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Personalized user engagement based on activity insights
This project aims to integrate a chat interface into the UpBeing app to allow users to engage more deeply with their insights. It consists of informing a large language model (LLM) of a user’s most recent insights, which will give it real time ground truth a users’ recent experience, thereby empowering the LLM to provide extremely nuanced interactions. The project will result in providing better insights to the user, involve in more naturally occurring interactions and increase the user’s time on the application.
Faculty Supervisor:
Hassan Sajjad
Student:
Partner:
UpBeing Inc.
Discipline:
Computer science
Sector:
Information and cultural industries; Professional, scientific and technical services
University:
Dalhousie University
Program:
Accelerate
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