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Development of a Cryptocurrency Trading Bot

"Development of a Cryptocurrency Trading Bot". This work focuses on creating a trading bot that utilizes a grid trading algorithm and integrates with the Binance API to automate trading in the cryptocurrency market. The bot was implemented using the Spring Framework and the Java programming language. It is deployed on an AWS EC2 instance via Elastic Beanstalk, providing REST API services. The development process included comprehensive testing and successful deployment on a server, ensuring the bot's functionality and reliability.

Author: Mihails Gaducevičs

Supervisor: Karina Kostjkina

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Computer Science

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The advantages and disadvantages of using green logistics in the European Union

The final work includes a complete description of green logistics, its implementation difficulties and advantages for logistics companies in the European Union. The thesis analyses the impact of green logistics on a company that has implemented it, calculating the efficiency gains and cost reductions. It also analyses the development of green logistics in Latvia and its manifestations. The study explains the benefits not only for the company that switches to greener logistics, but also the positive changes for the environment. The thesis consists of 4 parts, theoretical aspects, the advantages, difficulties and challenges during the implementation of green logistics and the practical part.

Author: Natālija Guseva

Supervisor: Genadijs Gromovs

Degree: Professional Bachelor

Year: 2024

Work Language: Latvian

Role of Social Media in Promoting Ecotourism

Keywords ECOTOURISM, SOCIAL MEDIA, PROMOTION, INDIAThe research aim is to assess the impact of social media on boosting ecotourism in India. The subject of the research is impact of social media on improving the attractiveness of ecotourism in India. The object of the research is ecotourism in India. Research objectives are as follows: to conduct theoretical analysis regarding the social media and their impact on promoting ecotourism; to conduct industry analysis regarding the ecotourism in India; to develop an empirical research methodology and complete survey and interviews regarding the impact of social media on ecotourism attractiveness; to provide recommendations for the managers involved in ecotourism aimed at improving the attractiveness of ecotourism by means of social media. The results show that there is a significant social media role in transforming the landscape of tourism, particularly in the context of sustainable tourism and ecotourism promotion. The social media inspire people to choose ecotourism if the content is engaging, visually rich and including practical information; they serve as a source of information providing details about destinations, available activities, accommodations and transportation options, and impact decision-making.

Author: Navjot Kaur

Supervisor: Yulia Stukalina

Degree: Master

Year: 2024

Work Language: English

Study programme: Business and Management

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Assessing the Viability of Natural Language Processing Applications within an Electronic Checklist
System for Freight Forwarders: Rule-based Information Extraction from Cargo Descriptions.

This study investigates the application of Natural Language Processing (NLP) within electronic checklist systems to enhance cargo description and securing practices for freight forwarders. The logistics industry faces significant challenges due to complex and varied legislation and the need for autonomous validation tools for cargo securing. This research aims to develop a rule-based Named Entity Recognition (NER) model to standardize and automate the extraction of entities from cargo descriptions. Key components of this study include the development of an entity extraction mechanism using regular expressions and standardized codes. The research demonstrates the potential of NLP solutions to generate precise, dynamic checklists from detailed cargo descriptions, ensuring that all pertinent tasks are covered. The developed NER model's effectiveness is evaluated through a series of experiments, showcasing high precision, recall, and F1 scores, thus highlighting its practical applicability in real-world logistics operations. The findings underscore the importance of standardizing cargo-related information to facilitate the broader adoption of automated NLP solutions in the logistics industry.

Author: Nikita Mickevičs

Supervisor: Dmitry Pavlyuk

Degree: Professional Bachelor

Year: 2024

Work Language: English

Small object search with RFID tags

This bachelor's thesis focuses on the development of a device for locating small-sized objects using RFID technology. An analysis of existing RFID technologies and their applications was conducted, which led to the selection of ISO 15693 and ISO 18000-3 standards for the development of the small-sized object locating device. Experimental results were obtained to study the detection capabilities of RFID tags under various conditions using the HBE-RFID REX setup. Structural, functional, and circuit diagrams of the device were developed based on the selected components: the TRF7970A RFID module from Texas Instruments, ID ANT310/310 antenna, ATXMEGA64D3 microcontroller, LM041L LCD screen, matrix 3x2 keyboard, LP9960115 battery, 2 LED indicators (red and green), and DC-DC buck converter (LM2596). Algorithms for the device's operation were developed for searching known tags, displaying saved tags, and searching for new tags, along with the corresponding software codes.

Author: Nikita Ostroveņecs

Supervisor: Aleksandrs Kraiņukovs

Degree: Bachelor

Year: 2024

Work Language: English

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