Here are some of the projects I worked on during my studies and personal time.
This project presents a hybrid AI framework that integrates multimodal perception, semantic graph reasoning, and model-based reinforcement learning to understand complex environments and predict critical events in real time. The approach is validated through a Unity 3D simulation of an aircraft-landing scenario, where the system anticipates runway risks and supports safer autonomous or assisted decision-making.
Educational autonomous car on Raspberry Pi using camera, deep learning and sensors to recognise traffic signs and avoid obstacles in real time.
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Robotic hand system combining Python (OpenCV, MediaPipe) and Arduino Mega to replicate human hand gestures via computer vision and UART for HMI/HRI use-cases.
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IoT greenhouse controller on ESP32 handling temperature and soil moisture, driving relays for pump, fan and lights, with a local Wi-Fi web UI for monitoring and control.
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Secure NAS web app in Python/Flask with SQLite, Argon2-hashed passwords, TOTP 2FA, per-user isolated storage, folder sharing and protected file uploads.
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Full Java 17 client–server implementation of Othello/Reversi with JavaFX UI and SQLite persistence, supporting undo/redo, CPU opponents and real-time updates.
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Console-based Chess game in Java using MVC architecture and OOP design, with full rules implementation and ASCII board rendering.
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Modern Tetris implementation in C++ structured with MVC; separates game logic, rendering and input while using classes for bricks, board, levels and timing.
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Reinforcement Learning project on FrozenLake using both tabular Q-Learning and Deep Q-Learning, comparing classical vs deep RL with training and evaluation.
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2D top-down RPG built in Java with Swing/Java2D: tile-based maps, collisions, enemies, items and basic game systems, created as a learning project.
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