ToMnet-N is a Deep Learning model inspired by ToMnet+ and ToMnet that proofs ability for a machine to achieve Theory of Mind

Kaggle competition solution to assign one of 39 types of crimes to a committed crime in San Francisco by given time and location. It uses data analysis and machine learning techniques

Smart and portable traffic light that regulates traffic with Computer Vision car detection and wireless communication between traffic lights. Based on Arduino Nano, ESP32 and additional modules.

This research is dedicated to frequency analysis of compositions. It results in comparison of Machine Learning models tto classify notes from compositions

Embedded system that detects human face and notifies about it in Telegram chat. It uses microcomputer JeVois A33, microcontroller ESP8266 and server for Telegram Bot. To detect faces YOLO v3 was used.

Model detects an early stage forest fire analysing real-life satellite CO2 gas map data