Self-Hosted WordPress AI Chatbot

Замовник: AI | Опубліковано: 30.11.2025
Бюджет: 1500 $

I need a fully functional AI chatbot woven directly into my WordPress / WooCommerce site on Hostinger. The key requirement: everything must run with minimal or no recurring fees—so please rely on self-hosted, open-source models and libraries rather than paid APIs such as Open AI, Gemini, Groq, etc. Core functions I expect the bot to handle: • Answer FAQs and assist customers in real time • Guide visitors through the site’s navigation flow • Locate product links, add selected products to a custom shopping-list table, and let users view or edit that list • Create, display, and edit user events or reminders stored in another custom table • Accept voice-to-text queries for hands-free use • Offer a smooth human-handoff option when the user asks for live help • Present predefined Q&A suggestions to speed up interactions • Deliver a great, responsive UI that blends naturally with my existing theme and fits both desktop and mobile Language coverage must be strong: English, French, German, Romanian, Italian, and Spanish. Automatic detection and switching are ideal so visitors always see replies in their own language. Technical stack and constraints • PHP and MySQL only (fit cleanly on my current Hostinger plan) • No external paid AI endpoints; open-source LLMs or lightweight embeddings that will run within—or alongside—my shared hosting environment • The solution must install as a standard WordPress plugin or drop-in module so I can enable, disable, and update it like any other plugin • Compatibility with WooCommerce product data is essential for the shopping-list features Acceptance criteria 1. A working plugin installed on a staging copy of my site that demonstrates every feature above. 2. Clear setup documentation covering model installation, language packs, and performance tips for low-memory hosting. 3. Source code turned over in full, well commented, and licensed for future in-house modification. > GITHUB If you have proven experience deploying open-source chat models with PHP—especially on resource-constrained hosting—let’s talk.