Crawler Summary

AI-enabled-Enquiry-Assistant answer-first brief

AI-powered multi-turn WhatsApp chatbot using CrewAI, Groq LLM, Flask, and Twilio for automated course enquiry handling and lead generation. πŸŽ“ QuAnHack β€” Educational Enquiry Assistant AI-Powered Multi-turn WhatsApp Chatbot (CrewAI + Groq + Flask + Twilio) --- πŸš€ Overview This project is a **multi-turn AI-powered WhatsApp chatbot** designed for educational institutions to: * πŸ“š Answer course enquiries * πŸ€– Guide users step-by-step * πŸ“‹ Capture student leads automatically * πŸ“ž Trigger follow-up communication Unlike traditional chatbots, this system uses a Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

AI-enabled-Enquiry-Assistant is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

Agent DossierGITHUB REPOSSafety: 66/100

AI-enabled-Enquiry-Assistant

AI-powered multi-turn WhatsApp chatbot using CrewAI, Groq LLM, Flask, and Twilio for automated course enquiry handling and lead generation. πŸŽ“ QuAnHack β€” Educational Enquiry Assistant AI-Powered Multi-turn WhatsApp Chatbot (CrewAI + Groq + Flask + Twilio) --- πŸš€ Overview This project is a **multi-turn AI-powered WhatsApp chatbot** designed for educational institutions to: * πŸ“š Answer course enquiries * πŸ€– Guide users step-by-step * πŸ“‹ Capture student leads automatically * πŸ“ž Trigger follow-up communication Unlike traditional chatbots, this system uses a

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Vignesh2376

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Vignesh2376

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

text

User (WhatsApp)
      ↓
Twilio API
      ↓
Flask Backend (/whatsapp)
      ↓
Conversation State Manager
      ↓
Message Handler (handle_message)
      ↓
Hybrid Processing:
    β€’ Rule-based Logic (fast decisions)
    β€’ CrewAI Agents (Groq LLM)
      ↓
Tools Layer:
    β€’ CourseDataTool
    β€’ LeadStorageTool
      ↓
Response Generation
      ↓
Twilio β†’ WhatsApp User
      ↓
Follow-up (Async Thread)

text

start β†’ awaiting_course β†’ awaiting_confirm β†’ awaiting_details β†’ done

text

quanhack_project/
β”œβ”€β”€ app.py
β”œβ”€β”€ courses.json
β”œβ”€β”€ leads.json
β”œβ”€β”€ requirements.txt
└── README.md

bash

pip install -r requirements.txt

powershell

$env:GROQ_API_KEY="gsk-..."
$env:TWILIO_ACCOUNT_SID="ACxxxx"
$env:TWILIO_AUTH_TOKEN="xxxx"
$env:TWILIO_WHATSAPP_NUM="whatsapp:+14155238886"

bash

python app.py

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

AI-powered multi-turn WhatsApp chatbot using CrewAI, Groq LLM, Flask, and Twilio for automated course enquiry handling and lead generation. πŸŽ“ QuAnHack β€” Educational Enquiry Assistant AI-Powered Multi-turn WhatsApp Chatbot (CrewAI + Groq + Flask + Twilio) --- πŸš€ Overview This project is a **multi-turn AI-powered WhatsApp chatbot** designed for educational institutions to: * πŸ“š Answer course enquiries * πŸ€– Guide users step-by-step * πŸ“‹ Capture student leads automatically * πŸ“ž Trigger follow-up communication Unlike traditional chatbots, this system uses a

Full README

πŸŽ“ QuAnHack β€” Educational Enquiry Assistant

AI-Powered Multi-turn WhatsApp Chatbot (CrewAI + Groq + Flask + Twilio)


πŸš€ Overview

This project is a multi-turn AI-powered WhatsApp chatbot designed for educational institutions to:

  • πŸ“š Answer course enquiries
  • πŸ€– Guide users step-by-step
  • πŸ“‹ Capture student leads automatically
  • πŸ“ž Trigger follow-up communication

Unlike traditional chatbots, this system uses a state-driven conversation flow combined with AI agents, making it both reliable and intelligent.


