2024

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https://escholar.umt.edu.pk/handle/123456789/7502

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Abroad Advise
(UMT, Lahore, 2024) Nouman Shahid, Muhammad Mashauaf Mushtaq and Muhammad Asfar Ali
The Abroad Advise application is designed to streamline the complexities of the study abroad process for aspiring international students. It addresses the significant challenges students face when navigating visa applications, university selection, and scholarship opportunities. The platform integrates critical information and resources into a user-friendly interface, providing a centralized hub for students to manage their study abroad journey efficiently. Key features include visa application guidance, a comprehensive database of international educational programs, scholarship listings, and a supportive online community. By leveraging technology, Abroad Advise ensures that users have access to up-to-date information and personalized advice, helping them make informed decisions about their academic future. The project reflects a commitment to enhancing educational opportunities and fostering global understanding by simplifying access to international education resources. Through continuous improvement and user engagement, the platform aspires to become an indispensable tool for students pursuing education abroad, offering a holistic solution to the challenges of global education.
AI Based Self-Checkout System
(UMT, Lahore, 2024) HAMZA IQBAL, ZAEEM UL ISLAM, MOBEEN KHALID and MUHAMMAD MEHMOOD
This paper proposes to design and implement a system that automates the checkout process in retail stores using AI and computer vision. The system would be implemented in a modular attachable box the size of a standard checkout counter. This system will be implemented using the concepts of computer vision and convolutional neural networks on a dataset of ten Swiss retail products of various categories. Moreover, this project also implements a self-checkout system using the concept of computer-vision and deep learning. It will use the lengths and widths of object detected and also apply a text recognition algorithm to extract text from it that will help the system identify the exact product. This will also lead to less wait time for the customer, thus improving their satisfaction and preventing outbursts or complaints by the customer. The primary focus of this system is not eliminating the need of cashiers but to reduce the wait time at checkout lanes.
AI-Powered Anomaly Detection in Human Gastrointestinal System Unveiling Hidden Disorders with the DEEP LEARNING
(UMT, Lahore, 2024) Hamza Zafar, Hashir Ahmed, Gullzaib and M. Mateen Khan
Three out of eight world common cancers are esophageal, stomach and colorectal cancer (CRC). These cancers are spread due to anomalies or un-detected diseases that occurred in the human gastrointestinal system. Colorectal cancer specifically is the second most death causing cancer in the world. Like esophageal and stomach cancers, colorectal cancer (CRC) has survival rate of 8% at stage IV and from the data of previous years these cancers are responsible of causing almost 9 lacs to 1 million deaths per year. And almost accounts for 1.9 million cases. According to 2023, almost 52,550 deaths occurred due to this cancer which is spread and caused due to anomalies in human gastrointestinal system. There are tons of other numerous hazardous outcomes which occur due to human gastrointestinal disease. Thus, the medical field has so far have took numerous steps to detect human gastrointestinal disease so far. Conventionally, Colonoscopy method is used to observe human lower gastrointestinal tract (GI) and with Endoscopy Gastroenterologist observe human upper gastrointestinal diseases. Gastroenterologists used to check GI diseases using these methods. Soon with the advent of Revolution and collaboration of computers in medical fields allowed Gastroenterologist to use CADx (computer aided diagnosis) systems to detect whether human gastrointestinal system is immunes to diseases and abnormalities or not. Thus, the emergence of computers in the medical field played an important role in helping doctors observe the human Gastrointestinal system. However, computer machines are more capable in screening the large medical data from real-time or pre-recorded videos to detect diseases inside Gastrointestinal System than a human eye can. Thus, it has become an uttermost need to make such deep learning models which can detect different diseases occurred in human Gastrointestinal system from both upper GI to lower colon. This will not only save the time of doctors but also allow doctors to fully focus on treating the disease rather than taking hours to detect it. In the past, multiple works were performed in training different machine learning models with different image processing techniques to enable them to classify and detect the Gastrointestinal disease. For that a couple of research are being done where there are some models which detect disease in human upper Gastrointestinal Tract and there are some specific models which detect anomalies in only intestine part.
