AI models
Proposed use of open-source models such as LLaMA.
Red Providence
Red Providence proposed a digital companion personalised through family conversations and texts to explore emotional wellbeing during isolation.

01 · The challenge
In the 2023 challenge, Red Providence focused on the isolation of a crew during an extended stay on Mars. Its proposal addresses emotional companionship.
02 · The solution
Ayllu-EI proposes a tool based on open-source AI. The original page describes its design and purpose; it does not provide results from clinical evaluation.
Proposed use of open-source models such as LLaMA.
Family conversations and texts as references for the companion.
Digital interaction focused on connection and emotional wellbeing.
The proposal focuses on preserving human references during isolation through a personalised digital companion.

03 · Earth-Back Thinking
The project explores how conversational technology could preserve familiar references across distances and emotionally demanding contexts.
Explore emotional companionship for a crew far from their families.
Investigate potential uses in remote care, education and isolation.
Potential applications described by the team, rather than measured impact outcomes.
Historical project · 2023 edition
The team’s organisational vision focuses on AI serving people, communication and emotional wellbeing.
04 · Peru
9 members bringing different areas of knowledge to the same question.
Software engineering and intelligent systems
Organisational and behavioural psychology
Software engineering
Communication and digital marketing
Business engineering
Mechatronics engineering
Software engineering and intelligent systems
Data science and artificial intelligence
Business engineering
Project and authorship: team Red Providence. Country: Peru. Edition: Reto Marte 2023. Recognition: national winners, according to the original Mars Challenge project page.
A descriptive presentation preserving authorship and source. It does not reproduce technical documentation or attribute clinical, radiological or commercial outcomes.
View the original project page ↗Connect the project with the method, discover the programme journey or talk to Mars Challenge.