Hey, I'm Bartek

A comprehensive web-based D&D companion featuring player character management, DM tools for encounter tracking, a chess puzzle encounter with Omnivax, and The Wild Beyond the Witchlight campaign guide. Includes HP tracking, spell slots, enemy management, and detailed campaign information.

An interactive web application for tracking climbing training workouts on a hangboard. Features multiple workout modes including fixed sets, max reps test, EMOM (Every Minute On the Minute), timed intervals, and structured programs from beginner to athlete level. Includes real-time workout tracking, rest timers, and progress monitoring.

The Rememberall is a wearable assistive device inspired by the magical object from Harry Potter, designed to help people with memory problems such as Dementia and ADHD live more independently. At its core, the device allows users to record reminders and play them back whenever needed, making daily tasks more manageable. Built-in sensors continuously monitor for falls, which is especially important for dementia patients who face a greater risk of falling. When a fall is detected, the device automatically triggers an alert system that contacts designated family members or caregivers with the location and time of the incident. The Rememberall also features AI assistant functionality, using speech-to-text and text-to-speech technology to enable natural conversations, help prompt users about their daily routines, and provide cognitive stimulation in an unobtrusive and supportive manner.

WALL-EEE is an autonomous line-following robot designed to accurately and quickly follow lines drawn on surfaces. The robot uses IR sensors mounted at the front to detect line position and employs two different control approaches: a simple sensor-based method that allows the robot to zig-zag across the line, and an advanced PID control scheme using a weighted average algorithm for precise correction when deviating from the path. The robot also features table edge detection to prevent itself from falling off surfaces as well as a parking sensor LED array. Later upgraded with a Raspberry Pi Zero and camera module, WALL-EEE gained computer vision capabilities using OpenCV, allowing it to recognise symbols and perform different actions based on visual input, making it a truly autonomous robotic system capable of complex decision-making.