Reachy Mini — Accessibility Assistant

Context

Elderly and disabled individuals often face challenges in communication and care. There is a growing need for solutions that enhance their daily interactions and ensure they receive the support they require. these needs by integrating voice interaction and emotional awareness into a robotic assistant.

What I built

I developed an accessibility assistant on the Reachy Mini robot platform, which features voice interaction, emotional intelligence, and caregiver coordination. The system includes a dashboard for caregivers to monitor interactions and manage care. Key functionalities allow the robot to engage in conversations, provide proactive care, and log important events.

Technical approach

The project utilizes Python 3.12+ for development, leveraging the OpenAI API for conversational intelligence and emotional recognition. I integrated Supabase for cloud database support, enabling vector memory for enhanced interaction. The setup involves two main components: the robot's interaction system and a caregiver dashboard, both running in virtual environments.

Results

The accessibility assistant successfully facilitates meaningful interactions between users and caregivers. It enhances the quality of care through proactive check-ins and emotional monitoring. Continuous improvements have been made based on user feedback, ensuring the system adapts to the needs of its users.

Key outcomes

• ▹Built a voice-interactive robot assistant that enhances communication for elderly and disabled users.
• ▹Designed a caregiver dashboard for real-time monitoring and management of patient interactions.
• ▹Implemented emotional intelligence features to adapt responses based on user mood.
• ▹Shipped a scalable architecture using Python, OpenAI API, and Supabase for cloud functionalities.