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I Built an AI That Sends 24 Personalized Sales Emails in 47 Seconds (Full Demo)

🤖 I built a fully automated AI-powered Sales CRM that reads leads from a CSV, scores them with AI, generates personalized buyer personas, writes custom outreach emails, sends them, simulates responses, and generates a campaign report — ALL automatically in under 60 seconds! ⚡ WHAT THIS PROJECT DOES: ✅ Reads 24 leads from a CSV with Pydantic validation ✅ Uses GROQ LLM (Llama 70B) to score & rank each lead (1–10) ✅ Generates unique buyer personas per lead ✅ Writes personalized HTML outreach emails for each lead ✅ Sends emails via SMTP (MailHog for safe local testing) ✅ Simulates response tracking (Interested / Not Interested) ✅ Updates CSV with scores, personas, email status ✅ Generates a full campaign analytics report with AI insights 🛠️ TECH STACK: - Python + FastAPI (async for parallel processing) - GROQ API (Llama 3 70B) — ultra-fast LLM inference - MailHog — local SMTP email testing - Docker + Docker Compose — fully containerized - Pydantic — data validation - CSV automation pipeline 📂 Chapters: 0:00 – What Is This AI CRM? 0:29 – Tech Stack Overview (Docker, GROQ, FastAPI) 1:55 – Environment Config & Model Settings 2:36 – The 6-Step Automation Pipeline 4:54 – Starting Docker Containers (Live) 5:39 – MailHog Email Dashboard (Empty State) 6:33 – 🔴 LIVE: Running the Campaign 8:17 – Emails Sent! Checking MailHog Results 10:10 – Logs Breakdown & Error Handling 11:07 – Updated CSV With AI-Generated Fields 12:22 – Campaign Report & Analytics 14:11 – AI-Generated Insights & Next Steps 15:19 – Full Codebase Walkthrough 17:42 – Wrap Up & Final Thoughts 🔔 Subscribe for more AI automation builds! 👍 Like if this saved you hours of manual work 💬 Comment: What would YOU automate with AI next? #AIPython #SalesAutomation #AICRM #GROQ #FastAPI #PythonProject #LLM #AIAutomation #MachineLearning #BuildWithAI