FB Chat Autoreply with Gemini
A Python-based automated reply system for Facebook Messenger, powered by Google's Gemini AI.
Multi-lingual
context-aware replies (Gemini Pro)
Async
polling worker, env-driven config
[ tbd ]
daily message volume — fill in if known
[ role ] Sole engineer · Personal automation
Project specs
Tech Stack
R&D Focus
AI Integration & Automation
Complexity
An intelligent automated reply system for Facebook Messenger that leverages Google’s Gemini AI to generate contextually relevant responses.
Problem
High-volume Messenger threads are hard to keep up with manually. The goal was to automate first-line replies without losing conversational context or multilingual nuance.
Approach
- › Integrate Facebook Graph API for message retrieval and outbound sends.
- › Generate replies with Gemini Pro, using conversation history for coherence.
- › Run an async polling worker with environment-driven configuration.
- › Support multiple languages in the same thread flow.
Outcome
- › End-to-end automation path from inbound webhook/poll → model → reply.
- › Configurable deployment via env vars (no hard-coded secrets).
- › Message history retained so follow-up replies stay on-topic.
Stack notes
Python worker, Facebook Graph API, Gemini Pro. Polling-based ingestion with asynchronous processing suitable for a single-operator deployment.