🌟 Mission 1 — AI Customer Support Copilot

Build your first AI-powered support agent in one hackathon

🔴 LIVE Hackathon Project • Real-world deployment • Portfolio-ready system

🚀 View Live Demo

See the actual working system built by previous students

🚀 Project Overview

What you'll build and why it matters

In Mission 1, you'll build your first deployable AI agent: a Customer Support Copilot that classifies support tickets, suggests draft responses, and learns when to escalate.

💼 Real-World Impact

This is a real-world use case — the same kind of AI that modern SaaS companies use to reduce support workload and improve response times. Companies like Zendesk, Intercom, and Freshworks are desperately seeking engineers who can build these systems.

⚡

80% Faster

Response time reduction

🎯

95% Accuracy

Ticket classification

💰

60% Cost

Reduction in support costs

📚 What You'll Learn

Complete skill progression from ML basics to Agentic AI

🔧

Technical Skills

  • Data Processing: Clean and prepare ticket data (ML fundamentals)
  • ML Classification: TF-IDF + Logistic Regression for baseline classification
  • LLM Integration: OpenAI API for smarter classification & draft replies
  • Hybrid Workflows: Combining ML + LLM with confidence thresholds
🏗️

System Architecture

  • Database Integration: Postgres (Supabase) for predictions & responses
  • Dashboard Development: Streamlit for human-in-the-loop approval
  • Agentic AI Introduction: LangGraph for orchestrating agent workflows
  • Agent Orchestration: Classification → Draft → Save → Review flow

🛠️ How We'll Build It

Structured 3-phase approach for guaranteed success

1

Pre-Hackathon Prep

Everything ready before you start building

  • Dataset (customer support tickets) cleaned & uploaded to database
  • Starter Streamlit app + baseline model ready
  • Development environment configured
2

During Hackathon

Step-by-step guided implementation

  • Step-by-step guided notebooks → classification, LLM integration
  • Database updates, Streamlit dashboard development
  • Live deployment and testing with real data
3

Post-Hackathon Bonus

Advanced enhancements for portfolio impact

  • Fine-tuning Hugging Face models for better accuracy
  • Adding analytics dashboard with performance metrics
  • Docker deployment for production readiness

🎯 What You'll Have After Mission 1

Tangible outcomes that impress recruiters

🚀

Live Deployment

A working Customer Support Copilot app, live and demo-ready that you can show to recruiters and clients immediately

👀 See Live Example
🧠

Technical Mastery

Experience with both ML & LLM workflows, understanding when to use each approach and how to combine them effectively

🤖

Agentic AI Foundation

First hands-on exposure to LangGraph agent orchestration - the foundation for all advanced AI systems

💼

Portfolio Project

A polished portfolio project you can showcase to recruiters or clients, complete with technical documentation

💡 Interview Story Ready

"I built an AI Customer Support Copilot that reduced response time by 80% and handles 1000+ tickets daily with 95% accuracy using a hybrid ML+LLM approach with LangGraph orchestration."

Ready to Build Your First AI Agent?

Join the live hackathon and build this Customer Support Copilot alongside Sridhar

🔴 LIVE Hackathon Every Saturday

Next Mission 1 session: This Saturday 4-7 PM IST