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Tétel Korlátozottan hozzáférhető Building a User-Generated Web ApplicationAbdelaal, Nourallah Mohammad Refaat Mohammad; Vágner, Anikó Szilvia; DE--Informatikai KarThis thesis centers on the development and implementation of an online platform. It covers a comprehensive study of the user-generated web application from its concepts to implementation. The application offers user-friendly login and signup procedures, which enable individuals to share their creative ideas online. The platform accommodates various visual arts, spanning graphic design and related digital media. It empowers artists to create their portfolios, gain visibility, and engage with a community of like-minded peers. In addition, the website prioritizes user engagement and interaction by giving users the ability to post pictures and follow and unfollow each other. The application integrates backend technologies with dynamic front-end interactions, providing an engaging and accessible platform for artists and designers. Through the implementation of Java, Spring Boot, and other web technologies, the project showed significant challenges in user experience design and functionality.Tétel Korlátozottan hozzáférhető An overview of classical and modern cryptosystemsAl Sabbagh, Samah; Herendi, Tamás; DE--Informatikai KarMy thesis is an overview about cryptography and its importance in our digitalized world. it includes details of: -A breif history about crytpgraphy and cryptosystems and how they evolved through out the years. -Information protection using some cryptographic techniques. -Cryptosystems, crytpo algorithms and their classifications. -Hashing, digital signatures and how these terms are crucial in safeguarding data. -Cryptocurrency and its relation to cryptography. -Post-quantum cryptography, and the reason of its existence.Tétel Korlátozottan hozzáférhető Natural Language Processing(NLP) Based On Generative AI Using TransformersKhan, Dawood Ahmad; Tóth, Erzsébet; DE--Informatikai KarThis thesis delves into the forefront of Natural Language Processing (NLP) by leveraging cutting-edge Transformer models. Through the utilization of technologies like PyPDF2, python-dotenv, faiss-cpu, Streamlit, and Langchain, a robust NLP framework is constructed. Langchain serves as the cornerstone, enhancing both language generation and comprehension. PyPDF2 facilitates seamless integration with PDF documents, while python-dotenv ensures secure management of environment variables. By combining state-of-the-art libraries with transformative AI models, this study showcases the profound impact on document processing, virtual assistants, and beyond, pushing the boundaries of NLP towards more natural and dynamic interactions.Tétel Korlátozottan hozzáférhető Transition from Monolithic Architecture to Microservice ArchitectureShabaik, Mohamed Mahmoud Moustafa Aly; Vágner, Anikó Szilvia; DE--Informatikai KarRepresents a Case Study of building a Microservices Web Application using .NET framework and Docker. Offers the foundational context behind transitioning from a monolithic architecture to microservices architecture. Dives deeper into the challenges inherent in transitioning towards a microservices architecture. It comprehensively explains both architectural paradigms, analyzing their respective strengths, weaknesses, and fundamental disparities. Focused on areas within the microservices, and the process was relatively straightforward, encountering no new challenges beyond those anticipated.Tétel Korlátozottan hozzáférhető Analysis of an Internet of Things System in Virtual Network EnvironmentAl-Shaebi, Daef Jaber Yahya Hussin; Gál, Zoltán; DE--Informatikai KarThe passage explores the significant impact of the Internet of Things (IoT) in various industries, underscoring its revolutionary role in healthcare, agriculture, manufacturing, and urban development. IoT technology integrates smart devices that can independently communicate and process data, improving effectiveness and accessibility. In the healthcare sector, IoT facilitates remote monitoring and early disease detection, while in agriculture, it enables precise farming and efficient resource management. Manufacturing reaps the benefits of IoT through intelligent factories that enhance production efficiency and quality. Urban development experiences advancements with IoT in smart city infrastructure and intelligent transportation systems. Nevertheless, implementing IoT comes with challenges, such as managing vast amounts of data and ensuring network reliability. The writer, a computer science graduate, displays a keen interest in IoT, particularly in overcoming these challenges through virtual network environments and machine learning. The goal is to enhance the efficiency and practicality of IoT.Tétel Korlátozottan