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Website Development for Advertisements for Rental and Sale of Real Estate

The purpose of the work is to develop a website for real estate agents and potential buyers, with the ability to publish advertisements for rental and sale of various properties. The objective of the work is to show the knowledge and skills that were acquired through the studies in the TTI (Transport and Telecommunication Institute).In this work were used the following methods:1. Analyzation of the subject area Real Estate;2. Analyzation of existing analogs;3. Design and development of data base, data access, business service, client, and server parts of the web application;4. Quality control.As the result of the work were made the web application for real estate agents and potential buyers was made, where the users can read the description, upload, modify and delete the advertisements. Was created the authentication on the website. Was created the data base of the website to store all of the information about advertisements and users.As the conclusion of the work all of the functional requirements for the website were made, full development cycle of the project was utilized and all of the errors that were raised during the work were fixed.

Author: Aleks Eglītis

Supervisor: Karina Kostjkina

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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Improving the accuracy of optical character recognition of stone engravings using image pre-processing methods

This study focuses on the development of preprocessing methods to improve the accuracy of Optical Character Recognition (OCR) for stone engravings. The primary goal is to enhance the precision of widely used OCR tools, particularly for texts engraved on stone surfaces, which present unique challenges that differ from traditional OCR applications. Emphasis is placed on developing image preprocessing methods as a software product. Customized image manipulation scripts were used to improve recognition accuracy and address issues such as contrast, alignment, noise, and resolution. The preprocessing stage was integrated into the workflow designed for image transformation before OCR processing. Subsequently, the recognition improvements were evaluated based on text similarity metrics analysis. Iterative text recognition and repeated recognition of images after applying preprocessing demonstrated significant improvements in OCR accuracy. This work provides a solid foundation for further enhancement of OCR workflows by employing adaptable preprocessing techniques specifically designed for particular problem areas, achieving higher precision in text recognition.

Author: Romans Urbans-Orbans

Supervisor: Aleksandrs Grakovskis

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Computer Science

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Development of a Cryptocurrency Trading Bot using AWS
Cloud Solutions

This bachelor thesis focuses on developing an automated trading bot for the cryptocurrency market. The goal is to create a cryptocurrency trading bot using of the Mean Reversion strategy and implement Cloud Solutions and Binance crypto exchange support.The process of development included establishing AWS infrastructure, such as EC2 instances, API Gateway, and Nginx, for hosting the bot. The bot's design is made up of separate modules that can be easily expanded allowing for adding the support of other crypto exchanges. As the result, the bot uses mean reversion algorithm on user chosen trading pairs, and places the order to sell or buy according to the algorithm decision. Moreover, it uses Binance API to access and manage user's cryptocurrencies.The bot was successfully tested in a real trading environment and proved to increase initial capital and manage risks. This thesis showcases the possibilities of combining

Author: Ēriks Mašinskis

Supervisor: Karina Kostjkina

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Computer Science

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