2024

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Now showing 1 - 20 of 52

Health guardian
(UMT, Lahore, 2024) M Umer Arshad and Beenish Khan
The "Health Guardian" project introduces a website and mobile app that's designed to help patients better manage their medical care. The reason behind this project's development is the challenge that many people face in accessing the necessary health care services and information. At times, it can be difficult to find the correct health care provider, services may be delayed, and information may be dispersed widely. "Health Guardian" aims to address these issues by centralizing all the information in a user-friendly location. The app will benefit users in multiple ways and be compatible with Android phones. It can check for symptoms, generate prescriptions report, provide disease information, suggest medicines, and even allow users to purchase medications through the app. Enabling access to health care is the primary objective of this project. "Health Guardian" aims to make people's health care easier by integrating all of these services into a single app. People expect to get benefit from this app in terms of receiving better medical care, making better choices regarding their health, and feeling satisfied with their whole medical experience.
Heuristic for game based language learning and mobile application assistance
(UMT, Lahore, 2024) Seth Usama, Yousaf Ahmad and Abdul Raffay
The Gamification is a integrations of game designs aspects into educations, especially languages acquisitions, with the goals of improving students’ engagement and learning. This study examines how well a gamified teaching techniques works in game-based language learning (GBLL), with a particular way and emphasis on the relationships between heuristic judgments and cultural settings. Our main goal is to discover a current heuristic and suggest new ones that are more efficiently, culturally sensitive by using (SSM) Soft Systems Methodology in conjunction and collaboration with a systematic literature review study. According to our research work, Gamification improves students’ engagement motivational, and recall of material. However, due to cultural biases and the requirement for adaptive learning algorithms, difficulties persist in developing frameworks that are relevant to all situations. We create a culturally appropriate instructional game model through iterative testing and stakeholder feedback, showing notable gains in language learning results above conventional approaches. This research provides recommendations for educators and game developers to maximize the effectiveness of GBLL and emphasizes the significance of cultural relevance in educational game design
Smart fashion assistant
(UMT, Lahore, 2024) M.Umair Malik and Aiman Ali
The project Smart Fashion Assistant is a flutter-based application that allows users to buy clothing products from a mobile app. Along with this it also allows users to get predictions from the app about the colors of cloth that will suit the user. Basically the Machine Learning module will detect the skin tone of the user and on the basis of skin tone it will suggest the user. For this app, we use Android Studio for flutter development and integration of machine learning, firebase for the backend of the app.
Advancing s-box design through chaotic map integration
(UMT, Lahore, 2024) Muhammad Bilal, Danial Abbas and Mohsin Ali
The security of cryptographic systems is paramount in the digital age, where data protection and privacy are critical concerns. This project explores the enhancement of S-box design by integrating chaotic maps, aiming to improve the cryptographic strength and resilience of encryption algorithms. Chaotic maps, known for their sensitivity to initial conditions and complex dynamic behaviour, offer a promising approach to generating more secure and unpredictable S-boxes. In this study, we delve into the principles of chaotic maps and their application in S-box design. We develop a novel methodology for integrating chaotic maps into the S-box construction process, ensuring enhanced non-linearity, confusion, and diffusion properties. The performance and security of the proposed S-boxes are rigorously evaluated through various cryptographic criteria, including avalanche effect, non-linearity, and resistance to common attacks. Our findings demonstrate that the integration of chaotic maps significantly strengthens the cryptographic properties of S-boxes, providing a robust foundation for secure encryption systems. This research contributes to the field of cryptography by presenting a new direction for S-box design, leveraging the inherent unpredictability of chaotic systems to bolster data security. The outcomes of this project have the potential to influence future cryptographic practices and inspire further innovations in secure communication technologies
Laptops hub
(UMT, Lahore, 2024) Quratulain Nasrullah and Maham Ejaz
In today's world, laptops are like our trusted companions that support us at work, study and communication. But let's be honest, physically buying and selling them can be a little annoying. Think about how much effort goes into getting the real deal and finding the perfect laptop that's right for you. Go to the laptop center that has the right solution for you! It is like a laptop matchmaker that connects buyers with reliable sellers in Pakistan and used laptop market. Laptops HUB seeks to explore authenticity and individuality. It uses great machine learning tricks to make your laptop run more smoothly. It's not just about checking vendors; it stands for security, advanced performance and user experience, giving Pakistani laptops a whole new feel..
JEdify
(UMT, Lahore, 2024) M. Umair, M.Waleed and Faraz Ahmed
Our Project “JEdify” is an innovative educational platform aimed at bridging the gap between students and the IT industry. It seeks to empower students by helping them discover and pursue their true interests, providing comprehensive guidance and skills development to align their capabilities with industry demands. By focusing on personalized learning paths and industry-relevant skills, JEdify aims to transform students into valuable assets, ready to contribute effectively to the evolving IT sector.