hozzáférhető Analysis of Text Corpuses From Linguistic Aspects Using PythonKhalid, Abdullah; Tóth, Erzsébet; DE--Informatikai KarNatural Language Preprocessing (NLP) tasks like sentiment analysis and text classification have gained popularity as techniques to estimate investor sentiment towards a certain stock. This study performs a stock sentiment analysis using textual data from Reddit related to the TSLA stock. It employs a degree of machine and deep learning algorithms to train a classifier model for multi-class classification of the text sentiment, incorporating novel techniques for sentiment reproduction. Additionally, the study investigates the impact of data preprocessing techniques such as undersampling and tokenization on the performance of the sentiment analysis model, providing insights into the effectiveness of these methods in handling imbalanced textual data. The research also explores the influence of machine learning on discerning stock market sentiment, interpreting its ramifications on investor behavior and market dynamics.Tétel Korlátozottan hozzáférhető Developing an engaging website: Combining technical and digital user-centered design strategiesAhlach, Soukaina; Bujdosó, Gyöngyi; DE--Informatikai KarThis thesis delves into the development of an engaging website focusing on digital user-centered design strategies encompassing interactive environment, user interface scenography, interaction design, and user experience design principles. The primary objective is to create a platform that represent a virtual wardrobe for users that is grounded in these principles. This innovative approach not only simplifies the process of outfit selection but also promotes sustainability and addresses the challenges posed by the fashion industry. Overall, the thesis presents a comprehensive and relevant exploration of web design and user experience, emphasizing practical utility and modern digital solutions.Tétel Korlátozottan hozzáférhető CodeDOG - Automated Feedback and Assessment for Programming AssignmentsBasta, Bakhomious Guirguis Moez Aziz; Jeszenszky, Péter; Tóth, Róbert; DE--Informatikai KarThe aim of this paper is to provide an alternative approach to automated feedback for programming assignments using various technologies. After analyzing the existing solutions, to name a few: ProgCont, HackerRank, check50 and Moodle CodeRunner. The experience was unsatisfactory, ranging from problematic setups, limitations, back-doors and financial difficulties. With the help of the existing platform CoDExe, we were able to add the support of providing feedback to C programming assignments. Diving to the root of programming languages concepts, the proposed solution was to use Grammars. The usage of Grammars would grant us syntactical and lexing analysis without running the source code, it comes with the power of parsing trees. In conclusion, we provide our feedback based on multiple approaches instead of one; mainly focusing on the usage of ANTLR and clang, with which we achieved satisfiable results after testing.Tétel Korlátozottan hozzáférhető Predictive data analyticsNguyen , Tuong Minh Khue; Tomán, Henrietta; DE--Informatikai KarIn today’s data-driven world, the financial sector is a bastion of information and the repository of countless transactions, interactions and decisions that together shape the financial destiny of the economy and individuals. In the complex business environment of this industry, the origination and management of loans are cornerstones. The approval of loans is influenced by a range of factors that impact both the economic environment and, more significantly, the lives of individuals.. The allocation of credit resources reflects in many ways broader dynamics of wealth distribution, economic growth, and financial stability. This thesis examines the application of statistical algorithms and machine learning techniques in financial loan evaluation. The study focuses on historical credit data and aims to build predictive models for credit approvals and denials. The study aims to streamline lending processes, fortify risk management, and enhance decision-making in banking institutions. By leveraging diverse predictive modeling approaches, the research seeks to contribute to more efficient, transparent, and equitable lending practices, emphasizing the ethical implications of data analysis in the financial sector.Tétel Korlátozottan hozzáférhető Design and development of a 3D RPG game using UnityJiang, Binxu; Kruppa, Kinga Tünde; DE--Informatikai KarI chose 3D game development in Unity as the topic of my thesis. Unity is a video game engine that makes it easy to design and create 2D and 3D games. With its help, we can create different animations, effects, and behaviors in our game. I am familiar with RPG games and have a great interest in this field. So