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Item E-CHILD MONITORING APP(UMT,LAHORE, 2023) Ali Sher Azmat S2021052008 Rimsha S2021052002Every day, new technological advancements are made. Parents are concerned about the effects of increased access to technology on their children. Parents in Pakistan are understandably concerned about their children's online safety and therefore wish to keep tabs on their children's communication habits. To protect their children from the many dangers in today's world, we developed mobile phone tracking software for parents. Almost every teenager today uses an Android phone. We have created an Android app that constantly checks the kids' phones to ensure they are not getting into trouble. The program allows parents to track their kids' whereabouts, read their text messages, and listen to phone calls. This app was built with the help of the android studio program. To access the Firebase, we utilized the Google Firebase console. As a result, we created a mechanism to deal with all these variables and tested it extensively. The device's location services, messaging, call recording capabilities, application installation, and infant lock all functioned as expected. This program allows parents to monitor their child's location, phone activity, and text messages to find out whom they are talking to and where they are. If this app protects your child, he or she is safe from harm and can focus on their education without distraction.Item Hand Written Text Recognition(UMT,LAHORE, 2024) Muhammad AdeelThe Handwritten Text Recognition project pertains to the current problem, conversion of images containing written text into machine-readable formats, which can be modified, using the power of deep learning. Until now, Optical Character Recognition (OCR) was quite effective in most aspects, however recognition of handwritten stimuli still renders primitive. This is due to the extreme variability of individual handwriting, the degree of neatness and consistency of writing, and also the form of letters. This project sets out to overcome these problems by building a model of long short term memory networks (LSTM) and convolutional neural networks (CNNs) coupled with Connectionist Temporal Classification (CTC) for the identification and interpretation of handwritten text images. Aim of this project is to construct and deploy accurate and efficient high volume text recognition system, which would tolerate different handwriting styles. Input is a handwritten text image which is passed through several layers of a neural network in order to extract features and then those features are fed into CTC layer for generation of text. The model has been trained on various entities of handwriting for the period of its construction so as to make it effective on several hospitable writing styles and all their variants.Item HOSPITAL MANAGEMENT SYSTEM(UMT,LAHORE, 2024) Nimra Riaz F2020052031 Syed Muhammad Musa Zagam Naqvi S2020052008THE PREFACE IS THE MAIN INTRODUCTION OF THE DOCUMENT. IT IS OPTIONAL OR MAY BE REMOVED IF NOT NEEDED” Document presents development and implementation of a Hospital Management System using ASP.NET. The increasing complexity of managing hospital operations necessitates an Efficient and reliable system to streamline administrative and clinical functions. The Hospital Management System is designed to enhance the efficiency of hospital workflows, improve patient care, and facilitate effective resource management. The project covers various “aspects of hospital management, including patient’s registration, scheduling of appointment, medical records management, billing and reporting, with EMR and EHR”. It aims to provide a comprehensive solution that integrates these functions into a cohesive and user-friendly platform. This preface offers “a brief and detailed overview of the objectives, scope, and significance of the Hospital Management System project”. The following sections of the document will delve into the detailed requirements, system design, implementation, and testing phases, showcasing the methodologies and technologies employed to achieve the desired outcomes. This project has been “significant learning experience, providing practical insights into the development of complex web applications using ASP.NET”. We are confident that we Worked on it and now able to represent in front of all of you.Item Mr Scrap (Scrap Collecting System)(UMT,LAHORE, 2023) S H A H E E R A H M A D (S2021052003) HUMA MICHEAL (S2021052007)As falling behind in innovation, Pakistan is attempting turning into a computerized country is Identification Al. In the approaching time, all that will be accessible on the web, as we are getting progress in each area of learning. These days a moderate level of the framework can't get by without a legitimate administration framework, so this is a rich region to investigate where contest is expanding consistently and where there is rivalry there is dependably an open door. Thusly, we are fostering a framework for gathering scrap. It can assist in gathering with rejecting, will assist in reusing with handling, and makes the climate clean. The fundamental reason for our framework is that it can assist with gathering the piece of families, homegrown and ads effectively instead of then the conventional approaches to gathering scrap through seller, which yells around the roads. It is a time if innovation so Mr. Scrap (a simple approach to gathering scrap) portable application and site. In Pakistan, there is no frameworks like this except for in different nations like India; UAE, USA and so on utilize these frameworks to gather scrap. Thusly, we are fostering a framework in which a client can sell his/her family, business or modern piece in return of cash. This strategy is utilized in different nations so we are presenting this in Pakistan and there is no such framework, which gather, buy and sell scrap, which can be utilized in reusing cycle and assists the province with being spotless and affordable achievementItem THE PAC-MAN GAME(UMT,LAHORE, 2024) SYED MUHAMMAD AHMAD MUSTAFAMost of us are familiar with PAC-MAN. The basic rule is simple: the player-controlled character must eat all the pellets in the maze while avoiding being caught by the ghosts, which move automatically. The outcome of the game heavily relies on an efficient AI (Artificial Intelligence). The objective is to eat as many pellets as possible in the least amount of time, which requires selecting the shortest paths to reach them.