Automated Food Ordering System
(UMT, Lahore, 2024) Amash Khalid, Abdullah, Muhammad Zain Raza, Muhammad Asfar Ramzan and Areesha Iqbal
The goal of the project is to make it easier for restaurants to quickly and effectively manage an online menu that customers can access and use to quickly place orders. The purpose of this project is to create a thorough online ordering system for the food service industry. Customers and the restaurant will both benefit from the project's time savings and ease of order management
Barakah
(UMT, Lahore, 2024) Mahnoor Baloch
To my parents, The Donation app can be described as perhaps the most helpful product in society. This is an app that can help needy people who are in need and can be useful for a very long period. The studies say that these types of donation apps are very useful. This will also help in removing the issue of wasting food in the restaurant. The studies say there are many countries in which there are people who need food so we should be careful about this matter and not waste food. The food can be saved by not wasting the food in the restaurant. This app Barakah will be helpful to many people in Pakistan as well as abroad when it is launched. The donation apps are available on the Play Store but this has not launched yet. This app helps needy people and also the food does not get wasted in restaurants. Because people are wasting so much food in restaurants and so many needy people are dying from hunger so that’s the reason, we need to develop this project. In this project, I’m developing a mobile app that works as a medium between restaurants and trust organizations to help needy people. In this app, the restaurant members will inform about the waste food to the trust organizations and then the trust organizations members will pick up that waste food from restaurants physically and give it to needy people.
Car Rage: Havoc
(UMT, Lahore, 2024) Maaz Ahmad and Muhammad Jawad
Car Rage: Havoc is an action-packed hyper-casual mobile game where players take control of a fully armored, weapon-equipped vehicle to create chaos on the road. The goal is to cause as much destruction as possible while dodging and defeating other cars across various terrains. The game emphasizes timing, strategic decision-making, and prolonging active gameplay by eliminating opponents. With a wide range of weapons, customizable vehicles, and intelligent enemies, players can build their perfect battle machine and approach each level with different strategies. The real-time elements keep the gameplay dynamic and challenging, ensuring players remain alert. Immersive graphics, a catchy soundtrack, and a customizable upgrade system for vehicles, weapons, and armor make Car Rage: Havoc a thrilling blend of action and strategy, delivering a fun and exciting experience.
Comprehensive Evaluation of deep learning techniques for driver distraction detection using multi-source dataset
(UMT, Lahore, 2024) Muhammad Usman, Ahmad Yaqoob, Samiullah Qureshi and Abdul Hannan
This research introduces a novel approach to addressing the persistent issue of road accidents caused by driver distraction. The focus is on developing a real-time driver distraction detection system using artificial intelligence, specifically adapting the CNN architectures. The model incorporates an additional GAP2D layer, dense layers with ReLU activation, a dropout layer with a 40% dropout rate, and a final dense output layer with Softmax activation. Comprehensive training utilizes diverse datasets, including SF, DF, P’04, and BU aiming to establish a robust system for early detection of various driver distractions. The study’s objectives include minimizing distraction-related incidents across various settings, from driving scenarios to educational and workplace environments. The proposed system's range covers various industries, mainly aimed at safety, vigilance, and anti-accident. The significance of this study is based on the observation that road accidents are on the rise in all parts of the world and there is a focus on reducing the risk of deaths resulting from distracted driving. The paper is informative and has given a brief background of previous and existing techniques used in the identification of distraction. It is also listed in the Dataset description to indicate a range of driving situations and distractions that are encompassed by SF, DF, P’04 and BU. The rationale section of this paper explains why CNN architectures were selected for the model and presents the new changes and units introduced into the model. The proposed study also wisely describes what model training entails, for instance, data augmentation and validation set performance. Last but not least, the abstract comes with a list of references consisting of only the articles addressing the main concern of driver distraction detection.
