Xpersona

Crawler Summary

AI_Learning_Assistant answer-first brief

AI-Powered Intelligent Learning & Development Assistant using CrewAI, Gemini and RAG 🎓 AI-Powered Intelligent Learning & Development Assistant 📌 Overview The AI-Powered Intelligent Learning & Development Assistant is a multi-agent AI application designed for industrial organizations to improve employee learning and development. The system analyzes employee profiles, identifies skill gaps, recommends personalized training programs, generates learning roadmaps, and answers questions from industrial k Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

AI_Learning_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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGITHUB REPOSSafety: 66/100

AI_Learning_Assistant

AI-Powered Intelligent Learning & Development Assistant using CrewAI, Gemini and RAG 🎓 AI-Powered Intelligent Learning & Development Assistant 📌 Overview The AI-Powered Intelligent Learning & Development Assistant is a multi-agent AI application designed for industrial organizations to improve employee learning and development. The system analyzes employee profiles, identifies skill gaps, recommends personalized training programs, generates learning roadmaps, and answers questions from industrial k

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

Shubham99311

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Unpublished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.

View Source

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

Shubham99311

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

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

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

Self-declaredGITHUB REPOS

Extracted files

0

Examples

5

Snippets

0

Languages

python

Executable Examples

text

Employee Dataset
        │
        ▼
 Employee Analysis
        │
        ▼
 CrewAI Multi-Agent System
        │
 ┌───────────────┬───────────────┬──────────────┐
 │               │               │
 ▼               ▼               ▼
HR Agent   Skill Gap Agent   Recommendation Agent
                    │
                    ▼
             Planner Agent
                    │
                    ▼
          Personalized Learning Roadmap

Knowledge Base PDFs
        │
        ▼
LlamaIndex + FAISS
        │
        ▼
 Gemini AI
        │
        ▼
Knowledge Assistant

text

AI_Learning_Assistant_V2/

agents/
crew/
dashboard/
data/
knowledge_base/
pages/
rag/
storage/
tasks/
tools/
utils/

app.py
README.md
requirements.txt

bash

git clone <repository-url>

bash

pip install -r requirements.txt

bash

streamlit run 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 Intelligent Learning & Development Assistant using CrewAI, Gemini and RAG 🎓 AI-Powered Intelligent Learning & Development Assistant 📌 Overview The AI-Powered Intelligent Learning & Development Assistant is a multi-agent AI application designed for industrial organizations to improve employee learning and development. The system analyzes employee profiles, identifies skill gaps, recommends personalized training programs, generates learning roadmaps, and answers questions from industrial k

Full README

🎓 AI-Powered Intelligent Learning & Development Assistant

📌 Overview

The AI-Powered Intelligent Learning & Development Assistant is a multi-agent AI application designed for industrial organizations to improve employee learning and development.

The system analyzes employee profiles, identifies skill gaps, recommends personalized training programs, generates learning roadmaps, and answers questions from industrial knowledge documents using Retrieval-Augmented Generation (RAG).

🚀 Features

  • 👤 Employee Profile Analysis
  • 📊 Skill Gap Analysis
  • 🤖 AI-powered HR Report Generation
  • 🎓 Personalized Course Recommendations
  • 🗓 30/60/90-Day Learning Roadmap
  • 📚 Industrial Knowledge Assistant (RAG)
  • 📄 PDF Report Generation
  • 📈 Interactive Dashboard
  • 🤖 Multi-Agent AI using CrewAI

🏗 System Architecture

Employee Dataset
        │
        ▼
 Employee Analysis
        │
        ▼
 CrewAI Multi-Agent System
        │
 ┌───────────────┬───────────────┬──────────────┐
 │               │               │
 ▼               ▼               ▼
HR Agent   Skill Gap Agent   Recommendation Agent
                    │
                    ▼
             Planner Agent
                    │
                    ▼
          Personalized Learning Roadmap

Knowledge Base PDFs
        │
        ▼
LlamaIndex + FAISS
        │
        ▼
 Gemini AI
        │
        ▼
Knowledge Assistant

🛠 Technology Stack

Frontend

  • Streamlit

Backend

  • Python

AI Framework

  • CrewAI

LLM

  • Google Gemini

RAG

  • LlamaIndex
  • FAISS

Data

  • CSV Datasets

Visualization

  • Plotly

📊 Datasets

The project uses four datasets:

  • Employee Dataset
  • Skill Matrix
  • Course Catalog
  • Training History

📚 Knowledge Base

The RAG system uses industrial documents such as:

  • Safety SOPs
  • Lockout Tagout
  • PPE Guidelines
  • Preventive Maintenance
  • Machine Manuals
  • Industrial Safety Documents

📸 Screenshots

🏠 Home Page

Home Page

👤 Employee Analysis

Employee Analysis

🤖 Knowledge Assistant

Knowledge Assistant

ℹ️ About Page

About Page

🏗 System Architecture

Architecture

📂 Folder Structure

AI_Learning_Assistant_V2/

agents/
crew/
dashboard/
data/
knowledge_base/
pages/
rag/
storage/
tasks/
tools/
utils/

app.py
README.md
requirements.txt

▶ Installation

Clone the repository

git clone <repository-url>

Install dependencies

pip install -r requirements.txt

Run the application

streamlit run app.py

🤖 AI Workflow

  1. Employee profile is retrieved.
  2. HR Agent generates employee analysis.
  3. Skill Gap Agent identifies missing skills.
  4. Recommendation Agent recommends training courses.
  5. Planner Agent creates a learning roadmap.
  6. RAG retrieves relevant document chunks.
  7. Gemini generates context-aware responses.

🔮 Future Scope

  • LMS Integration
  • SAP HR Integration
  • Voice Assistant
  • Predictive Skill Analytics
  • Mobile Application

👨‍💻 Author

Shubham Kumar

B.Tech Mechanical Engineering

MNNIT Allahabad

📄 License

This project is developed for educational purposes.

Contract & API

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

MissingGITHUB REPOS

Endpoints

Dossier APISnapshot APIContract APITrust API

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-shubham99311-ai-learning-assistant/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-shubham99311-ai-learning-assistant/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-shubham99311-ai-learning-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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Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

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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-shubham99311-ai-learning-assistant/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-shubham99311-ai-learning-assistant/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-shubham99311-ai-learning-assistant/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-shubham99311-ai-learning-assistant/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-shubham99311-ai-learning-assistant/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-shubham99311-ai-learning-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": "2026-10-09T18:50:20.473Z"
    }
  },
  "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": "Shubham99311",
    "href": "https://github.com/Shubham99311/AI_Learning_Assistant",
    "sourceUrl": "https://github.com/Shubham99311/AI_Learning_Assistant",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T17:16:50.293Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-shubham99311-ai-learning-assistant/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-shubham99311-ai-learning-assistant/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T17:16:50.293Z",
    "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-shubham99311-ai-learning-assistant/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-shubham99311-ai-learning-assistant/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · 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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