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DEGREE

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YEAR

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Title Supervisor Degree
Bachelor 2024
Faculty: Engineering Faculty

Study programme: Computer Science

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Bachelor 2024
Faculty: Engineering Faculty

Study programme: Computer Science

More...

Bachelor 2024
Faculty: Engineering Faculty

Study programme: Computer Science

More...

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 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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Research on Software Development Aspects Using node.js Technology

To explore the aspects of software development, an application was created using Node.js and NestJS to build a REST API. This API integrates Google Natural Language AI to analyze submitted user reviews. The application includes multiple REST API endpoints that can process, analyze, and aggregate user review data. Performance measurements were conducted, analyzing event loop latency, memory and CPU usage, and other key metrics. MongoDB was used for data storage. The work also includes API and its performance evaluation. The system was tested to ensure it meets the set criteria and provides practical application.

Author: Valērijs Sergejevs

Supervisor: Mihails Savrasovs

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Computer Science

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