Github ReposUpdated 3h agoRank 70
AionUi
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
MCPOPENCLAW
Crawler Summary
AI-Powered-Resume-Review-System-using-CrewAI answer-first brief
Built an AI-powered resume review platform using CrewAI and LLMs that evaluates ATS compatibility, analyzes skills, and provides personalized resume improvement recommendations. 🚀 AI Resume Review & ATS Optimization Agent A production-ready **Multi-Agent AI Resume Review System** built with **CrewAI**, **Google Gemini API**, **ChromaDB (RAG)**, and **Streamlit**. The application analyzes resumes against a target job description, evaluates ATS compatibility, identifies skill gaps, calculates semantic job matching, rewrites resume content using the STAR method, and generates a professional do Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 10/9/2026.
Freshness
Last checked 10/9/2026
Best For
AI-Powered-Resume-Review-System-using-CrewAI 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-Powered-Resume-Review-System-using-CrewAI
Built an AI-powered resume review platform using CrewAI and LLMs that evaluates ATS compatibility, analyzes skills, and provides personalized resume improvement recommendations. 🚀 AI Resume Review & ATS Optimization Agent A production-ready **Multi-Agent AI Resume Review System** built with **CrewAI**, **Google Gemini API**, **ChromaDB (RAG)**, and **Streamlit**. The application analyzes resumes against a target job description, evaluates ATS compatibility, identifies skill gaps, calculates semantic job matching, rewrites resume content using the STAR method, and generates a professional do
OpenClawself-declared
Public facts
5
Change events
1
Artifacts
0
Freshness
Oct 9, 2026
Verifiededitorial-contentNo verified compatibility signals1 GitHub stars
Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 10/9/2026.
1 GitHub starsTrust evidence available
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Oct 9, 2026
Vendor
Herapuramsohail
Artifacts
0
Benchmarks
0
Last release
Unpublished
Executive Summary
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 10/9/2026.
Setup snapshot
- 1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- 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.
Vendor (1)
Vendor
Herapuramsohail
profilemedium
Compatibility (1)
Protocol compatibility
OpenClaw
contractmedium
Adoption (1)
Adoption signal
1 GitHub stars
profilemedium
Security (1)
Handshake status
UNKNOWN
trustmedium
Integration (1)
Crawlable docs
6 indexed pages on the official domain
search_documentmedium
Release & Crawl Timeline
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Artifacts Archive
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
python
Executable Examples
text
Resume
│
▼
Resume Parsing Agent
│
▼
ATS Evaluation Agent
│
▼
Skills Gap Analysis Agent
│
▼
Job Match Agent
│
▼
STAR Rewrite Agent
│
▼
Final Review Agent
│
▼
Professional PDF Reporttext
resume-review-agent/ │ ├── agents/ │ ├── parser_agent.py │ ├── ats_agent.py │ ├── skills_agent.py │ ├── job_match_agent.py │ └── review_agent.py │ ├── tasks/ │ ├── parsing_tasks.py │ ├── ats_tasks.py │ ├── skills_tasks.py │ └── review_tasks.py │ ├── tools/ │ ├── pdf_parser.py │ ├── docx_parser.py │ ├── rag_tool.py │ ├── models.py │ └── pdf_generator.py │ ├── knowledge_base/ │ ├── ats_standards.md │ ├── resumes_best_practices.md │ └── industry_skills.md │ ├── crew.py ├── app.py ├── main.py ├── setup_kb.py ├── requirements.txt └── README.md
bash
git clone https://github.com/YOUR_USERNAME/YOUR_REPOSITORY.git cd YOUR_REPOSITORY
bash
pip install -r requirements.txt
env
GEMINI_API_KEY=your_gemini_api_key
bash
python setup_kb.py
Docs & README
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
Built an AI-powered resume review platform using CrewAI and LLMs that evaluates ATS compatibility, analyzes skills, and provides personalized resume improvement recommendations. 🚀 AI Resume Review & ATS Optimization Agent A production-ready **Multi-Agent AI Resume Review System** built with **CrewAI**, **Google Gemini API**, **ChromaDB (RAG)**, and **Streamlit**. The application analyzes resumes against a target job description, evaluates ATS compatibility, identifies skill gaps, calculates semantic job matching, rewrites resume content using the STAR method, and generates a professional do
Full README
🚀 AI Resume Review & ATS Optimization Agent
A production-ready Multi-Agent AI Resume Review System built with CrewAI, Google Gemini API, ChromaDB (RAG), and Streamlit.
The application analyzes resumes against a target job description, evaluates ATS compatibility, identifies skill gaps, calculates semantic job matching, rewrites resume content using the STAR method, and generates a professional downloadable PDF report.
