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Item Haaf Encrypter(UMT, Lahore, 2023) Hamna Waheed and Mohammad FahadCybersecurity is important since it safeguards against unapproved access, burglary, and obliteration of different kinds of information. This incorporates delicate or secret data, by and by recognizable data (PII), safeguarded wellbeing data (PHI), individual information, data connected with protected material, and data frameworks utilized by the public authority and organizations. Without a strong data security program, organizations are in danger of information breaks, making them an objective for digital assailants. To combat these threats, we developed a reliable key generation algorithm that will enable us to design an unbreakable cipher. We are also working on developing encryption techniques that make it difficult for hackers to decipher the code. To achieve this, we are implementing difficult-to-decrepit steps in our encryption process. This will make it harder for attackers to gain access to sensitive information and prevent data breaches. It's essential to take note of that online protection is a continuous interaction, and staying ahead of the latest threats and vulnerabilities is critical. We continuously evaluate and update our security measures to ensure that our customers' data is protected. By implementing robust encryption methods and key generation algorithms, we are working to provide the highest level of security for our customers' data.Item Pak property auction(UMT, Lahore, 2023) Syed Hamza Haider and Shawal Dawood Iqbal HashmiThe aim of this project is to develop a property auction application that allows sellers to list their properties for auction, and for bidders to bid on those properties. The app facilitates the bidding process by allowing bidders to place bids, and sellers to view current bids. The app also provides a secure and reliable way for bidders to verify the authenticity of properties using e-stamp numbers. The admin is able to manage and monitor the auction process. The app provides real-time updates on the status of auctions, such as current bids and winning bidders. The project is aimed to make the property auction process more efficient and convenient for both sellers and bidders.Item Root canal detection(UMT, Lahore, 2023) Arshman Shahbaz and Noor Ul Ain KhalidRoot canal is one of the most common diseases globally. X-ray images determine the initial diagnosis of a suspected root canal infection. Presently, root canal gets diagnosed by dentists by interpreting and observing X-ray images. There have been no proposed methods up till now using artificial intelligence. This solution is a benchmark for root canal detection using deep learning. This paper provides a fully automated solution for root canal detection based on X-ray images. The first module of this system uses generative adversarial networks to generate synthetic images to overcome imbalance and shortage of data. It first augments the minority class, which is passed to generative adversarial networks. It produces high-quality images which are indistinguishable by the discriminator. Ultimately, the results from generative adversarial networks are stored, and both classes are then passed to the classification module to classify them as either negative or positive. The positive class indicates that a root canal is needed while the negative class indicates root canal is not required. The classification module used pre-trained weights of the vgg-16 model. The results achieved with the overall combination were outstanding. The proposed model achieved validation accuracy of 96% and 100% on testing data. This solution can assist experts and students in the medical domain who are eager to learn and innovate.Item Urdu language OCR(UMT, Lahore, 2023) Muhammad Zaid Shahid, Faizan Iftikhar, Muhammad Usama and Haider RazaThe Internet has developed an unbelievable rate of speed up to this point. It has played a significant role in our lives. The level of living has changed because of the Internet's fast development and expansion. People who frequent our mall may get the best deals on items and have a wide range of options. People may quickly and easily discover the things they need to translate sometimes. This can significantly decrease risks and spend less time and energy with this method of doing translation. They are able to hear the pronunciation. Users first have to select or scan a file (image), then select language from one of the given languages of their desire, and hit the Convert button. Moreover, it also contains the pronunciation button to hear. The next step will be to select their desired output format to get the result with many more features. This project covers how users can convert an image containing text into simple text. Recognition of the text from a lingual image makes errors when processing high-quality documents if each character appears in different formats, fonts, or styles.Item AR Tryons(UMT, Lahore, 2023) Amna Imtiaz, Safi ur Rehman, Asad Ullah Awan and Mohammad AhsanIn the era of e-commerce, network virtual try-on has transformed online shopping by seamlessly blending physical product trial experiences with digital retail. This cutting-edge system focuses on precisely visualizing 3D objects, particularly eyewear, on a user's facial features. It initiates with the capture of facial images and depth data via a camera, followed by the application of face tracking techniques to pinpoint specific facial landmarks. These data are then used to optimize a 3D facial morphable model that impeccably conforms to the user's unique head and facial contours. Subsequently, chosen 