Telegram Bot
Purpose of using the API: To connect your program with the Telegram platform so it can send and receive messages.
How the API was used:
• Fetching updates (messages) from users.
• Sending responses or messages back to chats.
• Utilized the Telegram Bot API via HTTP requests or Python libraries such as python-telegram-bot or telebot.

Weather API Project
Purpose of using the API: To retrieve real-time weather data.
How the API was used:
• Sending requests to an external service (e.g., OpenWeatherMap API).
• Receiving responses in JSON format containing temperature, humidity, weather conditions, etc.
• Processing and displaying that weather data in my application (e.g., in a chatbot or a simple web app).

Telegram Bot (Web Scraping Eneba)
I created a Telegram bot that uses web scraping to collect product data (such as product name, price, and region) from the Eneba webshop. The bot scrapes this information directly from the website, making it easier for users to get the details without browsing the store manually.
Playlist Scraper (Web Scraping Spotify)
I used web scraping to collect song names from Spotify playlists. I extracted data directly from the website (or page source), which allowed me to automate gathering song information for further analysis or use.

Web scraping enables me to extract data directly from websites by parsing their HTML structure, making it useful when APIs are not available or when I need more control over the data extraction process.

I used Redis for caching weather data for 10 minutes. This helped to optimize repeated queries by storing the weather data temporarily, so that subsequent requests for the same data within the 10-minute window wouldn’t require a new fetch from the weather API, improving performance. The cache can be removed if it’s no longer needed.

Redis is great for use cases like this, where fast, in-memory data storage is needed to improve response times and reduce the load on external services.

I used MySQL to add a database to the Telegram bot. This allowed me to store and organize the data more efficiently, making it easier to sort and query the information, such as product details or user interactions. Using MySQL helped streamline data management and ensured the bot could handle and retrieve information quickly.

Used Python for building Telegram bots, automation scripts, web scraping, and API integration. It has been my main language for backend logic and data handling across multiple personal and freelance projects.

Worked with MySQL for database management in both WordPress and custom backend projects. Created queries, structured databases, and ensured secure data storage and retrieval.

Used PHP mainly in WordPress development for creating themes, customizing plugins, and handling server-side logic. Also used it to build dynamic components and integrate backend logic into existing CMS projects.

Created multiple websites using Elementor, Visual Editor, and various plugins. I configured SEO tools, contact form plugins, and optimization tools to improve performance, accessibility, and user experience. Each site was built with responsiveness and customization in mind.

Used to create and edit visual assets such as images, banners, and UI elements for my own projects. Canva helped me maintain consistent visual style and branding across platforms.

I used Git for version control and team collaboration. It allowed me to track changes in code, manage branches, and coordinate work with others.

Used for organizing tasks, managing deadlines, and ensuring smooth collaboration during project development.

Used GitHub to host, version, and collaborate on coding projects. I worked with branches, pull requests, and issue tracking to manage development workflows effectively, both solo and in teams.

My main IDE for Python development, especially in projects involving APIs and automation. I used features like intelligent code completion, debugging, and Git integration to streamline backend development.

Used for writing and editing HTML, CSS, JavaScript, and other web technologies. Its extensions, live server, and Git support made it my go-to editor for frontend tasks and smaller projects.

Created UI/UX designs, wireframes, and mockups for my web projects. Figma helped me plan out interfaces visually and share designs with collaborators before implementation.

Integrated Google Analytics into my websites to monitor user activity, bounce rates, and traffic sources. This data allowed me to optimize content and improve user engagement.

Used to generate realistic AI voiceovers for my automated YouTube Shorts project. Integrated into my Python scripts using the ElevenLabs API for seamless, automated narration.

Integrated ChatGPT API into projects to create intelligent assistants and content generators. Used for file search systems, chatbot responses, and script generation.

Used Notion for planning, note-taking, and project organization. It helped me track development progress, store code snippets, and document workflows in a clean, centralized space.