MediConnect
(UMT, Lahore, 2024) Laiba Abdul Razzaq, Haiqa Humayun and Ume Habiba
This Final Year Project, MediConnect is a website in which we discover the diseases using symptoms or using user profile. Where anyone can register their account, visit the website and experience with this procedure. In which we have three modules (Patient, Doctor, Admin). The patient can register their account and verify and edit user profile before/after booking an appointment and write short summary box to fill it (its mandatory) that is called User-profile. The Patient also ask questions based on AI with predefine question. Then, there is automatic notification generate there we see what kind of diseases we have and what kind of prevention we need. Also suggest us a particular doctor nearby location according to our disease using map. Then suggest us appointments to book with the doctor (regarding our diseases or symptoms based). The Doctor might remove a patient from their schedule or appointments. The Admin will update all the schedules and appointments on daily base and add doctors, might be removed. The system generates auto notification until we book an appointment (To maintain for health).
Digital city web portal for Lahore
(UMT, Lahore, 2024) Nimra Abid and Mishaal Tanveer
The Digital City Website Development project aims to design, develop, and launch a comprehensive website that serves as the central hub of a digital city initiative. This website will offer a plethora of features and functionalities where all the information is centralized to enhance urban living, promote community involvement, and advance sustainability. It is an integrated portal. We will put in place robust security measures and create an easy-to-use user interface for locals, companies, and guests as well as forgein’s within the digital city in order to safeguard user data and maintain the integrity of the website.
Smart traffic signal regulations powered by artificial intelligence
(UMT, Lahore, 2024) Mohammad Taha, Abdul Wahab, Mateen Faraz, Muhammad Salman and Ahmad Zulfiqar
Traditional traffic lights, due to their fixed schedules, often struggle to adapt to changing traffic patterns. This lack of flexibility leads to delays, congestion, and environmental problems. However, the smart traffic light system outlined in this abstract takes a different approach. They utilizing real-time data and adaptive algorithms, it can optimize traffic flow, reduce travel times, and improve urban mobility. One crucial attribute of this system is its ability to acquire real-time data. Through a network of sensors, cameras, and vehicle-to-infrastructure communication, it can track traffic volume, speed, and vehicle types in real- time. This information allows the system to make informed decisions and respond dynamically to traffic circumstances. Another key feature is the adaptive traffic signal control. They modifying signal timing based on the current traffic conditions, the system prioritizes automobiles, reduces wait times, and alleviates congestion. This is achieved through the use of sophisticated algorithms that continuously analyze the data and adjust the signal timings accordingly. Furthermore, the concept of Integrated Pedestrian and Cyclist Safety is an integral part of this system. It ensures that pedestrian crossing times are prioritized, promotes safe cycling through dedicated lanes and synchronized signals, and encourages active transportation. In addition to improving traffic flow and safety, this smart traffic light system also contributes to environmental sustainability. The streamlining transportation and minimizing emissions, it reduces both pollution and idle time. Overall, this data-driven and scalable smart traffic light system offers a revolutionary solution to enhance urban mobility. The optimizing traffic flow, prioritizing safety, and promoting sustainability, cities can become more ecologically friendly, livable, and efficient environments.
Computer vision for plant growth management
(UMT, Lahore, 2024) Muhammad Abdullah Khan and Muhammad Faizan Ali
The idea for our project emerged after witnessing a relative struggling with crop health management last season. In Pakistan, many farmers rely on traditional, manual methods to assess plant health—typically walking through fields and visually inspecting plants. This approach is not only labor-intensive but also prone to missing early signs of disease. To address this, we developed an affordable, IoT-based computer vision system using a Raspberry Pi paired with a basic camera module. The total cost of the setup was approximately PKR 40,000, making it significantly more accessible compared to the high-end equipment used on large-scale farms. The system captures images of crops and analyzes them to detect signs of disease, such as leaf spots or discoloration. Initially, we designed a complex dashboard with graphs and percentages, but field testing revealed that it was too difficult to use for those unfamiliar with digital tools. We redesigned it with a much simpler interface that provides a basic status—"Plant Healthy" or "Plant Sick"—along with brief suggestions for action. The system was tested on a local farm for three weeks in February. Results were mixed: it successfully detected diseases like potato blight early in some cases, but struggled with environmental challenges such as poor lighting and dust accumulation on the lens, which we hadn't initially accounted for. Currently, the detection accuracy is around 75–80%. While not perfect, it still represents an improvement over traditional methods. Work is ongoing to improve the model and address the environmental limitations, with plans for continued development in future..
