ž.milvydas



Hobby Projects


OSRS Bot

2022



A bot for the game of Oldschool Runescape based on computer vision. Covers the majority of skills within the game and has no cases of bot detection to date. OpenCV is used to detect objects and colour contours within the game. Tesseract OCR is used to read any text needed (image to text). Human-like mouse movement is faked using randomised bezier curves.

Technologies used: Python, OpenCV, Tesseract OCR, Logging

Portfolio

2022

This website! Uses Django for the back-end, Bootstrap for the front-end and is hosted on a DigitalOcean VPS.

Technologies used: Python, Django, HTML, CSS, Bootstrap, VPS

Balcony Smoking Law Checker

2021



A web app that notifies users if a certain address gets included in a Lithuanian law, which prohibits smoking in balconies and terraces of apartment blocks. The official document gets periodically scraped using BeautifulSoup and the addresses are saved in a MySQL database. The addresses are then compared to the ones that have been entered by users and a notification email gets sent if a match is found. User e-mail data gets encrypted before storing in the database and decrypted before sending the notification. The website was built using Django and hosted on a VPS. (No longer hosted)

Technologies used: Python, Django, HTML, CSS, Bootstrap, Web scraping, SQL, Encryption, VPS

Bounce Game

2021



A game that I started developing in order to learn the basics of game development, C# and Unity. Main inspiration for the idea was the “Bounce” game on older Nokia phones. Basic custom models were made with Autodesk Inventor.

Technologies used: C#, Unity

Discord Bot

2020



A Discord bot written in Python with the following functions:

!random (item 1), (item 2), (item 3)... – choose a random item
!moneta – heads or tails
!pamarskomu – rock paper scissors against the bot
!pamarskomu su (username) - rock paper scissors against another Discord user

Technologies used: Python, VPS

Movie App

2019



A GUI app that shows currently trending movies and tv shows, detailed information on any movie or tv show and recommendations for them. TMDb and OMDb movie database APIs are used to get the required data. PyQT was used for the creation of the GUI.

Technologies used: Python, APIs, PyQT