2024

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https://escholar.umt.edu.pk/handle/123456789/18364

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    The next gen e-commerce and clothing customization platform
    (UMT.Lahore, 2024) Muhammad Ruhaib; Afaq Razaq; Arslan Ahmad
    NextGen is a state-of-the-art online marketplace that mixes e-commerce with a user-friendly tool for apparel customisation in Pakistan. With the help of this creative effort, people, groups, and companies may create and customize shirts, t-shirts, hoodies, and more. With features like international text options, easy element placement, and image uploads, NextGen is redefining how people interact with personalized clothing. A tutorial video adds to the platform's simplicity and guarantees a smooth design experience. In addition, NextGen acts as a center for e-commerce, where companies may sign up and display their customized goods. NextGen hopes to redefine customized fashion in Pakistan by emphasizing user-friendliness and diversity
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    Intelligent healthcare symptom analysis system
    (UMT.Lahore, 2024) Ali Razzaq; Muhammad Ahsan; Abdullah Aayan Khundi
    This Final Year Project presents the development of an innovative web-based applicationdesigned for the intelligent analysis of healthcare symptoms using advanced machine learning techniques. The core of the project lies in the creation of a highly accurate machine learning model trained on a substantial dataset of patient symptoms and medicalrecords. This model employs state-of the-art algorithms to identify and diagnose various health conditions, demonstrating a significant level of precision and reliability. The project also focuses on the development of a user-friendly web interface that allows medical professionals, such as doctors and healthcare technicians, to input patient symptoms and receive immediate diagnostic results. The interface is designed to be intuitive, ensuring ease of use and clarity in the presentation of diagnostic information. Avital goal of this project is to enhance the efficiency of symptom analysis in the healthcare system, particularly in resource-limited settings. By providing a rapid and accurate diagnostic tool, the application aims to expedite patient treatment and improve overall healthcare outcomes. In addition, the project addresses the crucial aspects of datasecurity and patient privacy, ensuring that all user data and diagnostic results are handled with the utmost confidentiality and in compliance with healthcare regulations. The successful implementation of this project demonstrates the potential of combining digital data processing and machine learning in medical diagnostics. It not only contributes to the field of medical technology but also paves the way for future research and development in the application of artificial intelligence in healthcare
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    Colossal store
    (UMT.Lahore, 2024) M. Rizwan Hameed; M.Uzair; Sheraz Hussain; Syed Attabik Ali Shah
    The purpose of this project is to develop an online clothing store web application with augmented reality (AR) capabilities for virtual try-on. The traditional online shopping experience often lacks the ability for customers to try on clothing items before making a purchase, leading to uncertainties and potential returns. To address this issue, our web application integrates advanced AR technology, allowing users to virtually try on clothes in real-time using their devices. The key features of our web application include a user-friendly interface for browsing and selecting clothing items, a secure payment system for seamless transactions, and an intuitive virtual try-on experience using augmented reality. By leveraging AR technology, customers can overlay virtual garments onto their live video feed, enabling them to visualize how the clothes would look and fit on their own bodies. The development process involves utilizing computer vision algorithms to accurately detect and track the user's body, enabling precise garment placement and alignment. Additionally, we integrate realistic fabric simulations to provide customers with an immersive and authentic virtual try-on experience. To ensure compatibility across devices, our web application is designed to be responsive and accessible, supporting various platforms such as desktops, tablets, and smartphones. In addition to enhancing the shopping experience for customers, our web application provides benefits to clothing retailers as well. By offering a virtual try-on feature, retailers can reduce the rate of returns and increase customer satisfaction. Moreover, the application provides valuable insights through data analytics, enabling retailers to understand customer preferences, optimize inventory management, and tailor marketing strategies. Through this project, we aim to revolutionize the online clothing shopping experience by bridging the gap between the virtual and physical realms. By providing customers with a realistic and interactive virtual try-on experience, we seek to enhance their confidence in making informed purchasing decisions and ultimately contribute to the growth and success of clothing retailers in the digital age
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    Listify
    (UMT.Lahore, 2024) Muhammad Ihtesham Latif; Asad Ali; Hamza Shakeel; Muhammad Usman Zubair
    In today's world, online shopping hasshifted the way individuals buy clothing, making it simpler to obtain customized things. This project presents a new website that allows you to quickly create your own T-shirts. To customize your design, you may choose from a variety of themes, color, pictures, and text. The website works well on both desktops and phones, making it simple to use. We utilize Stripe, a reputable online payment solution, to make secure and straightforward payments. Stripe allows you to pay securely using many options. Our mission is to provide people with a pleasant method to express themselves through fashion while ensuring a secure and smooth buying experience. Stripe integration allows for faster and more dependable payments, which is critical to the success of our online store.
