Community Analytics Tool - Wiki Summary

Objective

This CEF.ai Prototype is an AI-powered conversation analysis system designed to process, structure, and analyze large-scale messaging data from communication platforms like Whatsapp groups, and Telegram groups.

The goal is to transform community discussions from a sea of messages into clear, actionable insights, e.g. what a community is talking about, who are key contributors, and what topics drive the most engagement - all in (near) real-time.

Goal/Values For Hackathon:

Extract insights from collective conversations by combining intelligent real-time data segmentation and NLP models.
Key actions/learnings for each participant/student
- Quickly build/customize/launch open-source models to work with dynamic datasets while conversations are happening
- Simulate how our prototypical real-time data engineering platform can help you to compare/evaluate LLM results dynamically to understand relevance and content within a temporary and extended time context window
- Continuously build up and archive the conversational insights in the format of vectorized conversation/thread mapping
Your objective is to understand how to use different model and tuning techniques, and perhaps even more advanced data segmentation techniques to achieve better score/outcome than the provided sample

Community Analytics Tool - Wiki Summary

🎯 The Big Picture

💪 Core Features Community Analytics Tool

👥 Who should use CEF.ai’s community analytics tool