I developed a 3D RPG game, and in my thesis, I introduced the RPG game, the Unity engine, and the process of the game development in detail.Tétel Korlátozottan hozzáférhető Enhancing Promotion and Success of yoUDay through Effective Website Development and Digital Marketing StrategiesHashmi, Arhum Ahmed; Bujdosó, Gyöngyi; DE--Informatikai KarThe thesis explores the intersection of website development and digital marketing strategies in the context of yoUDay, a prominent cultural event in Hungary. Through a mixed-methods approach, the study investigates current strategies, identifies improvement areas, and proposes recommendations for optimizing digital engagement. The research aims to enhance yoUDay's visibility and success by leveraging user-centric design and strategic digital marketing. The significance of the study extends beyond yoUDay, offering insights for event organizers and marketers in Hungary. The findings contribute to the evolving landscape of event promotion, emphasizing the importance of effective digital strategies in fostering community engagement and ensuring event success in the digital age.Tétel Korlátozottan hozzáférhető Enhancing the Automated Classification of Dermatological Images by Considering Skin ToneMuyera, Shalom Afwande; Tóth, János; DE--Informatikai KarThe field of dermatological image classification has greatly advanced by adopting Machine Learning and Artificial Intelligence. However, it faces some challenges and gaps, such as a lack of diversity in classification models, which leads to misclassification and a lack of efficiency. This research aims at enhancing the correct classification of dermatological images by considering skin tone diversity. A combination of the Fitzpatrick 17k and DDI datasets is used and because of their diversity, transfer learning using EfficientNetB0 is the preferred classification model. Two machine-learning models are created, trained, and tested using images from different skin tones, and the results are evaluated.Tétel Korlátozottan hozzáférhető Comparative Study of Deep Learning Models for Schizophrenia Classification from fMRI ImagesSarkar, Juliet Polok; Hajdu, András; DE--Informatikai KarThis thesis investigates the effectiveness of five deep-learning architectures for medical image classification (Schizophrenia). The COBRE dataset was used to train and evaluate the models. The outcomes demonstrated notable differences in performance, with high accuracy rates being attained by CNN models. While the CNN-LSTM hybrid model and the enhanced CNN model demonstrated encouraging performance, hardware constraints must be taken into account. The research highlights how crucial it is to choose the right deep-learning architectures for tasks involving the classification of medical images.Tétel Korlátozottan hozzáférhető Video Streaming PlatformHaidar, Hisham; Vágner, Anikó Szilvia; DE--Informatikai KarIn the realm of web application development, video streaming services have emerged as a cornerstone of digital media consumption. This thesis delves into the creation of a video streaming platform, designed to echo the functionality of industry giants like YouTube. The project’s journey from conception to fruition is chronicled, beginning with an extensive analysis of existing services, followed by the meticulous crafting of system requirements and the strategic design of a MongoDB database schema. The implementation phase saw the harmonious integration of backend technologies such as Java and Node.js with modern frontend frameworks like React, culminating in a seamless user experience. Key features implemented include video uploading, streaming, likes, tracking, commenting, and robust user authentication mechanisms. The platform underwent rigorous testing to ensure stability and performance, with subsequent deployment on a carefully selected web hosting service. This thesis encapsulates the challenges surmounted and the knowledge gleaned, serving as both a testament to the transformative power of web technologies and a beacon for future explorations in the domain of video-sharing platforms.Tétel Korlátozottan hozzáférhető Nomad Trails PlatformKydyrbekova, Kaniet; Vágner, Anikó Szilvia; DE--Informatikai KarThe project's goal was to build an online platform for the travel and tourist field in Kyrgyzstan. It has a user-friendly interface that meets the various needs of both local service providers and tourists. Using frameworks such as Spring Boot, the project made use of database administration, architectural patterns, and backend development. The portal provides users with a simple to operate and smooth way to discover the cultural assets of Kyrgyzstan. The project also focused on supporting the expansion and success of regional companies within the tourism sector, contributing to the overall economic growth of