CONVERSION GEAR
(UMT, Lahore, 2024) JABBAR HUSSAIN, ASAD-ULLAH MEYO and DANISH ALI
The domain of Conversion Gear Tool is continuously evolving, with increasing demand for features that streamline document Management and give the solution of multiple problems related to document conversion tool. The market for conversion gear tools is expanding quickly due to the increased need for all-inclusive document management solutions. The need for effective document conversion tools that support multiple formats (PDF, Word, Excel, etc.) has grown as organizations and individuals handle enormous volumes of data. By automating difficult conversion procedures, such as converting scanned documents into editable formats or fluidly converting between various file types, these tools seek to improve workflows. Furthermore, cloud storage compatibility, batch processing, and OCR (Optical Character Recognition) are integrated into modern tools. This development satisfies industry demands for increased security, accuracy, and efficiency in the management of digital documents. These tools provide an all-in-one solution for increasing productivity and guaranteeing seamless data handling by addressing various document-related issues.
CristyCraft Handcrafted Wonders Marketplace
(UMT, Lahore, 2024) Abiha Babar, Arisha Babar and Maham Waseem
CristyCraft: Handcrafted Wonders Marketplace is a proposed eCommerce platform designed to bridge the gap between local artisans and a global customer base. This initiative addresses the significant need for a dedicated online marketplace that specifically caters to handcrafted items, including jewelry, pottery, textiles, and other artisanal products. The primary objective of CristyCraft is to offer a platform where artisans can gain visibility and recognition for their work, which is often overshadowed in traditional eCommerce settings dominated by mass-produced goods. At its core, CristyCraft aims to empower local artisans by providing them with the opportunity to create personal profiles, list their products with detailed descriptions, and manage their sales transactions in an efficient manner. This approach not only facilitates artisans in reaching a wider audience but also ensures that their unique skills and craftsmanship are appropriately showcased and valued. For buyers, CristyCraft promises a curated and diverse selection of handcrafted items, distinguishing itself from other marketplaces by focusing on the quality and uniqueness of artisanal products. CristyCraft represents a significant step towards supporting and promoting local artisans, fostering a sustainable and eco-conscious consumer culture, and contributing to the growth and vitality of the artisanal economy. By creating a dedicated space for these artisans, CristyCraft seeks to encourage the appreciation of handmade goods and the stories behind them, bridging the gap between traditional craftsmanship and modern market needs.
DealDocSign (e-signature Platform)
(UMT, Lahore, 2024) Muhammad Talha Saeed, Muhammad Rashid, Roqia Zahra Ghafoori and Muhammad Shoaib Khan
Given the rapidly changing digital transformation in Pakistan, secure and effective document management is imperative especially with respect to contracts and signatures. 'DealDocSign' is a unique system specifically created for taking care of different challenges and opportunities in Pakistan's commercial and legal perspective. 'DealDocSign' is an innovative technology for managing documents and e-signature which totally transforms the way agreements are managed in Pakistan. Not only is going paperless a technological advancement, but it is also a strategic imperative in a society that has always thrived on paperwork as its mainstay. The aim of this initiative is to come up with a state-of-the-art web application that can cater for the peculiar needs in this land and ensure the process remains flawless as we develop e-signatures and manage documents Pakistan, in the line of other nations, has to deal with conventional workflows that are paper-based that make the whole process slugged. It can lead to inefficaciousness and security issues or even complex legal matters with such systems. However, “DealDocSign” strives to solve this problem by providing secure and regulatory compliant platform that makes entire document life cycle easy up-to when it comes to e-signing, right from creating up to electronic signing. The proposed idea offers that an advanced online system should be developed with capabilities such as secure file uploading, collaboration, organizing and most importantly legally binding digital signatures This way the system will be compliant with global e-signature standards recognizing the importance of legal compliance in Pakistan while at the same time providing secure and reliable platform for electronic transactions. “DealDocSign” is an initiative that could uplift many Pakistani independent industries. The platform meets a variety of needs, from helping legal and financial institutions with secure documents to expediting business agreements in organizations. Government agencies, academic institutions, and professions all stand to benefit from increased efficiency in document management, teamwork, and compliance. The platform makes use of modern tools like MySQL for safe database storage, PHP 8.4 for Laravel-based backend development, React JS for the frontend, and strong security features like SSL/TLS encryption for end-to-end data protection.
