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AI-driven Voice Recognition: Model Development and Application

In the course of the work is decided to develop a speech recognition model with the application with the system assistant capabilities. The result of the author's work is a model that is capable of speech recognition on a limited set of words and the application that will be the prototype of the concept. The software is implemented using Visual Studio Code/Jupyter, Python programming language with big framework such as Keras. The developed software fully meets the requirements and is ready for operation.

Author: Aleksejs Ņikiforovs

Supervisor: Dmitry Pavlyuk

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Computer Science

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Development of Decision Support Tool for Transport Forwarding Company Operating within Netherlands and Italy

This paper investigates the development of a decision support tool for a Latvian transportation company operating in the Dutch and Italian markets. Models and algorithms for optimizing freight routes using Excel and Python are included. Digitalization of logistics processes is recognized as a key to improve efficiency and reduce costs. Two methods for solving the traveling salesman problem were examined and compared: Excel with Solver and Python with the NetworkX library.The methodology involved collecting data from Google My Maps, creating Excel spreadsheets, and developing Python software to automate route optimization. The results showed that both methods improved route planning, reducing time and cost, as well as reducing carbon footprint.The study emphasizes the importance of integrating technologies such as machine learning and big data into logistics to increase flexibility and adaptability. Recommendations were offered to further improve and implement these technologies for sustainable business development and increased competitiveness in international markets.

Author: Anastasija Škaduna

Supervisor: Berdymyrat Ovezmyradov

Degree: Professional Bachelor

Year: 2024

Work Language: English

Possibilities of logistics performance improvement in transport company

Logistics is the management of the flow of materials, information and resources from their place of origin to the place of their consumption in order to meet the needs of customers. This process shall include the planning, implementation and control of the efficient and economical movement and storage of goods, services and related information from the place of origin to the place of consumption.The main functions of logistics are:Transport: selection and management of vehicles for the movement of goods. This may include road, rail, sea and air transport.

Author: Jekaterīna Novikova

Supervisor: Aleksandrs Kotļars

Degree: Professional Bachelor

Year: 2024

Work Language: Latvian

The strategic planning features in case of the company's activity change on example of SIA ANTIKS PAINT.

This bachelor thesis analyses the strategic planning of Antiks Paint Ltd. and its impact on the competitiveness and financial stability of the company in the ship repair and construction industry. The thesis provides a theoretical insight into the meaning of strategic planning and its role in the development of the company, as well as analyses different methods of analysis.The study provides an in-depth analysis of the activities of Antiks Paint Ltd., including the company's background information, organisational structure and current strategic planning. The company's financial performance is thoroughly assessed and interviews are conducted with the company's management to gain a deeper understanding of the current challenges and opportunities.The third chapter of the thesis develops a strategic plan, which sets out concrete actions to improve the company's performance and competitiveness. The thesis concludes with conclusions and proposals based on the analysis, proposing solutions for sustainable growth and improvement of the company's market position.The result of this work is a practical strategic planning plan that will help Antiks Paint Ltd to improve its competitiveness and financial performance in a changing business environment.

Author: Jeļena Pavlova

Supervisor: Renāte Indrika

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Business and Management

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PREDICTIVE ANALYTICS FOR ONLINE CASINO REVENUE IN THE AUSTRALIAN MARKET.

This thesis investigates the influence of economic indicators and weather conditions on online slot machine gambling habits and revenues in Australia. By reviewing the interplay of GDP, CPI, and unemployment rates, the study uncovers their impact on gambling behaviors, revealing that a healthier economy boosts gambling expenditures while financial strain reduces participation. Weather's impact was minimal, likely due to the indoor nature of gambling. Predictive models, including Multiple Linear Regression, ARIMAX, and SARIMAX, were developed and evaluated. ARIMAX and SARIMAX models proved more accurate for predicting gross gaming revenue and winning bets, capturing seasonal and external influences effectively. This research provides insights for policymakers and industry stakeholders, emphasizing the need for localized studies to better understand these dynamics and improve strategic planning in the gambling sector. Future work should focus on expanding datasets and incorporating diverse economic and weather patterns to enhance predictive accuracy and industry applicability.

Author: Jānis Želannovs

Supervisor: Nadežda Spiridovska

Degree: Master

Year: 2024

Work Language: English

Study programme: Computer Sciences

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