Kyrgyzstan. Through continuous evaluation and optimization, the platform aims to evolve and adapt to the changing needs and preferences of its users.Tétel Korlátozottan hozzáférhető Improving the communication inside Muslim communities in EuropeSaleh, Khaled Mohamed Galal Abdo; Major, Sándor Roland; DE--Informatikai KarThis thesis describes the development of a mobile application designed to boost community engagement within mosque communities. Users can access information about various mosques registered on the platform, including prayer times, messages, FAQs, and descriptions. They can also subscribe to different mosques to receive notifications and stay connected with their mosque community. Mosque imams, who manage their respective mosque profiles, have full control over updating and maintaining their information. The application is intended for deployment in Hungary and other European countries, and to accommodate diverse users, it is available in three languages: English, German, and Hungarian.Tétel Korlátozottan hozzáférhető Predictive Data AnalysisHoang, Quoc Anh; Tomán, Henrietta; DE--Informatikai KarThis thesis is focusing on market analysis and the application of machine learning techniques to predict movie genres of a specific streaming service. The primary objective is constructing predictive classification models that can accurately forecast movie genres based on their given descriptions. These models are then evaluated using various metrics to assess their performance and understand their limitations. The ultimate aim of this study is to gain a deeper understanding of how these predictive models function, providing valuable insights for future reference and applications. Additionally, the insights gained from this study could potentially be applied to other domains within the entertainment industry.Tétel Korlátozottan hozzáférhető Web scraping web applicationAlimi, Shukrah Adekumbi Ozohu; Jeszenszky, Péter; DE--Informatikai KarThis thesis encompasses the process of building a Java web scraping application heavily targeted towards users regardless of technology level. The application provides a platform for users and gives them the ability to create accounts, log in, and use the seamless application command line to extract data from websites. Users can register on the web app and quickly gets the data they need in a structured format. This app can be used to look for changes in prices and availability in web shops, and other interesting applications e.g., news updates from web pages, job applications and openings, etc. This thesis project can be material for users who regularly need specific or targeted information from the internet, or for readers who want to learn and understand the fundamental parts of building a Java-based web scraping application.Tétel Korlátozottan hozzáférhető Quiz Maker Web Application DevelopmentFarkas, Fruzsina Diána; Vágner, Anikó Szilvia; DE--Informatikai KarThis thesis aims to describe the process of developing a full-stack web application from start to finish. The key implemented features include creating, browsing, and filling out quizzes. The JavaScript-based client-server structure is defined using Node.js and Express.js for the backend, and Next.js as the frontend framework to provide the needed functionalities. Redis and PostgreSQL are the chosen persistent data storage solutions. The application implements various CRUD operations on the backend side, as well as features related to authentication. The frontend provides access to the logic of the application through a stylish and responsive layout. Additionally, topics such as testing and deployment are also addressed.Tétel Korlátozottan hozzáférhető Smart Home AutomationAit El Qadi, Mohammed; Herendi, Tamás; DE--Informatikai KarThe development of smart home systems integrating Internet of Things (IoT) devices and machine learning algorithms represents a significant advancement in residential automation. This thesis report presents a comprehensive study on the design, development, and evaluation of a Smart Home Automation platform. The research focuses on creating an IoT-based system capable of seamlessly integrating various devices, such as sensors, lighting, and smart appliances, to enhance automation and energy efficiency within modern homes. Key components of the study include the selection of sensors and actuators, hardware setup, mobile application development, and machine learning model implementation. The report delves into the system architecture, performance evaluation of the smart home prototype, analysis of the mobile application functionality, and evaluation of the machine learning model. Findings from the study contribute valuable insights to the field of smart home technology, emphasizing achievements, limitations, and future directions for research and development.