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Studierende lernen gemeinsam in einem Workspace des Fachbereichs Design Informatik Medien

Fachbereich
DESIGN INFORMATIK MEDIEN

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SNIB - Smarte Nachhaltige Innenraumbegrünung

Nicolas Moeller, Lukas Kahl und Jan Kretschmar / Prof. Dr. Hünemohr, bestes Poster, SoSe 2025

SNIB - Smarte Nachhaltige Innenraumbegrünung
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Projektname
AR-basierter Dialog Avatar

In a world that is becoming increasingly digital, our behaviour is changing with technology. Avatars are one phenomenon of this development. They are mappings of characters or people in a digital environment. They can be used in many different scenarios, such as in digital space, in VR or immersively in AR, where they can act as dialogue partners or guides. TaoAvatar [1] was recently introduced as a new method for creating such avatars. They

AR-basierter Dialog Avatar
Projektname

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iCoachPro

This project applies a design-thinking methodology to create a mobile app for soccer coaches that integrates AI-driven training planning, individualized player profiles, an extensive exercise database, a tactical board, and a team calendar. Through interviews, personas, wireframes, Figma prototyping, and usability testing, it delivers a practical, intuitive solution that streamlines both organization and communication within football teams.

iCoachPro

Projekt 1

In the SNIB project, students from RhineMain University of Applied Sciences (Media Management and Computer Science) are collaborating with Geisenheim University (Horticulture) to develop a smart, sustainable solution for indoor greening.
Using advanced sensor technology, the project continuously collects data on air quality, indoor climate, and plant health. This information enables automated irrigation control and targeted plant management,In the SNIB project, students from RhineMain University of Applied Sciences (Media Management and Computer Science) are collaborating with Geisenheim University (Horticulture) to develop a smart, sustainable solution for indoor greening.
Using advanced sensor technology, the project continuously collects data on air quality, indoor climate, and plant health. This information enables automated irrigation control and targeted plant management,