- 🔬 AI Scientist, 💻 Computer Scientist specialising in Machine Learning 🧠
- 👨🎓 Graduated Machine Learning Master at Gdańsk University of Technology 🏫
- ❄️ Survived Winter in the Far North, as Erasmus+ Student in University of Oulu, Finland 🧳
- 🤖 Robot Ally 🤖
Machine Learning Team Research Project. The Brain Machine Interface for robot remote control through EEG motion imagery signal classification using CNN, combined with obstacle avoidance system.
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The "BrainBot" project proposes a brain-machine interface (BMI) that enables remote robot control using motion imagery.
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The main goal behind this project is to classify EEG signals corresponding to increased brain activity while imagining left or right arm motion and a state of deep relaxation. Two convolutional neural models (CNN) are used to classify signals from 16 EEG channels.
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Obstacle avoidance mechanism is proposed. Single RGB cammera is used in depth estimation using pretrain deep learning model MiDaS. Model predictions are used to detect obstacles during the robot's forward movement.
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The Code Repository is avaiable under this link:
The AirDetection Project explores the fascinating field of object detection in satellite imagery. Project Repository is avaiable here:
- The project's main objective is to compare the effectiveness of modern neural network architectures on RSD-GOD remote sensing dataset
- Propose improvements that could strengthen the models' ability to correctly detect various objects of interest
- Analyse the challanges with the top-down object detection
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BrainBot
AirDetection Anime Face Generation -
VisionProject
LipenProject LipenOptimization -
ReviewsAnalysis
HumanLeaflets DrCCT -
Enigma (C++)
LifeSimulator (Java & C++) -
ServerRoomMonitoringApp (C# & .Net Core)
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DroneIt (Java & Jakarta EE & JSF)