Over its five-month duration, ASSIST successfully developed a functional, multilingual chatbot Demo capable of voice, text, and image-based interactions. This system integrates personalised dialogue, image recognition, and content recommendations, adapting its tone, depth, and language to different visitor types, such as children, tourists, or experts.
Key activities included:
- A market analysis of cultural tourism, identifying a €2.3 billion addressable market, with museums as a high-potential entry point.
- Stakeholder engagement involving 35 museum professionals across Europe, which helped shape the MVP and its feature set.
- The creation of a structured, museum-specific dataset stored in a graph database, ensuring content consistency and adaptability.
- Generation of over 6,000 synthetic dialogues using personalised prompts, tested through human and AI-based evaluation methods.
- Development of a Demo of a modular chatbot architecture using hybrid language models, multimodal input/output, and an AI “shield” to monitor quality and safety.
- A public demonstration during a focus group with 30 cultural leaders confirmed the system’s potential and generated strong interest in future pilots.
These achievements demonstrate ASSIST’s technical viability and commercial promise, providing a solid base for further development and uptake.