Digital Humans: The Future of Interactive AI
Join us for the presentation of this project
Date: July 9
Time: 18:00
Location: NOVE Building, Ground Floor, Solar Conference Room
Address: Luise-Ullrich-Straße 14, 80636 Munich (Please ask the front desk for directions.)
Follow the link or contact the mentors for more information.
- Sponsored by: Data Reply GmbH
- Project lead: Dr. Ricardo Acevedo Cabra
- Scientific lead: Alessandro Palladini and ihab Bouaffar
- TUM co-mentor: TBA
- Term: Winter semester 2025
- Application deadline: Sunday 20.07.2025
Apply to this project here

Motivation and Values
As artificial intelligence continues to reshape communication, creating a digital human capable of engaging users naturally is essential. By leveraging edge technologies, such as LLMs, multi-agent frameworks, knowledge-based systems (such as Retrieval-Augmented Generation, RAG), the goal is to enhance the contextual capabilities of the digital human. The entire project will be cloud based to provide the necessary infrastructure to support scalability and reliability with an interactive fronted to capture users and enhance their interactions.
Goals
- Innovative Interaction: Develop an interactive frontend that offers engaging, human-like interactions via text and audio.
- Advanced Backend: Utilize state-of-the-art technologies, such as multi-agent framework combined with knowledge-based systems, to optimize context-building and response quality.
- Contextual Understanding: Implement algorithms that allow the digital human to build context from varied inputs, improving user experience and satisfaction.
- Multi-Modal Input and Output: Enable processing of diverse input formats, delivering meaningful and contextually relevant outputs.
Methods
- Model Exploration: Review existing LLM architectures for suitability in creating an interactive digital human experience.
- Framework Integration: Implement a backend utilizing state-of-the-art techniques like a multi-agent framework and knowledge-based systems like RAG for enhanced contextual processing.
- AWS Infrastructure Deployment: Leverage AWS services to ensure robust, scalable deployment of the digital human application.
Requirements and Opportunities
We invite motivated participants eager to explore the intersections of AI and human-like interaction.
This project offers:
- Insightful Learning: Gain expertise in LLM integration, multi-agent frameworks, knowledge-based systems and AWS deployment.
- Skill Development: Enhance your understanding of context-building and multi-modal AI interactions.
- Transformative Impact: Contribute to pioneering solutions that redefine user experiences with AI.
We are excited to embark on this journey together and look forward to the innovative solutions we will create. Together, we can pave the way for an era of digital humans that are efficient, engaging, and responsive to user needs. Let's innovate and make AI more accessible and tailored to everyone’s requirements while ensuring data privacy and security.
Apply to this project here