Данная работа посвящена описанию процесса разработки ML-модуля проекта TaskMaster. Проект представляет собой менеджер задач, реализованный на базе телеграм-бота, и предоставляющий пользователям функции автоматической донастройки задач с использованием технологий машинного обучения. В рамках ML-модуля TaskMaster была разработана модель для классификации задач на предустановленные категории, а также алгоритм обращения к модели YandexGPT для генерации названий и описаний задач, состоящих из длинного текста. .

This paper is devoted to the description of the development process of the ML-module of the TaskMaster project. The project is a task manager implemented on the basis of a Telegram bot and provides users with the functions of automatic task fine-tuning using machine learning technologies. Within the ML-module of TaskMaster, a model for classifying tasks into preset categories was developed, as well as an algorithm for invoking the YandexGPT model to generate names and descriptions of tasks consisting of long text.

• CHAPTER 1. PROBLEM ANALYSIS
• 1.1 IN-DEPTH INTERVIEW: METHODOLOGY
• 1.2 IN-DEPTH INTERVIEW: RESULTS
• 1.3 VARIOUS GOALS AND APPOINTMENT OF SYSTEMIXZATION AND PLANNING
• 1.4 THEORETICAL DIVISION BETWEEN VARIOUS MEDIUMS OF SYSTEMIZATIONA ND PLANNING
• 1.5 TASKMASTER AS UNORTHODOX REPRESENTATIVE OF MEDIUM FOUR
• 1.6 APP MARKET FOR TASK RECORDING
• 1.7 COMPETITION
• 1.8 TARGET AUDIENCE ANALYSIS
• 1.9 PROBLEMATIZATION
• 1.11 MACHINE LEARNING IN TASK MASTER: ANALYSIS OF POSSIBLE SOLUTIONS
• 1.12 CONCLUSIONS FOR CHAPTER 1
• CHAPTER 2. CONCEPTUAL ANALYSIS OF TASK MASTER’S ML BLOCK
• 2.1 GOALS
• 2.2 TASK MASTER’S PROJECT REVIEW
• 2.3 REVIEW OF THE TASKMASTRE’S MK MODULE
• 2.4 CLASSIFIER
• 2.5 FUNCTIONAL REQUIREMENTS
• 2.6 GENERATOR
• 2.7 SCENARIOS FOR USING THE SYSTEM
• 2.8 SECTION CONCLUSIONS
• CHAPTER 3. TASKMASTER ML BLOCK: DEVELOPMENT
• 3.1 PURPOSE OF THIS SECTION
• 3.2 DEVELOPMENT TOOLS
• 3.3 TECHNOLOGY STACK
• 3.4 DATA PREPARATION
• 3.5 MODEL DEVELOPMENT
• 3.6 APPLICATION OF THE MODEL: API DEVELOPMENT
• 3.7 IMPLEMENTATION OF GENERATION OF TASK NAMES AND DESCRIPTIONS
• 3.9 DESCRIPTION OF MVP
• 3.10 TESTING
• CHAPTER 4 ECONOMIC JUSTIFICATION FOR THE WORK
• 4.1 PRODUCT DESCRIPTION, COMPETITIVE ADVANTAGES
• 4.2 MARKETING PLAN, PRODUCT SALES, PROMOTION STRATEGIES
• 4.3 MARKETING STRATEGY
• 4.4 SALES PLAN, CALCULATIONS OF POTENTIAL EXPENSES AND INCOME
• 4.5 RISK ASSESSMENT AND INSURANCE, POSSIBLE DIFFICULTIES AND WAYS TO SOLVE THEM
• CHAPTER 5. ASSESSING THE SAFETY AND ENVIRONMENTAL FRIENDLINESS OF WORK
• 5.1 ASSESSING THE TECHNOLOGICAL SAFETY OF THE DESIGNED INFORMATION SYSTEM AND TECHNOLOGY
• 5.2 DEVELOPMENT OF LABOR PROTECTION MEASURES WHEN CREATING COMPUTER SOFTWARE AND AUTOMATED SYSTEMS
• 5.3 DEVELOPMENT OF OCCUPATIONAL SAFETY MEASURES WHEN USING COMPUTER SOFTWARE AND AUTOMATED SYSTEMS
• 5.4 DEVELOPMENT OF ENVIRONMENTAL PROTECTION MEASURES WHEN CREATING SOFTWARE
• 5.5 CALCULATION PART
• CONCLUSION
• LIST OF INFORMATION RESOURCES USED