CareConnect Pro / Community AI Platform
A community engagement + assistance platform that uses LLMs to help users ask better questions, create posts faster, and get more relevant answers using contextual retrieval.
Product Overview
Problem
Communities and support platforms often struggle with repetitive questions, low-quality posts, slow responses, and difficulty finding relevant prior discussions.
Solution
We provide an AI-assisted experience that helps users craft posts, get accurate and contextual answers, and quickly surface relevant knowledge from existing content.
What it Solves (Key Features)
- Chat assistant for Q&A + guidance (context-aware responses)
- Post creation helper: topic suggestions, structure, tone improvement
- Retrieval of relevant community content to reduce irrelevant answers
- Dashboards for monitoring usage, feedback, and model outputs
Impact
Replace these with your real metrics (GA4, DB counts, logs, etc.)
Adoption Signals
- Users spend less time drafting posts and receive better structured responses
- Higher engagement on posts created with AI suggestions (comments/replies)
- Reduced duplicate questions through retrieval of similar discussions
Team
What they do: Owns end-to-end product (UX → APIs → LLM orchestration). Builds mood detection, meal logic, dashboards, and integrations.
Community impact: Drives weekly demos, ships new features, and supports other teams with reusable AI patterns (RAG/chat, evals, deployment).
What they do: Implements UI flows, onboarding, responsive design, and performance optimizations.
Community impact: Maintains shared UI components, helps other B360U teams move faster with consistent design patterns.
What they do: Improves recommendation quality, evaluates mood signals, and iterates on explainability (e.g., reasons behind suggestions).
Community impact: Creates evaluation dashboards and documentation so other teams can reuse model testing practices.
Other Key Points
- LLM-powered suggestions for posts/questions + smart replies based on community context
- RAG-style retrieval of relevant content for more accurate answers and less hallucination
- Role-based dashboards (User / Researcher / Developer) with visibility into predictions and logs
- Moderation-friendly design: keeps conversation safe, structured, and easy to review