Kandleeco
(UMT, Lahore, 2024) Laiba Khurram
This project focuses on creating and selling handcrafted scented jar candles and crochet items like keychains and bouquets. Our goal is to offer unique, high-quality products that customers can purchase online easily. By combining the cozy ambiance of scented candles with the charm of crochet crafts, we aim to provide delightful home decor and gifts. Our online store will feature detailed product information and images to help customers make informed choices. We strive to build a loyal customer base through excellent products and convenient shopping, establishing a strong presence in the handcrafted good. To achieve this, we are developing our online store using the MERN stack, which includes MongoDB, Express.js, Node.js, and React.js. The initiative aims to enhance the overall user experience by offering an intuitive and visually appealing interface for discovering, browsing, and purchasing candles of various types, scents, and designs.
Man behind the wall detection
(UMT, Lahore, 2024) Ahmed Raza, Shahroz Ahmad and Armaghan Haider
It is therefore our pleasure to showcase our proposed “Microwave Sensor for Humans Detection Behind the Walls”. This highly advanced system incorporates microwave sensors and Arduino microcontrollers to alert of motion behind walls. Thus, our aim is to offer perfect systems for remote sensing in various fields as security surveillance, smart home control, and emergency response systems. What also differentiates our system from other existing designs is its high accuracy and fast response to the control signal, as well as its ability to operate properly in a number of different environmental conditions to be encountered in its practical applications. Taking our years of research, iterations, trials and experiments to the test, this has been found to have the capacity to heighten safety, productivity and convenience in the real world environment. The next steps include the improvement of the system and the research of new possibilities to increase its scope and apply it to other fields. This project is a leap forward in remote sensing going to be exploring the difficulty of the concealed motion detection along with extending the possibility of remote monitoring and surveillance into the new phases.
Animal tracking system
(UMT, Lahore, 2024) Muhammad Ammar Murtaza and Muhammad Amir
This study introduces a novel approach for livestock farm tracking utilizing both RFID technology and IoT solutions. The proposed system aims to address the challenge of efficiently monitoring and managing animal movements within farm environments. By integrating RFID readers and tags with a central microcontroller and employing GPS modules alongside LoRaWAN communication, the system enables comprehensive real-time data collection and processing. RFID readers are strategically placed at entry and exit points, and RFID tags are attached to individual animals, facilitating accurate and timely tracking. The GPS module captures geographical coordinates, which are transmitted via LoRaWAN to a receiver unit and then uploaded to the ThingSpeak IoT platform. A custom-built application uses the ThingSpeak API to display the location data on a map, providing a user-friendly interface for real-time monitoring. Through rigorous testing and implementation, the system demonstrates significant improvements in performance and reliability compared to traditional tracking methods. The results indicate enhanced efficiency, accuracy, and adaptability in livestock management, offering promising prospects for optimizing farm operations. In conclusion, this integrated RFID and IoT-based livestock tracking system presents a viable solution to streamline animal monitoring processes, laying the groundwork for more efficient and sustainable agricultural practices.
QoS enabled smart learning
(UMT, Lahore, 2024) Aamir Sohail and Haider Ali
Cloud Computing (CC) and Internet of Things (IoT) are the mainstays of modern information technology computing services adding significant values in revolutionizing the industry. CloudIoTservices dominate in all disciplines of life including social, agriculture, health, economics, management, IT, education and research. The Quality of Service (QoS) or Experience (QoE) can immensely be enhanced by leveraging CloudIoT in all lifestyles especially in domain of smart learning. This study highlights the implications of QoS enabled smart learning by addressing basic notions of CloudIoT in educational domain and ponders the significance of its adoption along with prevailing issues and challenges. We seek to investigate the current Cloud and IoT services' supports for research in education and analyzed the collected data from variety of journals from 2010-2019 to observe and to refine the scope of the empirical research based on cloud computing for learning and educational purpose. We also investigate a correlation of research needs and the current Cloud and IoT services available in context of pricing, the features, the service model, the region, the associated industry and the type of IoT services provided. Further, we investigate the significance of QoS enabled smart learning leveraging the adoption of Cloud and IoT services in educational domain as compared to traditional learning style. Eventually, the study concludes that QoS enabled smart education systems outperforms the traditional learning styles and emphases for the adoption of Cloud-IoT services in research and education sectors.