E-COMMERCE WEBSEITE PRODUCT HUNTING TOOLS
(UMT, Lahore, 2024) Zubaidullah Amiri, Faizan Ahmad and Abdul Jabbar
In today‟s rapidly evolving digital landscape, effective product hunting for e-commerce is essential to keep up with market trends and consumer preferences. The "E-commerce Website Product Hunting Tools" is an innovative system designed to address the challenges faced by online sellers and investors in identifying profitable products. This project aims to develop an AI-powered, web-based solution that offers personalized product recommendations, efficient search capabilities, and real-time updates to ensure informed decision-making. By integrating data from major platforms like Amazon, eBay, Shopify, and Walmart, the tool provides comprehensive analysis and insights into consumer preferences, product trends, and potential profitability. The proposed system employs advanced technologies, including Angular.js for a responsive frontend interface, the .NET framework for backend services, and MS SQL Database for secure data management. Additionally, it integrates APIs such as Helium10, Jungle Scout, and Keepa to provide accurate data on product rankings and market trends. The "E-commerce Website Product Hunting Tools" will revolutionize product hunting in the e-commerce space by offering efficient, personalized, and data-driven insights to sellers and investors. This initiative not only enhances profitability but also simplifies the product selection process, enabling businesses to stay ahead in the competitive online market.
E-Grocery Website
(UMT, Lahore, 2024) Tehreem Zafar
In the era of online shopping and e-marketing, many tasks become easy for mankind. One can access his/her phone and connect to the world’s best marketplaces. Developing a website that allows users/customers to quickly find the best offers and access through direct links to various retailers will ensure you receive the best value without compromising the quality. A place where people can find their needy product at the best price possible by simply using our website which can help users to get their required item at the lowest price. Under the hood, our website will find the users’ searched products on different superstores and marketplaces and list all of their prices with product links by which users can decide immediately where he/she should buy items. Users can simply click on the liked item’s price navigate to the main source website and order it immediately. We also have great plans to scale this project at a very large level. At the moment, the website will scrap the data from big marketplaces which allows the public to scrap data from their website and get the information and show it the our users in an organized way so that users can easily select the right item by simply checking the lowest price of that product and buy it on the moment. We also provide the main events and sales promotions of products on our websites so that those users who are connected to our website since the beginning they can have a newsletter or email service to get notified every time whenever their favorite marketplace launches a sale or any promotions deals on their products. Our main moto is to facilitate the end user as much as possible in online e-commerce world.
Edin
(UMT, Lahore, 2024) Daniyal Ahmad, Fizzah Furrukh, Musfira Attique and Zoriaz Bin Faraz
Edin is a versatile software platform catering to the interconnected needs of students, institutional faculty members, Educational Organizations, industry professionals, and companies. This comprehensive system facilitates effective communication and collaboration by offering project support, interactive sessions, job postings, and a streamlined messaging service. Students benefit from enhanced project resources and industry engagement. Simultaneously, Faculty members can refer students to different jobs that they wish to be referred for, industrial companies utilize the platform to access a talent pool, post job opportunities, and engage with prospective candidates. The integrated messaging system ensures real-time communication, fostering a dynamic and collaborative experience for all users. Edin stands at the intersection of academia and industry, providing a holistic solution to enhance connectivity, collaboration, and educational-industrial partnerships.
