About This Architecture

FundFinder Cameroon integrates a WordPress CMS frontend with a Chatbase AI chatbot and centralized grants database to help NGOs discover funding opportunities. User NGOs access the system through a web browser connecting to the website interface, which routes requests to both WordPress content management and an AI assistant powered by real-time grant data. The architecture separates presentation, application, and data layers, with WordPress managing static content while the chatbot provides intelligent, conversational grant matching against a structured database of titles, eligibility criteria, and deadlines. This four-layer design demonstrates how nonprofits can combine traditional CMS reliability with modern AI capabilities on shared infrastructure. Fork this diagram to customize the data schema, add authentication layers, or integrate additional funding sources and eligibility filters for your region.

People also ask

How do I build a grant discovery platform for NGOs using WordPress, AI chatbots, and a grants database?

FundFinder Cameroon demonstrates a four-layer architecture where NGO users access a website interface connected to WordPress CMS for content and a Chatbase AI chatbot for intelligent grant matching. Both the CMS and chatbot query a centralized grants database containing titles, eligibility criteria, and deadlines, all hosted on InfinityFree infrastructure. This design separates concerns while enab