BIT Updates — BITS AI Agent System

Google Cloud Rapid Agent Hackathon · MongoDB MCP Track

An agentic AI ticket management system for BIT Wardha campus.
Powered by Gemini 2.0 Flash + MongoDB Atlas Data API + Firebase RTDB

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🚀 One-Tap Deploy (Netlify or Vercel)

Netlify

1. Drag-and-drop this entire folder to app.netlify.com/drop
2. Done ✅

Vercel

1. npx vercel --prod in this folder
2. Done ✅

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🔑 API Keys Setup (edit index.html lines ~4100)

Find the BITS_CONFIG object and fill in:

const BITS_CONFIG = {
  // 1. Gemini — https://aistudio.google.com/app/apikey
  GEMINI_API_KEY: 'YOUR_GEMINI_KEY',

  // 2. MongoDB Atlas Data API (HTTP REST — no driver needed)
  //    Atlas → Project → App Services → Data API → Enable
  //    Copy the App URL and create an API Key
  MONGODB_DATA_API_URL: 'https://data.mongodb-api.com/app/YOUR_APP_ID/endpoint/data/v1',
  MONGODB_API_KEY: 'YOUR_ATLAS_DATA_API_KEY',
  MONGODB_DB: 'bitupdates',
  MONGODB_CLUSTER: 'Cluster0',  // your cluster name
};

The Firebase config is already pre-configured for BIT Wardha.

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🤖 AI Agent Pipeline

User Input
    │
    ▼
🧠 Orchestrator (Gemini 2.0 Flash)
    │  Intent: new_complaint / chat / analytics / status
    │
    ├──────────────────────────────────────┐
    ▼                                      ▼
🔍 Triage Agent              💬 Sentiment Agent
  (category, escalation,       (urgency score,
   resolution ETA, tags)        priority P1-P4)
    │                                      │
    └──────────────┬───────────────────────┘
                   ▼
              🗺️ Routing Agent
              (department assignment,
               SLA hours, HOD escalation)
                   │
                   ▼
              🍃 MongoDB Agent
              (HTTP Data API — stores
               AI enrichments serverlessly)
                   │
                   ▼
              🤖 Chatbot Agent (RAG)
              (Gemini + MongoDB context
               + Campus FAQ)

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🏆 Hackathon Criteria Met

Criterion	How
Move Beyond Chat	Full pipeline: classify → triage → sentiment → route → store → notify
Multi-Step Mission	5-agent pipeline runs automatically on ticket submit
Partner Power (MongoDB)	Atlas Data API (HTTP MCP) stores every AI enrichment in real-time
Gemini Brain	All agents use gemini-2.0-flash for classification, analysis, RAG
One-Tap Deploy	Pure HTML/CSS/JS — drag to Netlify or vercel --prod

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📁 Files

index.html      ← The entire app (Firebase RTDB + BITS AI agents)
vercel.json     ← Vercel deploy config
netlify.toml    ← Netlify deploy config  
README.md       ← This file

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MIT License · Built for Google Cloud Rapid Agent Hackathon · MongoDB Track