Polobot robot (PsyllosBot)

Anthropomorphic social robot - modern human-computer interface. The robot is a physical avatar for the chatbot program and voice imitator. The combination of robot components with a chatbot and voice imitator makes the avatar hear what we ask it about and respond in Polish, generating the tone of voice and the way of speaking of the chosen person. The camera mounted in the robot allows to recognize objects in the environment. The robot is a contribution to the next generation of social robots that I work on. The robot bust can be used in places and situations where contact with other people is needed - in museums, galleries, concerts... After uploading mindfiles, the avatar can represent our behavior in the future, so that, for example, our grandchildren will see what we were like in the past.

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Chatbot seq2seq (RNN)

Chatbot seq2seq consists of 2 components - an RNN encoder and decoder. The system has been implemented using the Tensorflow library. The task of the encoder is to create an internal vector representation of typed text (recognized by the speech recognition module). The decoder, on the other hand, after receiving this sequence, generates the output text that is most appropriate for the text string entered at the input. In order to train the seq2seq model, a set of data was used, including subtitles (from which conversations between interlocutors were extracted) and Beksinski's letters. The database consists of pairs: {question, answer} and contains more than 100MB of text data.

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Biofeedback system with assistant

Biofeedback with an intelligent assistant inspired by the Black Mirror series. The goal of the project is to create a personal assistant that will be used in, among others, cognitive toys for young children. Details soon! As part of the project, I develop advanced chatbots that communicate in different languages.

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Voice imitator - deepfake. Speech synthesis in Polish language using convolutional neural networks

The program allows you to generate (imitate) the speech of the selected person. The speech synthesizer is based on deep convolutional neural networks. A Polish-language database of over 12,000 text-sound pairs was prepared, with a total duration of almost 20 hours. This served to train the neural network - the program learned the sound of my voice and can be used to express any issues with my voice (of course also other than those that were in the training set). The generated voice is then processed by digital filters.

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Audiodescription in cultural institutions. System MATIA 2

The aim of the project is to create a system for blind people, used to recognize and describe works of art in various cultural institutions. It is based on a special application launched on your smartphone and can additionally help you navigate the building. The MATIA 2 system is the next version of the MATIA project.

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Speech synthesizer for the mobility impaired

The project is a specially adapted tablet with software that allows people with mobility disabilities to communicate with the world. The application uses artificial intelligence to generate speech based on a set of symbols chosen by the user. Symbols are selected using a touch screen or external Bluetooth device to facilitate information entry for people with various disabilities. The project was implemented in the Social Assistance Center in Białystok.

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Use of deep learning to compose music and theater play (generative art)

The project aims to develop and test models of artificial neural networks (including Char-RNN, LSTM and convolutional networks) to generate: music including lyrics and vocals, a theater script based on selected literary works, as well as images or animations illustrating art. The next stage of development will be the application of these techniques during the creation of the synthesizer of the deceased and the bot. The examples of a generated art based on the works of Shakespeare and Mickiewicz and a simple song are presented below.

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Controlling electrical devices using the brainwave

The system "Controlling electrical devices using the brainwave" allows you to control devices by consciously controlling user's state of mind. The solution is dedicated to e.g. paralyzed people with healthy sight and hearing organs. I was created it in middle school in 2012.

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Neurognet - electronic ring

With the help of this electronic ring, by performing various gestures, you can remotely control virtually all electronic devices in the home, car and other places. Through the use of algorithms that generate human speech and handwriting recognition, the ring enables us optimal use of mobile phones by blind people. The ring works with smartphones and tablets.

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The glove supporting communication (talking glove)

‘The glove supporting communication’ is an circuit, which I created in middle school in 2013. It gives potentially endless opportunities. It was designed to help the disabled – the mute and others who have problems with verbal communication. By using the device the individuals can communicate acoustically with the outside world.

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Archive - a project from a primary school: Voltage converter

The converter design from 2007/2008 (I was in the 6th grade at the primary school then). The device converts battery voltage of 12V into sine wave 230V. It can be used to power 230V devices during holiday trips, where there is no access to the power outlet. It also has additional functions: remote control with infrared remote control, power quality control system, twilight switch, time switch, bulb brightness controller, analogue current and voltage consumption indicators.

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Archives - a project from primary school: Road intersection mockup

I made the project in the 3rd grade of primary school (2010) for technical laboratory. The aim of the project was to create an electronic mock-up of the road intersection, used while learning road traffic rules in technical lessons at school. The model presents a road intersection, which may include: tram (t), bicycle (r), car (s). Standing vehicles are displayed on displays built of red light-emitting diodes. Vehicle traffic is animated using intersecting LED lines. Each road is marked with a road sign indicated by a glowing diode. The mock-up is connected through the RS232 port with a computer. It is used to select previously defined road situations or to design new ones. The project based on ATMEGA32 microcontroller.

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Archives - a project from primary school: Glasshouse controller

The project, which I made in the 2nd grade of primary school in 2009. It serves to control the conditions in greenhouses with vegetables. It intelligently monitors temperature, humidity, controls heating mats and fan. The project uses the built-in network of sensors informing the owner about problems. The project was based, among others, on the ATMEGA32 microcontroller.

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