AI assistants
Nonprofit AI Assistant
An LLM-powered chatbot that helps users find programs, events, donation information, and community resources.
Impact
Improved accessibility and reduced repetitive support requests.
Project Overview
A custom AI assistant built for a nonprofit organization to help community members discover programs, events, and resources through natural conversation.
Client Challenge
The organization received a high volume of repetitive inquiries about programs, events, and donation options. Staff spent significant time answering the same questions, and information was scattered across multiple pages.
Users and Requirements
Community members seeking program information, event details, donation options, and volunteer opportunities. Users range from tech-savvy to those needing accessible, simple interfaces.
Proposed Solution
An LLM-powered chatbot grounded in the organization's content using RAG (Retrieval-Augmented Generation), providing accurate answers with source references and seamless escalation to human support.
Architecture
React frontend with a conversational UI, Firebase for authentication and data, Gemini for language understanding, and a vector store for content retrieval. Admin panel for content management.
Development Process
Started with content audit and user journey mapping, followed by prototype testing with staff, iterative RAG tuning, and phased rollout with feedback collection.
Results and Impact
Significantly reduced repetitive support requests, improved 24/7 accessibility to organizational information, and increased engagement with programs and events.
Screenshots
Lessons Learned
- Content quality directly impacts chatbot accuracy
- Staff training is essential for ongoing maintenance
- Clear escalation paths build user trust
- Regular content updates keep answers relevant
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