The Great Theater project solves this problem by creating a web application where users can quickly find and buy tickets for any theater or cinema in the country. The application shows all important details like the name of the play or movie, the theater, the city, the time, and the price on easy-to-use cards. This helps users book tickets without having to visit multiple websites or locations.

The project focuses on building this system using simple and modern web tools. A central database will store all event details, and the design will ensure the application is easy to use. The system will also include secure payment options and be able to handle many users at once.

This project aims to create a working application that makes it simple for people to buy tickets and enjoy cultural events. By connecting theaters, cinemas, and their audiences, Great Theater helps improve access to entertainment in Bosnia and Herzegovina.
]]> The methods and procedures involved in this project include the use of HTML, CSS and JavaScript for the front-end development, along with the jQuery library and the Single Page Application (SPAPP) framework spapp.js for dynamic content loading and navigation. The application fetches news articles from a MySQL database using AJAX requests and displays them in respective views. Additionally, it integrates with TheNewsAPI to fetch and display world news articles. User authentication is managed using JSON Web Tokens (JWT) stored in local storage, ensuring secure access to the application. The backend is developed using FlightPHP, and front-end design is enhanced using Bootstrap for responsive and modern UI components.
The result of this project demonstrates a functional news application that allows users to seamlessly navigate between different news categories and search for specific articles. The application dynamically loads content based on user interactions, providing a smooth and responsive user experience. The conclusion of this project highlights the successful implementation of a centralized news platform that meets the objective of aggregating and displaying news content efficiently.
]]> ]]> Frent's robust technology stack includes Java and Spring for backend development, MongoDB for data management, and React with TypeScript for a dynamic frontend. Docker ensures consistent and scalable deployments. The modular and well-documented architecture makes it easy to add or update features.
Looking ahead, the plan is to implement microservices to handle growth efficiently. Continuous user feedback helps prioritize new features and improvements. By focusing on maintainability, security, and user satisfaction, Frent aims to provide a reliable, user-friendly, and cost-effective movie renting service.
]]> ]]> The methods and procedures involved in this study encompassed a thorough analysis of existing inventory management practices and the design and development of a bespoke IMS. The system integrates real-time tracking, and data analytics to facilitate inventory control, demand forecasting, and procurement processes. Additionally, user-friendly interfaces were designed to enhance usability and accessibility across organizational levels.
]]> TanjirVise was developed using the .NET Core framework for the backend, React Native for the mobile client, and MS SQL server for the database. Key functionalities include user registration, authentication through login, creation of food requests, and their management and tracking. TanjirVise is deployed using Azure, precisely Azure App Service for backend deployment and Azure SQL Database for database hosting. Mailgun is integrated as an email service for email verification. It also implements JWT-based authentication and role-based authorization, guarding the system from unauthorized access and ensuring that only authorized users can access specific features.
TanijrVise shows how technology can be used to connect different things for mutual benefit, and the benefit of the community. By providing a platform for connecting restaurants with surplus food and socially disadvantaged groups, it offers a solution to two problems: it helps reduce food waste and supports those in need.
]]> ]]> ]]> ]]>
Through a comparative study of simulated data and real world IT service desk logs, this study identifies critical inefficiencies in ticket resolution workflows. The results are that priority-based ticket assignment, automated workload leveling, and predictive analytics yield significant efficiency improvements, reducing average ticket resolution time by up to 40% and improving user satisfaction ratings. Scenario-based performance evaluation also identifies staff shortage, ticket spikes, and lack of automation as primary drivers of backlog accumulation.

The findings of this study have practical implications for IT service management by providing data driven strategies to enhance operational performance. Future upgrades may involve real-time integration with live IT service desks, machine learning driven optimization models, and further automation of routine ticket resolutions.
]]>