3D objects are adapted to align seamlessly with the user's face, and the system meticulously projects and renders them onto the original image with exceptional precision and proper scaling. This approach yields remarkably realistic depictions, elevating the online shopping experience by enabling customers to virtually try on products with unmatched accuracy and authenticity.Item WeHAP(UMT, Lahore, 2023) Adnan Arshad, H.M. Zohair Ajmal, Fazeel Babar and Syed Turab Haider ZaidiWeHAP is an innovative application that utilizes machine learning and deep learning to provide quick and accurate results of medical tests. The application allows users to upload images of plants, and the system will calculate the chances of various diseases, including Plant Disease. The results are published within a few minutes, giving users the information they need to take action and seek medical attention if necessary. WeHAP is available on web and mobile platforms, making it easy and convenient for users to access. The application is designed to improve healthcare for everyone, and we believe that WeHAP is a step in the right direction towards that goal. The application is made with an aim to help the people related to agriculture field or farmers by providing them the results of chances of disease in plants.Item Web offensive security(UMT, Lahore, 2023) Syed Saqlain Raza and Usman MushtaqIt is important to create security for big systems in today's world of computers and technology. Our security tester will imitate authentic attacks against the security measures implemented by any given organization, which won't harm them in any way; instead, it will basically highlight the security measure's flaws. Through performing this, we will learn about the weaknesses of those safety protocols, allowing us to prepare to strengthen those weaknesses before a real cyberattack attacks the organization and causes harm or loss.Item Barberia-salon appointment booking system(UMT, Lahore, 2023) Tehreem Ashfaq, Maryam Ubaid and Hafiza DaheemSalons have shifted from the manual way of scheduling appointments to computerized systems as a result of the quick development of technology. The ease of using online appointment scheduling accounts for a large portion of its enormous popularity. The need to visit a salon and wait around for hours without knowing when their time would arrive is no longer necessary. Barberia is a mobile application for Android that has a user-friendly layout that allows users to search for appointments close to salons and view business profiles. It is an application that offers a wide range of features. Customers may quickly search among the various salons in their neighborhood using Barberia and select the one that best suits their needs. They can look through each salon's profile, which includes details about its location, services it offers, and client feedback. They are then able to make a well-informed choice and reserve an appointment that works with their tastes and timetable. Salon owners can use the app to manage their bookings and schedule, which is convenient for them. They may check forthcoming appointments and easily alter their availability. This simplifies the booking procedure and enables them to concentrate on offering their clients high-quality services. Barberia is a game-changer for the salon business overall, offering a simple and effective way for clients to make appointments and for salon owners to run their operations. With our everyday lives becoming more and more reliant on technology, Barberia is the ideal answer to satisfy the needs of both consumers and businesses in the current world.Item Beauty salon hub(UMT, Lahore, 2023) Samra and Muhammad ShoaibBeauty Salons have become an essential part of everyone's lifestyle in today's fast-paced world. However, many users encounter challenges when it comes to finding the perfect salon that caters to their specific needs. While some rely on well-known salon apps or the nearest establishments, others remain unaware of lesser-known salons' diverse services and products. This disparity creates hurdles for Salon Proprietors to launch their own apps and effectively advertise their businesses to bridge this gap and provide a comprehensive solution, we have undertaken the initiative of developing a sophisticated website that caters to the requirements of both customers and salon owners. Our platform will streamline the search process for customers and empower salon proprietors to showcase their services, thus fostering a thriving and interconnected beauty community.Item Emotion detection system using roman Urdu(UMT, Lahore, 2023) Haroon Abdullah and Abdul BasitEmotion detection plays a crucial role in our lives as individuals express their emotions through various means such as facial expressions, gestures, speech, and written text. This research project aims to develop an emotion detection system designed for Roman Urdu text (tweets and comments), a variant of Urdu written in Roman script. The main objective is to create a benchmark dataset comprising of 10,000 Roman Urdu documents which was carefully annotated with emotion classifications, including Happy, Sad, Anger, Disgust, Surprise, Fear, and Neutral, with intensity classifications of high, medium, and low for each emotion. The dataset also considers negation within the context of the neutral emotion. Several baseline algorithms, such as Support Vector Machines (SVM), Naive Bayes, Decision Trees, and Logistic Regression, are employed to train and evaluate the emotion detection models. The experimental results highlight that SVM achieves the highest accuracy in emotion