Educist (Educational Testing System)
(UMT, Lahore, 2024) Maheen Hammad, Asma Humayoun, Noman Qayyum, Zarafshan Fallah, Muhammad Mateen Shahzad and Chaudhary Muhammad Owais
The basic idea of this project is to provide students of school, college and universities one platform where they can prepare for their exams. Educist is an online platform where you can also find a suitable university for you and can prepare for its entrance test at your home. This is very helpful for the students living in rural areas, as they can get all the information regarding their desired universities with just one click and can easily prepare for their entrance test from the comfort of their homes. They can access a huge databank of questions and can find admission criteria, entrance test patterns for all the national universities on this platform.
Event Ovation
(UMT, Lahore, 2024) Talha Ashraf, Noor Ul Ameen and Moaz Ahmad
Event Ovation is a specialized platform for event management that aims to simplify and improve the process of organizing and overseeing events for individuals. Event Ovation offers consumers a high level of simplicity, security, and a wide range of features. The main goal of Event Ovation for clients is to offer a comprehensive event management platform where suppliers can promote their services. Event Ovation enables customers to effortlessly track the availability of any event on their schedule. The platform facilitates communication between clients and vendors. Furthermore, Event Ovation offers a payment gateway to facilitate clients in effortlessly booking any service. The platform's intuitive UI facilitates seamless navigation for users.
Fake Financial Content Identification using Machine Learning
(UMT, Lahore, 2024) Dure Zahra, Asma Iqbal and Mahnoor Manzoor
This research explores the realm of finance-related tweets on Twitter, aiming to recognize the origin of content by distinguishing between tweets created by humans, ChatGPT, and Quillbot. Leveraging preprocessing techniques in Natural Language Processing (NLP) and Machine Learning (ML), the research undertakes the compilation of a diverse dataset comprising finance-related tweets sourced from the Twitter platform. Here, the preprocessing steps including text cleaning process, converting the text into tokens, and finally feature selection which are equally important for fine-tuning and preparing the data for the classification process are restricted. To fulfill the study's objectives, two distinct machine learning models are employed: One was trained only by the human-generated Tweets whereas the other was trained on the Tweets generated by both the ChatGPT and Quillbot. During this assessment, these aforementioned models will undergo the evaluation process centered on the finance tweets set and examine their classification techniques. Thus, the primary focus of this research to outline the values of NLP and ML approaches as a means of understanding and distinguishing between the texts penned by people and the texts created by AI, where the landscape of the finance discussions on social media. From this study, the following outcomes are expected to accomplish the research aim and objectives, as well as make significant findings regarding the applicability and legitimacy of using complicated preprocessing techniques and machine learning algorithms to analyze the origin of financial-relevant messages published on Twitter and provide insights into developing human and artificial intelligence interactions in computing
FlightWhisper
(UMT, Lahore, 2024) Abu Bakar Siddique and Arslan Ali
This documentation presents a comprehensive overview of an Advanced Flight Reservation System, designed to streamline and enhance the process of booking and managing air travel. The system employs cutting-edge technologies to provide a user-friendly interface for travelers, as well as robust backend functionalities for airline administrators. Key features include real-time flight information, dynamic pricing, secure payment gateways, and efficient booking management. The system prioritizes user experience, offering an intuitive interface that enables travelers to easily search, compare, and book flights based on their preferences. Advanced filtering options, such as flexible dates and multiple destination searches, cater to diverse travel needs. Additionally, the system incorporates responsive design principles, ensuring a seamless experience across various devices. For airline administrators, the system facilitates efficient management of flight schedules, pricing strategies, and passenger data. Integration with external APIs enables real-time updates on flight availability and pricing, contributing to accurate decision-making. The system also includes robust security measures to safeguard user information and financial transactions. Furthermore, the documentation explores the architecture and technologies employed in the development of the Flight Reservation System, including database management, server-side scripting, and front-end frameworks. Comprehensive guides on system installation, configuration, and maintenance are provided to support seamless implementation.
