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Development of a Presentation Generation Web Service Using AI Language Models

This bachelor's thesis presents the development of a presentation generation web service using AI language models. The application integrates APIs such as OpenAI for text generation, Pexels for image retrieval, and Google Slides for presentation creation, providing a comprehensive tool for generating high-quality presentations and videos. The backend is built using Flask, and the frontend uses React, ensuring a seamless user experience. Key features include user authentication, state management, and dynamic content generation.The project involved analyzing existing AI-powered presentation tools, developing the web service with frontend and backend technologies, and integrating various APIs to enhance functionality. Rigorous testing ensured stability, efficiency, and user-friendliness. The resulting application can generate high-quality presentations and convert them into engaging videos with minimal effort.This thesis demonstrates AI's potential in enhancing digital content creation, offering significant improvements in efficiency and user engagement. The developed web service provides a valuable tool for users needing to quickly create professional presentations.

Author: Igors Pticins

Supervisor: Aleksejs Vesjolijs

Degree: Bachelor

Year: 2024

Work Language: English

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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