🧠 System Architecture

πŸ” High-Level Flow

User (WhatsApp)
      ↓
Twilio API
      ↓
Flask Backend (/whatsapp)
      ↓
Conversation State Manager
      ↓
Message Handler (handle_message)
      ↓
Hybrid Processing:
    β€’ Rule-based Logic (fast decisions)
    β€’ CrewAI Agents (Groq LLM)
      ↓
Tools Layer:
    β€’ CourseDataTool
    β€’ LeadStorageTool
      ↓
Response Generation
      ↓
Twilio β†’ WhatsApp User
      ↓
Follow-up (Async Thread)

πŸ”„ Conversation Flow (State Machine)

The chatbot operates using a multi-turn state machine:

start β†’ awaiting_course β†’ awaiting_confirm β†’ awaiting_details β†’ done

Flow:

  1. πŸ‘‹ Greeting β†’ Show course list
  2. πŸ“š Course selected β†’ Show details
  3. βœ… User confirms β†’ Ask for details
  4. πŸ“‹ User shares info β†’ Store lead
  5. πŸŽ‰ Confirmation + follow-up

πŸ€– AI Processing (Hybrid Approach)

The system combines:

⚑ Rule-Based Logic

  • Stage transitions
  • Keyword matching (YES, join, etc.)
  • Course matching

🧠 LLM-Based Processing (Groq)

  • Intent detection
  • Confirmation detection
  • Name & phone extraction

🀝 CrewAI Agents

| Agent | Role | | ---------------------- | -------------------------------- | | Enquiry Analyst | Detects intent, extracts details | | Course Info Specialist | Fetches course data | | Lead Manager | Stores leads |


πŸ”§ Tools Used

πŸ“š CourseDataTool

  • Reads from courses.json
  • Returns course details or list

πŸ“‹ LeadStorageTool

  • Stores leads in memory + leads.json
  • Returns success + lead ID

πŸ“‚ Project Structure

quanhack_project/
β”œβ”€β”€ app.py
β”œβ”€β”€ courses.json
β”œβ”€β”€ leads.json
β”œβ”€β”€ requirements.txt
└── README.md

βš™οΈ Setup Instructions

1. Install Dependencies

pip install -r requirements.txt

2. Set Environment Variables

Windows (PowerShell)

$env:GROQ_API_KEY="gsk-..."
$env:TWILIO_ACCOUNT_SID="ACxxxx"
$env:TWILIO_AUTH_TOKEN="xxxx"
$env:TWILIO_WHATSAPP_NUM="whatsapp:+14155238886"

3. Run the Application

python app.py

4. Start ngrok

ngrok http 5000

5. Configure Twilio Webhook

Set webhook URL:

https://<ngrok-url>/whatsapp

πŸ’¬ Sample Interaction

πŸ‘€ User:

Hi

πŸ€– Bot:

πŸ‘‹ Welcome to TechAcademy!
Here are our courses...

πŸ‘€ User:

AI & ML

πŸ€– Bot:

πŸ“š AI & ML Course Details...
Would you like to enroll?

πŸ‘€ User:

Yes

πŸ€– Bot:

Please share your name and phone number

πŸ‘€ User:

Vignesh 9876543210

πŸ€– Bot:

βœ… Your interest has been registered!

πŸ”— API Endpoints

| Endpoint | Method | Description | | ----------- | ------ | ------------- | | /whatsapp | POST | Main webhook | | /leads | GET | View leads | | /state | GET | Debug state | | /reset | POST | Reset session | | /health | GET | Health check |


✨ Key Features

  • βœ… Multi-turn conversation system
  • βœ… State-driven chatbot architecture
  • βœ… Hybrid AI (Rule-based + LLM)
  • βœ… CrewAI multi-agent orchestration
  • βœ… Tool-controlled LLM (no hallucination)
  • βœ… Real-time WhatsApp integration
  • βœ… Automated lead capture + follow-up

⚠️ Future Improvements

  • Add database (PostgreSQL / MongoDB)
  • Improve phone validation
  • Add admin dashboard
  • Deploy on cloud (Render / AWS)

Conclusion

This system demonstrates a production-oriented AI chatbot architecture, combining:

  • Structured conversation flow
  • Agent-based reasoning
  • Real-world API integration

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-vignesh2376-ai-enabled-enquiry-assistant/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-vignesh2376-ai-enabled-enquiry-assistant/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-vignesh2376-ai-enabled-enquiry-assistant/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

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Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-vignesh2376-ai-enabled-enquiry-assistant/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-vignesh2376-ai-enabled-enquiry-assistant/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-vignesh2376-ai-enabled-enquiry-assistant/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-vignesh2376-ai-enabled-enquiry-assistant/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-vignesh2376-ai-enabled-enquiry-assistant/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-vignesh2376-ai-enabled-enquiry-assistant/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T01:53:06.244Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Vignesh2376",
    "href": "https://github.com/Vignesh2376/AI-enabled-Enquiry-Assistant",
    "sourceUrl": "https://github.com/Vignesh2376/AI-enabled-Enquiry-Assistant",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:15:02.993Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-vignesh2376-ai-enabled-enquiry-assistant/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-vignesh2376-ai-enabled-enquiry-assistant/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:15:02.993Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-vignesh2376-ai-enabled-enquiry-assistant/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-vignesh2376-ai-enabled-enquiry-assistant/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub Β· GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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