classification, while SVM demonstrates superior performance in intensity classification. This benchmark dataset and the corresponding results provide valuable resources for further advancements in emotion detection for Roman Urdu text.Item Exam and result management system (ERMS)(UMT, Lahore, 2023) AAIRA AHMADThe Exam Result Management System (ERMS) constitutes a web-centric application meticulously crafted to enhance the efficiency of administering and disclosing examination outcomes. ERMS provides administrators with a user-friendly interface to input and manage academic parameters, automate result computation, and generate reports. Students can securely access their results, view their marks and grades, and track their academic progress. The system supports personalized result cards and automated notifications. ERMS also offers comprehensive reporting functionalities for administrators to analyze performance and make data-driven decisions. Overall, ERMS improves transparency, accuracy, and efficiency in the exam result management process.Item Memes world(UMT, Lahore, 2023) Syed Ali Akbar Shah, Muhammad Asad and Sher ZamanA meme is an idea, behavior, or style that circulates throughout society through imitation and frequently has symbolic significance, illustrating a particular situation or topic. The internet did not create memes. Memes World is a mobile-based application allowing memers to upload different kinds of memes and viewers to watch, like, and upload memes. No specific platform encourages this content, so memers are forced to post their content on social media apps such as Facebook and Twitter. The issue is that memers lack a distinct identity. Memers work all day, but they do not get fame, so we are providing a different platform where they can have their own identity as everyone will have its own profile. Meme World will be the source of entertainment. People will entertained each other by posting different kind of memes. There are many applications, but they only create memes, i.e., Meme Generator, Memasik, Meme design, and studio. A platform where users can create, watch, like, and upload memes.Item Online auction system(UMT, Lahore, 2023) Saba Chaudhary, Nimra Naeem, Daniyal Hussain and Faisal AkberAuction Master is desperately in need of special requirements and services for people, where they can sell and buy items independently instead of their physical appearance on a platform. People face some issues of time and difficulties, so they can use our services according to their needs. This project is based on php using laravel framework. There are 2 users in the project: bidders and sellers. Each can register as per their need. This project will help users to reduce their effort and challenges. This project will also send notification to our member arrival of the latest auction in which time and date will be mentioned. Users can bid easily after login to their account.Item E-Web scraper(UMT, Lahore, 2023) Ifra Iqbal, Aleena Ijaz, Bisma Imtiaz and Hamza HaiderA web scraper is a website that automatically extracts data from websites. It navigates web pages, retrieves HTML content, and extracts desired information. Web scrapers are commonly used for data collection, research, and automation tasks. Web scrapers are used to automate the process of gathering data from websites, saving time and effort in manual data collection. They enable businesses to gain valuable insights, such as market trends, competitor analysis, and customer sentiment. Web scrapers facilitate research by providing access to large amounts of data for analysis. They also support tasks like lead generation, monitoring website changes, and staying up-to-date with industry news. A web scraper starts by sending an HTTP request to a specific URL, requesting the web page's content. Once the response is received, the scraper downloads the HTML code of the web page. The scraper then parses the HTML structure, identifying and extracting the desired data. The extracted data is processed and transformed into a structured format like CSV. The scraper will be able to scrape data from selective websites and those with the domain of www only. The scraper can repeat this process for multiple pages, navigating through links or using pagination techniques to scrape data from multiple sources.Item APPAL(UMT, Lahore, 2023) SHAHRYAR IMRAN, MUHAMMAD HAMZA and ABDUL HANANIn response to the recent virus outbreak, we recognize the diverse impacts on individuals. Amidships these challenges, we are seizing the opportunity to foster economic inclusive through a pioneering web and mobile-based platform. Our vision is to unite buyers and sellers from varied socioeconomic backgrounds, creating a leveled playing field for all. This platform serves as a dynamic marketplace, where diverse needs find fulfillment and aspirations are met. Embracing equality, we aim to empower users by providing equal opportunities for success. As we navigate these transformative times, our commitment is to build a community that thrives on diversity, fostering connections that transcend boundaries. Together, let's forge a future where every individual, regardless of background, can flourish in the digital marketplace we are shaping.Item Readable doctor prescription with cam-scanner(UMT, Lahore, 2023) Aleesha Rafiq Khan and Rabia AbbasOur project is a generic recommendation system, which will be varying and increasing its accuracy with the passage of time. In this Project our aim is to provide a recommendation system service to the staff of a pharmacy, which people can use to make their experience a lot better on contrary to their experience with current