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  • AI system for automatic article creation

    AI & Machine Learning
    I created an automation that transforms a short request or idea into a ready-made blog article. The system prepares the technical task itself, gathers relevant information from the internet, and generates a complete, structured text that is immediately published in Notion.

    How it works:
    the user provides a brief description of the topic;
    AI formulates a clear technical task for the article;
    automatically collects facts and context from the web;
    generates an SEO-optimized article with headings and lists;
    publishes the finished material in Notion.

    Result for the user:
    quick creation of quality content without manual work;
    articles with a logical structure and verified facts;
    savings of up to ~70% time on preparing materials;
    a convenient process from idea to publication.

    Tools: n8n, OpenAI (GPT-4.1), Perplexity API, Notion.


  • AI system for task creation in Notion from messages

    AI & Machine Learning
    I created an automation that transforms regular text messages into ready tasks in Notion. The user writes a message in free form — the system analyzes the text, generates a title and description of the task in Ukrainian, and adds it to the appropriate Notion database.

    How it works:
    the message is received via webhook;
    AI analyzes the content, determines the essence of the task and the responsible person;
    generates a short clear title and a detailed description;
    automatically creates a task in the corresponding Notion database.

    Result for the user:
    there is no need to manually format tasks;
    no important detail from the messages is lost;
    all tasks have a unified, neat format;
    convenient organization of work for the team.

    Tools: n8n, OpenAI, Notion, Webhook.


  • 338 USD

    N8N Workflows Parser с Semantic Search

    AI & Machine Learning
    Parser of open free n8n templates with vector embeddings generation for semantic search. The system extracts titles, descriptions, tags, workflow authors, and generates 384-dimensional vectors using sentence-transformers. The search works semantically rather than by keyword matching — it finds relevant results even when the query is phrased differently.

    Desktop GUI on PyQt: parser settings (pages count, rate limiting, user-agent), embedding generation, results table with relevance score sorting. Error handling for network timeouts and CloudFlare challenges. Export to JSON/CSV for database import.

    Raw data in downloads/, processed results in results/, embeddings in binary format for fast download. Custom similarity search on cosine distance with a threshold of 0.7.

    The result is semantic search in the n8n workflow database instead of manual browsing + the ability to use, copy, and work with these n8n templates.

    In the future, we plan to teach AI to read and learn the necessary templates for automation automation.


  • AI Resume Creator

    AI & Machine Learning
    This is a fully functional web application developed as part of a university project for the course "Fundamentals of Cloud Technologies." The application parses data from the specified GitHub profile (support for LinkedIn is planned in the future) and uses an AI-based system to generate a personalized resume in PDF format based on the provided information and user request.

    #web-programming #html #css #reactjs #TailwindCSS #nginx #azure #docker-compose #docker #Frontend #UI #UX


  • AI Automation Online Marathon with Learning System & Social Inte

    AI & Machine Learning
    I developed a complete online marathon platform for a psychologist, integrating AI, automation, and social channels. The learning system was built on Airtable, including automated task delivery, AI-assisted progress checking, and structured content flow.

    An AI support bot provided real-time help to participants during the marathon. The system was integrated across Telegram, Slack, and social media, ensuring a smooth user journey and client engagement throughout the program.


  • AI Automation Chatbot in Telegram with External Database Make.co

    AI & Machine Learning
    I built a smart AI fitness chatbot for Telegram, designed to guide users through class bookings, answer questions, and collect client data. The chatbot integrates with Make.com (formerly Integromat), where all business logic and automations are managed.

    The system connects to an external database via Make.com, ensuring scalable and dynamic data handling. An OpenAI-powered assistant handles natural conversations, providing intelligent responses tailored to the fitness studio’s offerings.


  • 1 USD

    Translation of the English article into Ukrainian

    AI & Machine Learning
    Example of my translation work. The text was taken from an English source and translated into Ukrainian. During the work, I tried to preserve the meaning and make the translation easy to understand.


  • Creating an image

    AI & Machine Learning
    Creating an image using AI


  • 68 USD

    Neural network for recognizing different types of insects

    AI & Machine Learning
    This project is aimed at creating a system based on neural networks for automatic insect recognition by their type. The main goal is to provide accurate insect classification for use in the agricultural sector, environmental monitoring, or scientific research.


  • The impact of music on mental health

    AI & Machine Learning
    Data Analysis & Predictions
    Using Python and data analysis tools, data preprocessing, exploratory data analysis (EDA), and visualization were performed to identify patterns in how people engage with music and its potential impact on mental well-being.


  • Moment For TikTok

    AI & Machine Learning
    A short funny video for TikTok


  • Horror Game

    AI & Machine Learning
    Preview for Horror Game