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    Text2talent
    (UMT.Lahore, 2024) Muhammad Uzair Zahid; Muhammad Umair; Hasnat Ijaz
    Text2Talent is a web application designed for recruiters to enhance the recruitment/hiring process by taking the pain of searching and finding the best suitable candidate for the job under the given criteria. It uses NLP techniques to parse the data and then some ML algorithms for ranking the resume using the parsed data with respect to the given criteria for the job. Using Text2Talent, recruiters only need to create a job, mention the criteria and share the provided link to the applicants, applicants will then submit their data using the link and the rest of the work is on our system to search and find the eligible candidates.
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    Block chain based real estate web app
    (UMT.Lahore, 2024) Syed Kashan Ali; Saad Ali
    abstract not available
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    Game unite
    (UMT.Lahore, 2024) Fahad Zulfiqar; Muhammad Ashan; Ali Raza
    Modern problems require modern solutions. A gaming platform prioritizing user safety through robust security measures like encryption, secure payments, and user verification. Game Unite is a platform where community can buy/sell games accounts. This platform will serve as a gaming marketplace, latest updates about upcoming games. This innovative approach positions Game Unite as a technologically advanced gaming platform, reshaping industry standards for secure and transparent gaming communities
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    Care chain (automation in healthcare industry
    (UMT.Lahore, 2024) Hafiza Ayesha Nisar; Zoha Khalid; Farah Farooq
    Through the introduction of a revolutionary Healthcare/Hospital Management System, this program aims to address ongoing issues in Pakistan's healthcare management. The project prioritizes an open Application Programming Interface (API) for safe data transmission and a sophisticated Electronic Health Records (EHR) system in order to overcome the inefficiencies and data inaccuracies brought about by manual operations. The project intends to automate hospital operations, centralize patient data, and incorporate cutting-edge components including a Patient Portal and a Pharmacy Portal. It is motivated by a dedication to improving patient care and keeping up with global healthcare trends. Simplified procedures, better patient care, and a major improvement in Pakistan's healthcare industry are all anticipated results
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    Sign language to voice and text Converter application (echosign)
    (UMT.Lahore, 2024) Muhammad Ali; Muhammad Sufyan; Ali Shahzad Khan; Waleed Riaz
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    Bestwear
    (UMT.Lahore, 2024) Umer Rashid; Ghulam Ahmed; Muhammad Haroon
    In today's fast-paced world, making wardrobe choices can often feel like a daunting task. "BestWear" is designed to transform this experience, offering users a personal fashion guide that makes dressing up simple, enjoyable, and tailored to their unique style. Unlike typical fashion apps, "BestWear" blends innovative technology with a user-friendly approach, ensuring that every outfit choice is effortless and exciting. The app features advanced recommendation algorithms, personalized wardrobe organization, and weather-based outfit suggestions, all within a visually appealing and intuitive interface. To develop this app, data was collected from multiple sources, including Kaggle and GitHub. The data was initially disorganized, requiring meticulous categorization into labels for female and male clothing, and organization into a CSV file for training purposes. Additional parameters such as wear type, item type, description, formality, and color were incorporated. The data was further refined by creating a new column that included information derived from image curves and pixel analysis, along with enhancements from image filters. The mobile application is built using React, leveraging its component-based architecture to create a responsive and efficient user interface. By addressing the common challenges of outfit selection, "BestWear" empowers users—whether fashion enthusiasts, busy professionals, or frequent travelers—to embrace their personal style with confidence. This project aims to revolutionize the fashion experience, making it more accessible and stress-free for everyone.