service. To find a correct, low budget oriented and use friendly service is very important and required for users but it’s not a cake walk today as there are plenty of sources which are not among those which can be reliable. As of now current service from the staff are not able to meet the needs of people. Information mismatches have a great negative impact on the lives of people. To make a customized recommended application for imparting beneficial and powerful online services, we want mass reviews and updated data from online databases.Item Wireless electricity for IOT devices(UMT, Lahore, 2023) Muhammad Zeeshan Ali and Subhan AfrazEnergy transmission without connectivity is the movement of energy. Which made it easier to automatically repack items such as cell phones, PCs, and iPods, eliminating the need for complex connections and wires. A magnetic field is used to transmit short-range energy without the need for a connection. This magnetic field is produced by an inductive connection between fil Coil or a capacitive coupling between electrodes, both of which generate electrical fields. Direct induction and resonant magnetic induction are the two most popular methods for conveying energy without a filter. A magnetic flux is produced in the roles receptors connected to the central Coil by an inducting roll in direct induction. The flux produced in the primary Coil needs to be highly dense and frequency-dependent in order to transmit energy efficiently. Coil are utilized as electrical components in fil-free which illustrates the application of magnetic absorption via induction for fil-free energy transmission, is crucial to fil-free electrical systems. In order to guarantee that energy is efficiently distributed to the items over long distances without the need for cables, fill-free spools must be produced. One of the many benefits of fill-free electrical systems is the removal of electrical wires that link electrical devices to energy sources, which not only increases comfort but also enhances safety by reducing the risk of electrocution associated with electrical incidents and avoiding problems such as wire breaks, falls, and interruptions.Item Automated implementation of application privacy policies with multi-integrated systems(UMT, Lahore, 2023) Arslan Zafar, Qasim Ali, Talha Raza and Hafiz Muhammad Hamza Anees ButtIn this project, we aim to propose automated website that will receive customized orders for clothing products of his choice. We are geared up to fulfill their requirements and let them wear their dream clothes and supply them within the best possible time. It will be the online clothe selling platform in Pakistan. There will be a huge collection to choose the items for their order from the store product color, product quantity, and extra options according to their requirements. We would be implementing the development of the Python based Ecommerce web application. And deploying it to ec2 sever then would be performing containerization using Docker and furthermore, we would be creating CI/CD pipeline for the automation purpose. So that, the deployment of new updates become automated and single click based. At each phase, implementing the security policies and making it tuff against the web application attacks.Item Blind traveler(UMT, Lahore, 2023) Hamza Butt, Ali Raza and Syed Mehdi ul HassanBlind people are desperately in need of special requirements and services including the public transportation to give them the rights and ability to move smoothly and independently from one place to another. Visually impaired individuals will face many difficulties and one of the common difficulties is when they involve in self-navigating at an environment which is strange for them. This Project is android and python based. This project has 2 users i: e Admin and User. Each user has its own login and new users can be registered as well. This Project will help users to reduce their efforts and challenges. This project will also provide a notification to the user when the vehicle is arrived.Item Controlling PowerPoint using hand gestures(UMT, Lahore, 2023) Jawad Mustafa, M Ahmad Toor, M Zeeshan Anwar and Usama AbbasIn this era, technology has advanced significantly and had a huge impact on society. In today’s a successful person is one who has good presentation skills and knows how to present their ideas whether they are a student businessman or a worker in the company. So PowerPoint is the best and most effective way to present their presentation and the presenter can easily convey their idea and information to the audience. The presenter can move slides with the keyboard or with any other remote to present but the presenter has less interaction with the audience. So we aimed to control the PowerPoint presentation using hand gestures. This system helps the user control the PowerPoint with hand recognition and can easily change the slides without touching the computer or remote. This system helps the presenter to present their presentation in a more interactive and effective way and also the presenter can totally focus on their idea and forget the worry of changing the slides. Through this, a presenter can move around the room and easily interact with each person. On the other hand, controlling slides with hand gestures is far better than controlling with a remote. The system would use a good quality camera to capture the image of the presenter's hand and recognize it, then the action performs and slides move accordingly the action. This system uses a machine learning algorithm to perform tasks like moving slides next or previous, playing and pausing the videos, and zooming in or out.