Témák listája

Computer vision (CV) and Natural Language Processing (NLP) are two main subfields of machine learning, and a lot of research is going on there. These two subfields overlap together in tasks such as text generation out of image (image2text) or vice-versa (text2image). A new subfield has emerged, i.e. Story Visualization, with the help of the advancement of GANs and Diffusion models. The task of the student(s) is to explore Story Visualization topic by investigating and utilizing the state-of-the-art models in the field. No. of students: 1 - 3 contact email: alshouha@edu.bme.hu

This project aims to develop a simple assistive communication system that can convert eye-blink patterns into speech or text. The idea is especially useful for people who cannot speak or move easily but can still control their eye blinks. Students will explore how eye blinks can be detected using a webcam, simple computer vision methods, or lightweight machine learning models. The detected blink patterns can then be mapped to commands, letters, words, or short spoken messages.

This project focuses on developing a simple human–robot interaction system that allows a humanoid robot or simulated robot to communicate with users through speech, gestures, and basic visual understanding. The goal is to make robot interaction more natural, friendly, and useful in real-life scenarios such as education, assistance, reception, or elderly care. Students will explore how text-to-speech, gesture detection, and simple AI-based dialogue systems can be combined to create a basic interactive robot interface. The project can be implemented using a simulated robot/avatar interface on a computer. The system may allow the user to speak to the robot, receive spoken answers, recognize simple gestures or commands, and react in a human-like way. This project combines human-computer interaction, speech technology, artificial intelligence, computer vision, and assistive robotics. The final outcome can be a small prototype or demo showing how a robot can understand simple human inputs and respond through speech, movement, or screen-based interaction. This project is suitable for students interested in AI, robotics, speech technology, human-computer interaction, accessibility, and smart interactive systems.