How to Classify and Auto-Reply to Emails

Level up your inbox automation - Part 2 of the AI Email Assistant teaches you how to classify incoming emails, log them to SQLite, auto-reply to safe categories, and let you review & edit replies for everything else. Plus we add a background thread that checks your Gmail every 5 minutes so the assistant runs on autopilot. What you’ll learn in this video: • 🔎 Email classification (GPT-powered intent detection: Price Request, Repair Inquiry, Appointment, Other) • 🧾 Persistent logging: every email + action saved to SQLite for auditing • 🤖 Auto-reply rules: automatically send replies when category is in allowed list and confidence is greater than the threshold • ✍️ Manual workflow: generate a draft reply, edit it in the UI, then send with one click • ⏱️ Autopilot: a background worker that polls the inbox (every 5 minutes) and auto-processes eligible emails • ⚠️ Safety features: confidence thresholds and fallback to manual review for ambiguous emails 💾 Tools & Tech Used • Python (imaplib / smtplib) • Flask (dashboard) • OpenAI (GPT-4o-mini) for classification & reply generation • SQLAlchemy + SQLite for logs • Background worker thread (simple polling; can be replaced with Celery/RQ for production) Security & production notes: • Use Gmail OAuth2 (recommended) - don’t store plain passwords. • Rate-limit OpenAI calls and monitor token usage - classification + replies per email will consume tokens. • Consider using a job queue for stability in production. 🔗 Useful Links & Resources: 📚 Join my free Skool community (+ access my FREE Python For AI and Automations course) https://bit.ly/4h7ndvz Sign up to Make: https://bit.ly/4hvM1hb Sign up to VAPI: https://bit.ly/4i38FfY Software I use for deploying Python apps: https://bit.ly/3Cux5jU #Python #Flask #EmailAutomation #OpenAI #GPT4 #IMAP #SMTP #SQLite #SQLAlchemy #AutoReply #EmailAssistant #BackgroundWorker #Automation #AI #CustomerSupport #CodingTutorial #PythonProjects #InboxAutomation #AIAssistant #Productivity