Forsight
(UMT, Lahore, 2024) Alishan Masood and Hassam Bin Saleem
Forsight is an AI based ecommerce site where the products will be eyeglasses with an AI function for virtually try-on eyeglasses in which users can upload their picture and try eyeglasses virtually. The AI will be trained to recognize the user’s facial features and position of eyeglasses correctly on their face. The goal of this project is to provide a fully functional and user friendly AI based ecommerce site that allows customers to browse, select, and purchase eyeglasses online, as well as to try them on virtually using AI technology. This site will be responsive, ensuring that it will works well on different devices. The proposed system will provide users with an easy-to-use and convenient way to shop for eyeglasses online. The Virtually Try-On feature will set the website apart from other eyeglasses ecommerce sites and provide users with a unique and engaging shopping experience
Fit flow
(UMT, Lahore, 2024) Asad Siddiqui and Fateh Naeem Ali
We have created a website and a fitness mobile app that makes use of modern technologies to help fitness enthusiasts and gym trainers accomplish their goals. The increasing demand for more readily available, reasonably priced, and efficient ways to preserve our physical health and well-being served as the driving force behind this. Our hybrid app offers a plethora of innovative and useful features, such as goal-setting, user plans, step tracking, a personal diary, a BMI calculator, and a form detector that can detect a user's posture in real-time and provide recommendations based on it. This software will also tell about foods along with exercises to help users attain their goals. Each user will have a customizable personal account on which the user can avail the required benefits according to his/her needs. A like-minded community will also be created on Discord server to make a healthy collaborative and discussion platform for users.
AI-Powered pet care and marketplace
(UMT, Lahore, 2024) Hammad Ahmad, M. Aman Gohar, Zarar Naseem and Shoaib Ali
The AI-Powered Pet Care and Marketplace endeavors to transform the experience of pet care by leveraging technology to create a seamless and enjoyable process for pet owners, sellers, and care providers. This initiative addresses common challenges faced by pet owners, such as identifying health issues and accessing reliable care, through the integration of a user-friendly online marketplace with advanced AI features. Functioning as a centralized hub, this project offers a comprehensive range of services, or adopting animals. Additionally, the platform provides AI-powered breed identification and health recommendations, enhancing the overall well-being of pets and simplifying decision-making for their owners. In summary, this project seeks to revolutionize pet care by providing a convenient and supportive platform also prioritizes the welfare of pets and their human companions.
AI deep fake
(UMT, Lahore, 2024) Muhammad Ali and Danish Jameel
The "AI Fake Detection" project addresses the challenge of misinformation and AI-generated content, enhancing the integrity and safety of online platforms. Developed with Django, this web-based solution allows secure sharing of images, videos, and text, utilizing advanced AI technologies. The platform employs Convolutional Neural Networks (CNN) and Deep Neural Networks (DNN)to classify user-generated content as positive or negative, distinguishing genuine material from falsified content. Additionally, a Computer Vision (CV)-powered "Detect" feature verifies the authenticity of facial images, identifying AI-generated representations. Incorporating robust cybersecurity measures and Natural Language Processing (NLP)capabilities, the platform protects user data and ensures data integrity. By analyzing metadata and using advanced encryption protocols, it mitigates potential threats and manipulative practices. Through stakeholder engagement, the project addresses the needs of organizations, content creators, users, developers, and data scientists, fostering collaboration for a secure and trustworthy online environment. The "AI Fake Detection" project signifies a major step toward ensuring authenticity and transparency in digital content sharing, leveraging AI and cybersecurity to promote
Game based waste management system
(UMT, Lahore, 2024) MUHAMMAD SHAHZAIB SABEEH, ALEENA MEHMOOD, IRSA MEHBOOB and NEELAM BIBI
Rapidly increasing levels of waste management worldwide need more effective approaches to environmental protection and people’s involvement. This follows a systematic review to understand how game based interventions are designed, implemented and how they work on issues of waste management with regards to users’ behaviour change and knowledge. Thus, this study aimed to identify the methodologies, the target population, and the outcome of game-based approaches to waste management education published between 2010 and 2023. The analysis revealed the following features distinguishing effective multifaceted interventions: First, it should be noted that effective gamification implies the use of activity and presence in them of such components as role-playing or simulating for better users’ engagement and studying effects. Second, the ‘Patients and Public’ strategy focuses on offering interventions to specific populations like students and community people. Third, it is the actual reinforcement of the theoretical knowledge with incentives, which appear as actual rewards or competition, and they improve the impact of such games for sustainable WM practices. In line with the analysed studies, it can be stated that game-based interventions can enhance the knowledge, attitudes, and behaviours in subject matters in relation to waste management. It also became clearly seen that participants in these studies were made aware about the aspects of the wastes being produced, its reduction, recycling, and disposal. However, these interventions were associated with practice behaviours in the long-term, which form more sustainable practices in the community. Nevertheless, the review also indicates several that involves the lack of inter professional cooperation in the creation of games, and the lack of longitudinal research used to determine the effects of such interventions. In conclusion, the use of games in managing wastes can be deemed as a multifaceted positive tool in increasing people’s environmental literacy and fostering more responsible behaviours. Effectiveness of producing and distributing this sort of game needs more attention in future research by concentrating on the area of the game design, and extending the population base
Online voting system using face recognition
(UMT, Lahore, 2024) Muhammad Tazeem Sajid, Ghulam Mustafa, Hamza Mudassar and Sohaib Naveed

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