aiaicaramba / press-to-talk Goto Github PK

Starting with the 'Leon'-example, build from there.

Explain how to engage with the project.

A feedback session between student and coach is recorded, transcribed and fed to the MAS (crewai based). Thereafter, while using FeedPulse, a conversational AI talks to the student about the session with the sole goal of enhancing their ownership of the feedback by asking questions and nudging to take responsibility.

• check if comparative feedback is viable as an option too?
• https://arxiv.org/abs/2302.03805

PoC of a Multi-Agent System (MAS) with agents using Bayesian methods and Markov decision processes to facilitate reflective conversations with CrewAI as MAS platform.

• what's the goal?
• design agent structure
• design separate agents
• implement tasks

Simple "Hero's Journey" on how a research journalist experiences the process of conducting research by talking to the crew of agents

• describe basic scenario (e.g., journalists looking for answers based on current events)
• identify agents (e.g., researcher, translator, name extractor, expander, communicator)
• identify tasks (e.g., selecting transcripts, formulate follow-up questions, answer, call, response)
• identify tools (e.g., context expander, search, summarizer, translator, name extraction)
• identify processes (e.g., serial, parallel, clamping, freedom, resulting format)
• visualize crew and process (easier to get feedback)

Understanding the fundamental concepts of the CrewAI platform. Create a Proof of Concept to determine whether it serves as a foundation for the project to expand upon.