage to secure all data of the Customers. And secure online payments is also a feature of this application so we have to make it more secure. Our main objective is to facilitate people who do not have time or cannot go outside. They can easily order medicines and book appointments to know more about their disease and health after talking to the doctor. The people will get both doctor and medicine at one place without switching the platform. Now a day’s people also complain that they don’t get all required medicines from one pharmacy and they have to go in multiple pharmacies so through Medoc they don’t have to go towards multiple pharmacies they can easily order them and pay through COD.
Rewardy
(UMT, Lahore, 2022) Salman Ibrahim
Rewardy is a multiple-choice quiz-based mobile game based on earn to learn concept to keep the players encouraged to play while they earn. This game features multiple modes of earning to keep users from getting bored and eventually losing interest in the game quickly, there are four different playing modes in the game including Single player quizzes, Timed contests, Battle Mode, and practice zone to take a mock quiz of any category. Other than playing users can also earn daily random rewards. While users can earn to play, there are some limits imposed on this game that stop a user from earning more than a limited amount daily, but keep playing if they want. The major goal of this game is to encourage a healthy environment in the usage of mobile applications by making apps limited on rewards keeping the choice of over-screening entirely on users will. If they want to continue playing without rewards, it is all up to them.
Virtual Try Room
(UMT, Lahore, 2022) Sumran Ali, Abdul Hannan, Muhammad Hamza and Syed Shahroz Abbas Shah
During the time of Covid-19 whole world was in great crisis and many businesses were shut down but after some time few restrictions were lifted with sop’s being followed. Hence the try rooms of the clothing brands were closed and the customers were forced to buy clothes without trying and experiencing the feeling of new cloth before buying. This need of time brought the idea of Virtual Try Room to ease the problems of the customers of this sector. This application scans the body of a person and after creating a 3D mesh, it applies the article on to the customer’s body and displays it. The algorithm used is an open source and the application is developed using React Native Framework.
Safe Chat
(UMT, Lahore, 2022) SALMAN ALI, SHUMAIM HAIDER and ZEESHAN ALI
Dorm Finder
(UMT, Lahore, 2022) Muhammad Hassan, Muhammad Usman and Hamza Ashfaq
In today’s world technology is changing day by day making a new revolution and new challenges with that time. With that time span students are increasing day by day and they travel from one city to another for higher studies. They need a dorm to live near their universities, schools, colleges etc. In order to eliminate inconvenience for students we develop a website where they can easily find dorm according to their need. To find a Dorm by manual way is too long process, since it involves physical distance and time depletion. In this system, we can easily manage every facility like Dorm details, room details, student records, mess expenditure, easy way of room allocation nearby to the destination. The main feature of this project is to find dorm without travelling physical distance and also easy to for Dorm owner to find customer.
Facify App
(UMT, Lahore, 2022) Bilal Nasir, Muhammad Abdullah Kamran and Muhammad Aqib Saleem
The main motivation behind this project is that how will Artificial Intelligence be able to detect the human facial emotion? As the world we live in today, each and everything is slowly moving towards the Artificial Intelligence Day by day. We are being motivated by computer vision and deep learning techniques which we used in such a manner that at the end our project we will be able to build an application which can detect the human emotion, age and gender quite accurately. This project allows an individual to check his emotion, age and gender quite precisely. Computer vision is used as a frontend technique. The project is based on several datasets which we trained using deep learning techniques. We made an application which can accurately identifies a human facial emotion, age and its gender. We trained our models using deep learning and using algorithms that at the end it identifies everything accurately. Such emotion detection algorithms can be used to identify the person mood and suggests different videos to watch or music to listen. Age can be used as a firewall
RENTMYCAR
(UMT, Lahore, 2022) Sheraz Ansar, Farooq Nazeer, Mohsin Ali and Umer Farooq
All countries, individuals, and businesses struggle with three major challenges: high gas prices, traffic congestion, and inadequate public transportation. Although there has always been a traditional approach to tackle these problems by improving public transportation and using greener energy, these can only be done on a government-scale and large business scale and require a huge amount of investment of time, research, and money. An alternative and effective solution will be to promote ridesharing in order to reduce the number of vehicles. By using Vehicle Sharing Systems, travelers with similar travel schedules and itineraries can coordinate. As a result, the number of cars on the road can be reduced, and the available seat capacity can be utilized more efficiently. In order to build a sustainable ride-sharing system, however, an easy yet effective technology is needed to match drivers and riders. During the development of technology that supports Vehicle Sharing, we present dynamic Vehicle Sharing and describe the challenges associated with optimization.