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    Brats 2021 task-1 using 2d cgnet
    (UMT.Lahore, 2024) Aena Sakhee
    Accurate segmentation of Brain Tumour Segmentation challenges in Medical Imaging is important for diagnosis and treatment planning. Advanced segmentation techniques have been implemented with attention on the BraTS 2021 Task 1 challenge. Segmentation in the understanding of morphology of the tumor and its processes for treatment planning has been highly recognized. 2D CGNet (Context Guided Network) is introduced for segmentation of Brain Tumours. It is a model which explains the usage of context-guided blocks in the enhancement of feature representation. tion, capturing both local and global context. In this architecture, the 2D CGNet holds a few key compo-nents, including the ContextGuidedBlock, in which convolutional layers are created to work with differen-tially dilation rates for capturing multi-scale features. Besides, a SqueezeExciteBlock is applied for recal-ibration on channel-wise feature responses, strengthening its ability to focus on relevant features. Very promising results were obtained using the 2D CGNet since high Dice scores were attained in segmentation, while An overview of the proper training time has to be kept for a very high clinical efficacy. The 2D CGNet demonstrated excellent results, achieving high Dice scores in segmentation while maintaining an appropriate training time, making it highly efficient for clinical applications. In conclusion, This paper promotes complexity in the segmentation models, more so in challenging datasets such as BraTS. Such an advanced 2D CGNet model would perform better compared to simpler counterparts.
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    Medic pro
    (UMT.Lahore, 2024) Ali Hassan; Omar Abo Bakar; Wardah Ali
    In an increasingly online world, this project aims to revolutionize medical consultations by creating a comprehensive system cantered around user experience, powered by our advanced AI-driven chatbot. Unlike traditional chat companions, our chatbot doubles as a virtual health advisor, actively engaging users to collect health information and providing personalized doctor recommendations. Beginning with user registration, we're focused on setting a positive tone for the entire experience. The chatbot empowers patients by offering personalized recommendations, allowing them to actively choose consultation times that suit their schedules. This user-friendly approach enhances the fusion of technology and human-centric design, aiming to make medical consultations not only efficient but also accessible and personalized. In essence, Medic Pro goes beyond conventional healthcare technology. It's a dynamic shift in how individuals engage with and access healthcare services, envisioning a future where medical consultations are seamlessly user-centric, technologically advanced, and highly accessible.
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    E-shop
    (UMT.Lahore, 2024) Hafiz Ahmad Saad; Ashir Mehmood
    With the current boom of Artificial intelligence, I have decided to go with a project based on AI, so that this can be a part of the current boom, and can create real value for all the people involved. Using Artificial intelligence in the e-commerce domain for image generation fosters new use cases and opens up a way to never seen before customization. This application enables users to acquire customized purchases to a great extent which can lead to more user conversions, and increase the customer satisfaction to a great extent. This application allows users to purchase casual clothing items and offers a great deal of customization all in a single app. For customers seeking personalized wearables, this can be very helpful. Although it is still in its early stages, this innovative idea has opened up a lot of possibilities. People who truly cannot spare the time to go out and buy wearables can use this application to complete tasks in one location and obtain fully customizable products. Through the use of the canvas this application offers, users can customize the hues, patterns, and even the shapes they would like their wearable to be in.
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    Ezzy chat (real-time chat application)
    (UMT.Lahore, 2024) RAO ASAD DAOOD; USAMA IMTIAZ
    Our final year project is a Realtime chat application designed to provide seamless communication between users. The application allows users to log in using their Google accounts, eliminating the need for sign-up. Users can add each other through authentic email addresses and engage in real-time chat. The application offers additional features such as viewing others' email, profile information, and join date. Users can send images through the camera and gallery and receive push notifications for new messages. The application also supports user profile updates, message management (including deletion, copying, and viewing message timestamps), and AI bot interactions using the Google Gemini. The project aims to enhance communication and user experience through its intuitive interface and functional features
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    Have i been breached
    (UMT.Lahore, 2024) Alisha Zahid; Abubakar Fiaz; Samra Asif
    abstract not available
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    Nomad
    (UMT.Lahore, 2024) Abdul Haseeb Shams; Mohammad; Raja Muhammad Mansur Sajid
    “NOMAD” is a groundbreaking project that aims to solve the problems faced by solo travelers in our global society. The project acknowledges that many people want to see the world, but they often face barriers such as the lack of a travel partner, the high cost of traveling, and increasing scams around the world. The main objective of NOMAD is to offer a complete solution for solo travelers by creating a user-friendly platform that meets their different needs. The current travel and tourism market is expensive, with increasing prices for accommodation and transportation, discouraging potential travelers. NOMAD wants to overcome these challenges by developing an innovative system that creates personalized itineraries based on budget and preferences. Some of the key features of NOMAD are the ability to connect travelers who share similar interests and travel plans, real-time safety alerts, destination-specific checklists, travel advice and scam protection. The system ensures user safety through strong security measures, such as user verification and GPS tracking. By giving travelers the freedom to choose their companions for specific parts of their trip, NOMAD improves the overall travel experience. NOMAD is reliable and accessible, providing accurate matching, itinerary planning, and 24/7 service to suit users’ needs. The system’s scalability allows for easy integration of new profiles, while regular performance improvements to ensure optimal functionality as the number of users grows.