Game Based Learning for Chemical Teaching
(UMT, Lahore, 2024) Sibghat Ullah Ubaid and Mudassar Hussain
Education is only one of several fields that has been profoundly impacted by the gaming industry's reputation for innovation and change. An innovative approach to education, game-based learning takes advantage of the fun and interactive aspects of games to improve students' educational experiences. The purpose of this research is to determine whether or not GBL is an effective method for teaching chemistry to primary school pupils. Through the integration of educational content into gaming frameworks, GBL stimulates active involvement, problem-solving, and increased retention of academic material. The study looks at how GBL affects students' understanding, memorization, and interest in chemistry class. In order to shed light on the use of GBL approaches in elementary school chemistry classes, the study will examine previous research and carry out in-depth case studies. In order to reduce educational inequalities and improve learning results, it is necessary to establish a welcoming and productive learning environment for all students. This paper adds to the increasing amount of evidence showing GBL has the ability to completely change the way chemistry is taught. It also provides practical advice for teachers and game designers on how to work together to create educational games that meet the requirements of students and the objectives of the curriculum
Ghost Hunter Chronicles Game
(UMT, Lahore, 2024) Zohaib Shahjehan, Muhammad Rayyan Khan, Muhammad Usman Sheikh and Johar Nadeem
Ghost Hunter Chronicles is an appealing horror game written from the first-person perspective for Windows 11 which allows players to interact with absolute horror in a much better way, thus providing an amazing getaway from the realities of life. Stand right in the center of award-winning Creepville and the game confronts you with a male character called Eli, your player’s alter ego. He is, however, a man whose job involves working as a ghost buster far away from him home area going as far as killing yokai and other creatures that exist only in his imagination. Well, it has a more expansive 3D art aspect and better yet has an enthralling storyline hidden within the game’s mechanics which the players are always eager to explore. In the actual gaming experience, players are instructed to retrieve a Ghost Tracking Compass as it is the only way in which they can locate the ectoplasmic emanations, eliminate players who have been ghosting the levels while playing the catch the ghost game. Taking players through such experiences also means that the players step into another level which is higher than where they just were but this time introducing those fresh puzzles and more gory enemies. In-depth, the outlined project is aimed at improving the existing horror image through the introduction of a narrative that can be absorbed in a rather interesting and without a doubt, active way, and gameplay. The scenes and interaction with the games were developed by using game developing facilities for indie game creator companies, Unity, and Unreal Engine 5. It is not just a sophisticated game developing method, but Ghost Hunter Chronicles also provides the experience of a spine-chilling and an engrossing plot that raises the level of engagement of the players or gamblers who play it. For example, one of the key goals of the game "Ghost Hunter Chronicles" was to create these experiences that would be WOW for the player, and subsequently put the company on the highest rung of the interactive horror industry.
Green Farm Line
(UMT, Lahore, 2024) Muhammad Muzzamil Khan and Ahmad Hassan Khan
Technology has now become vital for the improvement of farming methods in Pakistan’s growing agricultural area. The agriculture sector has various issues and prospects which have been addressed by "Green Farm-Line", an innovative solution. The aim of this project is to create a state-of-the-art online system that incorporates ecommerce, community involvement and precision farming implements for substantial enhancement of farmers’ agricultural practices. Traditional Pakistani agricultural processes are usually ineffective due to poor quality control, difficulties in managing diseases, etc. In order to tackle these problems, “Green Farm-Line” seeks to create a safe and all-inclusive environment where different farming activities like buying agricultural products and diagnosing plant illnesses can be carried out more easily. A suggested rational measure comprises an online shop where one can purchase agricultural necessities from the registered sellers, a platform for exchanging ideas between farmers and professionals, as well as a method based on artificial intelligence, which utilizes analysis of crop images for early disease identification. Developed using MERN stack, the system is a strong and scalable web application. Some of its features are secure user login, discussion forum proper real time and extended image processing for crop disease identification. Furthermore, by utilizing TensorFlow, OpenCV and Stripe for payment processing; platform comes out to be technologically sound while it remains easy to use.

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