Created by: Adit Bhattarai, Hrithik Shrestha, Prashant Adhikari, Rakesh KC
About the Project
Care+ (CarePlus) is a privacy-focused, AI- and IoT-powered healthcare assistant that supports home-care provision for elderly people in Nepal. The project addresses the multi-layered problems of language barriers, poor medicine adherence monitoring,
incomplete communication between caregivers, and low trust in cloud-based healthcare platforms, all of which affect elderly patients, caregivers, and family members living overseas. The proposed solution is a companion device based on the Raspberry Pi and a supporting mobile and web application ecosystem. Care+ uses voice-to-text conversion of speech via Whisper, sends the request to a FastAPI orchestration layer, which passes it to a locally-hosted language model, generates a response, and records the intake of medicine, mood, and care events that take place throughout the session. The system also provides near-real-time synchronization of role-based dashboards for doctors, guardians, caregivers, and administrators. The intended recipients are elderly self-reliant and semi self-reliant citizens, guardians and family members who are away from the country, home care nurses
and small healthcare institutions. Development has been executed in an agile and milestones-driven methodology, broken down into the 4 focus areas: Core Communication and AI orchestration, Medical / functional Management, Emotional Analytics / Reporting, and Multi-user Ecosystem / Hardware integration. Medicines reminder scheduling, medicines intake notification, mood logging, caregiver dashboard synchronization and voice interaction are the core features of the MVP. The outcome of the Innovation Project is a working prototype, a clear go-to-market and revenue plan, and a clear roadmap leading up to the deployment of a pilot system in the Kathmandu Valley, making Care+ a locally relevant and scalable contribution to healthcare technology in Nepal for the elderly.
Key Features
- Nepali-first, multilingual voice interaction.
- Automated medicine reminders with intake confirmation tracking.
- Conversational AI assistant for general health-related queries.
- Mood and emotional trend logging derived from conversation patterns.
- Patient, guardian, doctor and administrator dashboards.
- Local-first processing to reduce dependence on continuous internet connectivity.