The main goal for the project is to develop several chatbot use case scenarios demo using LLM and prompt engineering technique for ActiveSages Solutions Inc. The chatbot will be designed to assist older adults and their caregivers in monitoring and improving their mental and physical health, including social isolation and loneliness issues through AI and other technologies. The chatbot will be programmed to provide information on daily schedules, engage in conversations about hobbies, detect loneliness, provide solutions for physical conditions, and alert family caregivers and care coordinators in case of alarming situations.

- Based on the company's recommendation, evaluate and recommend LLM system or API that leaners may want to use.

- Analyze voice conversation examples provided by the company.

- Develop chatbot use case scenarios for daily schedules, hobbies, loneliness, and physical conditions.

- Implement LLM and prompt engineering technique in the chatbot's design.

- Test the chatbot's functionality and make necessary improvements.

- Create a summarization feature to communicate conversations to family caregivers and care coordinators.

Final deliverables:

- A functional chatbot with use case scenarios for various situations.

- Documentation of the chatbot's design and implementation process.

- A report on the chatbot's performance and potential impact on the well-being of older adults and their caregivers.

We will provide adequate instructions and provide guidance and feedback..

We will share tools and keys to access some software and applications..

We will provide content for the knowledge database if needed.

We will provide articles/sources/studies that focus on older adults if needed.