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### ✨ Tired of reading long, cluttered emails? Let AI do the work!

Join us for an exciting hands-on Meetup session where we build an AI Agent that summarizes emails into clean, actionable insights — powered by Python, Hugging Face, and Streamlit!
Whether you're a student, developer, or tech enthusiast, this session will help you learn how to build a real, working AI agent that thinks, reasons, and acts.

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## 💡 What You’ll Learn

✔ How to build an AI Email Summarizer Agent from scratch
✔ Using Hugging Face transformers for high-quality summarization
✔ Preprocessing text with spaCy
✔ Deploying a Streamlit app inside Google Colab
✔ Using ngrok to create a public URL for your AI agent
✔ Understanding how AI Agents perform reasoning → action → results

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## 🧠 Live Demo: Build + Run the Agent

You’ll watch and follow:

  • How an email is cleaned
  • How the AI extracts key points
  • How a concise summary + action items are generated
  • How the Streamlit UI is deployed live from Colab

This is not just a tutorial — it’s a real project you can add to your portfolio.

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## 🔧 Tech Stack You’ll Work With

  • Python
  • Hugging Face Transformers
  • spaCy
  • Streamlit
  • pyngrok
  • Google Colab (GPU runtime)

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## 🎁 Who Should Attend?

  • Aspiring AI/ML engineers
  • Developers exploring AI Agents
  • Students doing projects/internships
  • Professionals wanting productivity AI tools
  • Anyone interested in real-world GenAI apps

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## 🔥 Why You Shouldn’t Miss This

You will walk away with a complete working notebook, a deployable web app, and a strong understanding of how AI agents function behind the scenes.

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## 🎫 Save Your Spot Now!

Limited seats — this is a hands-on, high-engagement session.
Come build something amazing with us!

AI/ML
Artificial Intelligence
Machine Learning
Data
Python

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