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Use of Artificial Intelligence in Human Resource Management

The integration of Artificial Intelligence into Human Resource Management processes presents an evolving domain of exploration and practical application. The widespread adoption of AI technologies presents the potential for significant transformations in products, innovation processes and business models. The research aim is to develop a framework for effective use of AI in Human Resource Management. The subject of the research is AI-based solutions in Human Resource Management. The object of the research is Human Resource Management processes in an enterprise.A multifaceted research approach was used to scrutinize the effective utilization of AI in HRM: Literature review, Case Studies, Employee Surveys, Interviews with HR experts.During this research, the author highlighted aspects of contemporary HRM that can be improved using AI technologies; made a list of the recommended practices for integrating AI-based solutions into HRM; developed a framework for AI tools implementation and found out that HR experts’ and employees’ overall perspective on AI within HRM appears optimistic.This research holds both theoretical and practical significance, driving advancements in theoretical knowledge, informing organizational practices, and shaping the future of work in the digital age.

Author: Ana Enache

Supervisor: Yulia Stukalina

Degree: Master

Year: 2024

Work Language: English

Study programme: Business and Management

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Development of web application for a gym

Bachelor's thesis is devoted to the development of a unique web application for a gym, which will be competitive in the Latvian market. Within the framework of the project, a web application is being developed, including a server part based on Python language, as well as a client part using such languages as HTML, CSS and JavaScript. The key features of the developed application are integration with artificial intelligence ChatGPT and integration with the third-party application Telegram. Artificial intelligence in this work is presented in the form of chatbot technical support and chatbot online trainer, as well as used to create individual training programmes for each client.The main goal of the work is to create a unique product that has no analogues in the Latvian market, which will significantly improve the experience of gym customers and contribute to the achievement of each client's goals. During the development process testing was performed, which confirmed the successful integration of all components of the application. Based on the testing results, recommendations for further development of the web application are offered.

Author: Andrejs Glušenoks

Supervisor: Olga Dribeņeca

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Computer Science

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Development of Project Management Assistance Software Enhanced with Generative AI Technologies.

This thesis explores the practical value of applying Generative Artificial Intelligence in project management software to enhance a manager's work. The aim is to evaluate the efficiency and impact of GenAI on project management processes. The research begins with a review of existing academic and industry literature on integrating AI in project management. This is followed by detailed case study analyses of instances where AI has been integrated into project management tools. The Software Development Life Cycle methodology is used to develop and test the software, incorporating a prototyping phase to explore and validate concepts before full-scale development.The results of this study include creating a GenAI-powered software that significantly speeds up the staff selection process for projects by matching project requirements with personnel skills. The findings indicate that the developed software effectively leverages GenAI technologies to enhance the project management process, simplify managerial tasks and contribute to more efficient and accurate decision-making processes. This research highlights the potential of GenAI to transform project management practices and drive future innovations.

Author: Pāvels Kulajevs

Supervisor: Aleksejs Vesjolijs

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Computer Science

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Web service development for the enterprise

The aim of the work is to develop a website for a car service in accordance with the functional and non-functional requirements of a company that previously did not have a personal website. This website should help the company attract new customers, as well as retain existing ones, thanks to a more detailed description of all services provided and a pleasant interface. One of the main goals of this work is: to examine and compare an internet site that was developed using the classical method and a website whose code was written using artificial intelligence, and to provide an assessment of certain results.To find out which features are useful and what customers really want to see on the site, a survey of potential customers was conducted.Analyzing the subject areas, web pages with similar functionality were analyzed and identified, as well as the initial requirements for the website.At the design stage, development tools were analyzed and selected, a preliminary page design was developed, use case diagrams, page navigation tree were created.Also, when the code was written, manual testing was done, as well as code testing in individual applications.After the work was completed and the code was written, certain tests and code reviews were performed. The code was then fixed.

Author: Radions Kasmausks

Supervisor: Boriss Mišņevs

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Computer Science

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Personal Information Management using Adaptive Information Systems

Nowadays people struggle to handle their personal information in an organized and efficient manner. In average individual consumes around 74Gb per day (Heim, 2017), which contributes to to information overload and limits the amount of information that the human mind can handle.Due to human uniqueness, all people have different information preferences. Adaptive Information Systems (AIS) is a relatively new direction of research on the crossroads of Information Science, Human-Computer Interaction and Artificial Intelligence. It is an alternative to the traditional "one-size-fits-all" approach in the development of Information Systems. Considering that Information overload is a user-personal problem, AIS allow involve an adaption process inside the information system activate reinforcement learning for building knowledge about the user’s behavior in information processing. As a next step collected knowledge AIS is used for performing self-adaptive changes inside the system with the final goal of reducing information overload.This study proposed a new way of handling and control information overload by using AIS, which is supposed to consider and adapt to user's personal experience in personal information processing.

Author: Sergejs Paškovskis

Supervisor: Boriss Mišņevs

Degree: Master

Year: 2024

Work Language: English

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