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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 a Decentralized Payment Platform Using Blockchain Technology for E-Commerce Applications

The present bachelor paper deals with a decentralized system based on smart contracts and Ethereum blockchain to facilitate payments in stable coins between customers and merchants. Defined requirements to e-commerce platform to integrate the platform, designed, implemented and tested the payment system solution based on blockchain technology.

Author: Aleksejs Korņejevs

Supervisor: Karina Kostjkina

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Computer Science

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Development of an information management application for a logistics company

The thesis "Development of an Information Management Application for a Logistics Company" analyzes information management systems in the logistics sector and proposes the development of a new application. The work includes an analysis of existing logistics information systems, determination of requirements for a new application, design of its architecture, development, testing, and user experience evaluation. The results show that the developed system has demonstrated its ability to improve management processes.

Author: Aleksejs Orlovs

Supervisor: Olga Dribeņeca

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Computer Science

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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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Application of machine learning in decision support system

The aim of the work is to improve the accuracy of predicting wait times in an existing queue management system using machine learning. Client-provided data was analyzed, and models were trained using various machine learning algorithms. Performance measures of the models were collected, and the best one was selected. Additionally, software and a database were developed to manage the training process and evaluate the quality of the models. The quality of the software was assessed using industry-standard methodologies and tested.

Author: Jevgēnijs Nikolajevs

Supervisor: Jeļena Kijonoka

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Computer Science

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