Digital Companion - Chat Bot

A rule based chatbot service is the core of the digital companion, as a set of tools that support the effective communication between PAs and migrants on the benefit of both. The personalized interaction enhance the way information is fed to user according to the needs and capacity.

A basic vocabulary has been defined, respecting existing standards and common knowledge, able to provide an efficient tool for communication. In parallel to the designed visual language, the English language and/or the national (locally spoken) language  are available as an extra tool that helps in the faster integration.

Short audio and visual information that is available online in multiple languages, to help illiterate people learn their new society and guide their way to interact with the public authorities and public or private services.

The rule-based chatbot is able to reply to common questions from migrants and authorities and reply with data coming from the analysis modules. A routing component has been developed and is responsible to hand-off discussions to community members, volunteers or integrated migrants, which the chatbot can't manage.

A self-learning system for improving service customization based on a self-adaptive process, which can learn not only from user’s interaction but also from other user’s experience by means of innovative statistical methods.

The digital companion is also responsible to provide fact-based information to enhance the public perception of migration. The companion gives information to any interested party, local citizens or any other who is interested for the impact of migration at a local and a national level. To do this, except for the commonly asked data related questions, the digital companion create automatically infographics based on previous questions and existing data.

The "Digital Companion" is available on Google Store 

Rebuild project
European project
This project has received funding from the European Union’s
Horizon 2020 research and innovation programme under
grant agreement No 822215.