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    Trek Buddy
    (UMT.Lahore, 2024) Abdul Wahab Junaid; Hamza Asghar Butt; Muhammad Zain Ali; Zarfa Masood
    Trek Buddy is a specialized trip-planning website catering to Pakistani tourists seeking safe and affordable travel experiences in the Northern areas. Many people plan trips but are unable to fulfill their dreams of spending quality time because of insufficient budget, whereas the ones having a budget lack prior knowledge about the areas and can be scammed and misguided easily with higher costs and wrong directions. The key objective of this application is to avoid such scams and misguidance. This application provides a platform where users can plan their trip with accommodation and travel guidance. The aim of Trek Buddy is to provide a comprehensive platform that ensures affordable, and memorable trips to the stunning Northern areas of Pakistan. By combining user-friendly functionalities, personalized trip planning options, and a seamless vendor interface, Travel Buddy aims to revolutionize the way Pakistani tourists explore the scenic beauty of their country. Trek Buddy offers three distinct packages “First class, Business class, and Economy class”. The First Class package provides top-notch accommodations, reliable transportation, and an exceptional trip experience. The Business Class package provides luxury hoteling and travel experiences for those seeking a premium and lavish adventure. The Economy package offers affordable options for accommodation and transportation, ensuring a cost-effective journey without compromising comfort. Trek Buddy goes beyond serving tourists; it also facilitates vendors and hotel owners by offering them dedicated portals. Through these portals, hotel owners can showcase available rooms and provide the best-suited accommodation options to customers based on their budgets. This feature streamlines the booking process and ensures transparency between tourists and hoteliers, enhancing the overall travel experience
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    Bakra dekho
    (UMT.Lahore, 2024) Umair Arshad; Hamza Shaban; Muneeb Gull
    Eid-al-Adha is an important festival in our country where people buy and sell animals in the market. When sellers come to market to sell their animals, when they face many difficulties like whether the proper place is available or not, animal food and drink problems. Sellers give rent to the government or owners where they are sitting .Our application solves this problem and we provide a facility for sellers as well as end users who buy animals. Using this application, sellers can sell their animals online and end users buy animals
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    Arcane odyssey
    (UMT.Lahore, 2024) Muhammad Abdullah Nisar; Muhammad Furqan; Aimal Siddiqua
    The Dungeon Crawler Rogue-like genre is ever growing with many developers taking their shot at making games that give players a fun and satisfying experience. Arcane Odyssey looks to take all the best parts of this genre and fill the gap in this market by adding in unique features that give it its own identity. Embark on a journey through a large number of levels with memorable characters, dynamic difficulty and a fun, engaging combat system. Arcane Odyssey is filled with its story narrative that takes the player on a quest to uncover the truth of the world they are in, and of themselves. Using Unity as its base engine, Arcane Odyssey looks to provide a fresh 3D gaming experience aimed at teens and ages above. Along with leveraging Cloud Services, it provides users with ease of access and quality of life properties
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    Internet service provider
    (UMT.Lahore, 2024) Hassan Naeem; Muhammad Umar Sayyum; Muhammad Faisal
    Internet Service Providers (ISPs) offer access to the Internet and other network, resources to their customers. The ISP marketplace is extremely competitive, requiring ISPs to provide their services with limited resources. In this thesis, we model the traffic routing decision by using dynamic protocols. We used MPLS for faster switching because in this fast era customer needs fast browsing and private company needs private network for connecting their offices. It is layer 2.5 technology. For this purpose, we configured VRF and MP-BGP to create VPNs. MPLS-VPNs provide secure and reliable data transmission over shared infrastructure using the concept of virtual routing and forwarding (VRF). With the help of RD customers can use overlapping address spaces. MPLS VPN deployment is capable of supporting tens of thousands of VPN groups over the same network. To develop our experiments, we emulate a real ISP on EVE and VMWARE. We focus on factors like Quality of Service to Police the Traffic and SNMP to monitor the effectiveness of limited resources