Development of an Online Hotel Reservation System in Sri Lanka using Cutting-Edge Technologies

The hotel management system is an important aspect of contemporary hotel life since it assures the hotel's correct operation, making it efficient and enabling the opportunity to reserve a room online. It contains information on the rooms and the hotel as a whole for the staff and administration. This technology eliminates the majority of the paperwork, making it a must-have tool for any modern hotel. The present reservation system is analyzed and improved. The purpose of this paper is to offer a thorough examination of the system. Make an effort to enhance the existing condition in the hotel management industry. In addition, a modest prototype built using cutting-edge technologies MongoDB, Express.js, React.js, and Node.js (MERN stack) will be discussed. This will showcase how the system would operate from the client and administrator sides. The MERN stack is an excellent choice for hotels wishing to develop high-quality web applications. In fact, this stack enables the rapid development of online applications and software in addition to leveraging high-performance and customized technologies. The mentioned system was shown to be significantly more affordable, an open-source program with superior performance, and UI rendering by using these technologies. In addition to assessing the value of an online reservation system for Sri Lanka's hotel industry, this paper will examine how the environment's components should be set up, integrated, and built, as well as how the requirements, design, construction, and test phases of the application development lifecycle should be combined to create an overall system and how a developer would actually go about creating applications that would be used in practical situations

Harnessing Knowledge-Based Concepts for Streamlined Mind Mapping in Academic Study

The main goal of this research project is to build and implement a knowledge-based system that will produce more accurate and significant mind maps from textual input. This study suggests the creation of a knowledge-based system devoted to mind map construction, as opposed to current text mining algorithms and machine learning techniques, which might not be able to properly capture the semantic subtleties of input material. The suggested system aims to reduce the constraints of conventional techniques by incorporating domain-specific information and rules into the analytical process. The accuracy and relevance of the produced mind maps are projected to improve with the addition of this knowledge. This project's main objective is to build a knowledge-based framework that overcomes the limitations of the existing text mining and machine learning approaches, resulting in more sophisticated and theoretically rich mind maps from textual data