PortFlix
(UMT, Lahore, 2022) Abdul Hanan, Maria Anwar and Arwa Abdullah
Professional profiles are important for professionals to showcase the knack of one’s in his area. For this purpose CV’s have been used but in the era of technology CVs cannot fulfil those requirements that are necessary to make the official profile containing more information in an interactive manner. So, along with CVs, there are many digital platforms which offer the portfolio creation to take the profile creation concept digitally to the next level in terms of providing more features like adding User Interface (UI) graphics which make portfolio more interactive, Adding the career journey videos, customer feedback and many more. All the digital portfolio platforms which came under observation leave a drawback that they allow customers to customize their portfolio template (i.e to add all sections of templates) which is quite reasonably difficult for non-technical users and in this fast moving world it is a massive time-consuming process. After such a tedious process, users also have to pay for making their own template. So this is the main loophole that we are going to fill up in our project. On the other hand we are not only facilitating our users but also many different companies by coming up with API’s so that they could utilize real time updated data regarding our users in order to search for the professionals who could meet their job position criteria
My Town
(UMT, Lahore, 2022) Ameer Hamza, Talha Naveed and Nimra Aslam
My Town is a smartphone application that may offer users, administrators, and police online services related to municipal offices. Users of this mobile app can file complaints. Applicants may also submit applications for certifications and new water supply connections. Java and Firebase have been utilized by us for putting this application together.
Easy to go
(UMT, Lahore, 2022) Syed Omer Jamil, Hamza Bin Tariq, Muhammad Hamza Ijaz and Muhammad Abubakar Khan
In this project we will provide a platform where Agencies can add their Trips via interface provided by our platform and consumers can Book a Trip. The main purpose is to give people a platform which provides them to book tours online rather than getting in lines and book rooms, buses and flights. The customer will select the destination and afterwards the Trips will be shown (depending on the location). When you click on the marker the information will be showed of the Trip. Admin can send notification to users for marketing purposes. This project is totally based on finding tours.
HK Clothing Ecommerce Store
(UMT, Lahore, 2022) Hassan Shahid and Nabeel Yousaf
Our Ecommerce store is a Dynamic web-based online Clothing store . It is a user-friendly Website. Our website is based two part which are admin portal and Front-end (E-commerce). HK Clothing can sell its clothing Products using this platform and Store Manager can manage different things like Manage Product , Adjust Prices and Offering Discounts through this application. The important features in our project is Admin can disable all the post just on one-click. Even admin can set the grid of images and resolution. It is a responsive website which can adjust on every screen like 1920px, 1170px, 788 px, 366px etc. It also have a feature of Placing order. Customer will add items to the cart which he wants to buy. Customer can add same items to cart if it is available on stock otherwise it will show out of stock. We can deal cash on Delivery. The most interesting feature is customer can also track the order through our website. Admin can add any detail through admin portal. We can catogerize our product based on different parameters of product. On other side Customer can view the all products on home page and shop page. User can Contact us through our contact Form.
E- Doctor or Pharmacy
(UMT, Lahore, 2022) Muhammad Haseeb Ali, M Hamza Ashfaq, M Shoaib and Athar Ali
E- Doctor or Pharmacy is a platform which guides people about medicines and provides them a facility to buy medicines online. Customers can place orders of medicines which are important for their health. This application provides the facility to add medicines in cart, show bills, orders history checkout to buy medicines. We have developed web portal for admin and pharmacist. Pharmacist can maintain all medicine records, he can see orders arrived, process them which result in making new sales for specific order, pharmacist can view sales report against single searched medicine. And admin on web panel can manage pharmacist. Admin can view sales report against single searched medicine for weekly, monthly and specific date.
Crime Management System
(UMT, Lahore, 2022) Faizan Basharat
The system is to apply in any Police stations all over the country and help them to manage the criminal record and data. As we all know Crime Anticipation, investigation, and judgment of criminals depend on the information, evidence, and record. The competence of the police to operate and the effectiveness with which they handle crimes and solve the case all depend on the information. It’s depended on how they access the information, organized the information, and how fast they access the information. The project over here proposes a crime management system that will keep the trail of the investigation status of the crimes and the cases. The purpose of the system is to help the Police, FIA, and agencies manage their record of the criminal and keep the trails of multiple cases. This project will keep the track of the cases and criminals involved in that cases. As we all know that crimes are unpredictable events nobody knows and predicts where, when, and how they will happen. It can happen any place, anywhere, and with anybody. It depends on human behavior and motive. What he wants and what benefits him. It helps the officers to easily update the case, suspect’s information, and Case inquiry. It helps the originator to keep the track of the case and check the updates of the case on daily bases. The software will be very useful for government agencies.
World Wide Tour Planner
(UMT, Lahore, 2022) Ameer Hamza, Laiba Fatima, Eesha Kamran and Mohsin Altaf
The “WORLD WIDE TOUR PLANNER" project is utilized to automate all travel and tourism-related processes, including creation, booking, and confirmation, as well as user information. The project's front end is HTML-PHP, and its back end is Microsoft SQL Server, therefore it is compatible with all browsers. HTML and PHP were employed in the coding language. A single dynamic website that allows users to schedule tours from anywhere in the world uses a travel and tourism management system to provide information on the locations and trip specifics. By creating a tour page, the administrator can add packages from particular travel agencies to the website.

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