🌐 Live Demo
👉 Try the Application Here
https://ai-powered-resume-review-system-using-crewai-gbphhdab6nh5y3rxy.streamlit.app/
📌 Features
✅ Resume Parsing (PDF, DOCX & TXT)
✅ ATS Compliance Analysis
✅ Skills Gap Analysis
✅ Semantic Job Match Score
✅ STAR Method Resume Improvement
✅ AI Resume Suggestions
✅ Downloadable PDF Report
✅ Retrieval-Augmented Generation (RAG)
✅ Multi-Agent Collaboration using CrewAI
🏗️ System Architecture
Resume
│
▼
Resume Parsing Agent
│
▼
ATS Evaluation Agent
│
▼
Skills Gap Analysis Agent
│
▼
Job Match Agent
│
▼
STAR Rewrite Agent
│
▼
Final Review Agent
│
▼
Professional PDF Report
🤖 AI Agents
1️⃣ Resume Parsing Agent
- Parses PDF, DOCX and TXT resumes.
- Extracts structured resume information.
- Converts resume into a standardized JSON format.
2️⃣ ATS Evaluation Agent
- Evaluates ATS compatibility.
- Detects formatting issues.
- Provides ATS Score.
- Suggests improvements using a RAG knowledge base.
3️⃣ Skills Gap Analysis Agent
- Compares resume skills with Job Description.
- Finds missing technical and soft skills.
- Suggests learning resources and certifications.
4️⃣ Job Match Agent
- Computes semantic similarity between Resume and Job Description.
- Generates Job Match Percentage.
- Highlights matching and missing requirements.
5️⃣ Content Improvement Agent
- Improves weak resume bullet points.
- Converts them into STAR format.
- Uses action verbs and quantified achievements.
6️⃣ Final Review Agent
- Aggregates all agent outputs.
- Computes Hiring Readiness Score.
- Generates a professional PDF report.
🛠️ Tech Stack
| Category | Technology | |----------|------------| | Language | Python | | AI Framework | CrewAI | | LLM | Google Gemini API | | Frontend | Streamlit | | Vector Database | ChromaDB | | Embeddings | Sentence Transformers | | PDF Parsing | pdfplumber, PyPDF2 | | DOCX Parsing | python-docx | | Data Models | Pydantic | | PDF Reports | FPDF2 |
📂 Project Structure
resume-review-agent/
│
├── agents/
│ ├── parser_agent.py
│ ├── ats_agent.py
│ ├── skills_agent.py
│ ├── job_match_agent.py
│ └── review_agent.py
│
├── tasks/
│ ├── parsing_tasks.py
│ ├── ats_tasks.py
│ ├── skills_tasks.py
│ └── review_tasks.py
│
├── tools/
│ ├── pdf_parser.py
│ ├── docx_parser.py
│ ├── rag_tool.py
│ ├── models.py
│ └── pdf_generator.py
│
├── knowledge_base/
│ ├── ats_standards.md
│ ├── resumes_best_practices.md
│ └── industry_skills.md
│
├── crew.py
├── app.py
├── main.py
├── setup_kb.py
├── requirements.txt
└── README.md
⚙️ Installation
Clone the repository
git clone https://github.com/YOUR_USERNAME/YOUR_REPOSITORY.git
cd YOUR_REPOSITORY
Install dependencies
pip install -r requirements.txt
🔑 Environment Variables
Create a .env file.
GEMINI_API_KEY=your_gemini_api_key
📚 Build the Knowledge Base
The ATS and Skills Gap agents use a Retrieval-Augmented Generation (RAG) pipeline backed by ChromaDB.
Initialize the vector database:
python setup_kb.py
This indexes the documents inside the knowledge_base/ directory.
▶️ Run the Application
Start the Streamlit app:
streamlit run app.py
Open:
http://localhost:8501
💻 Command Line Usage
python main.py --resume sample_resume.pdf --jd sample_jd.txt
Optional arguments:
--resume
--jd
--output
--model
📊 Workflow
Upload Resume
│
▼
Upload Job Description
│
▼
Resume Parsing
│
▼
ATS Evaluation
│
▼
Skills Gap Analysis
│
▼
Job Match Score
│
▼
STAR Rewrite
│
▼
Final AI Review
│
▼
Download PDF Report
🎯 Key Highlights
- Multi-Agent AI System
- Resume Parsing
- ATS Score Calculation
- Resume vs JD Matching
- Skills Gap Detection
- STAR Bullet Rewriting
- RAG using ChromaDB
- Professional PDF Report Generation
- Streamlit Web Dashboard
- Powered by Google Gemini API
🚀 Future Enhancements
- Authentication & User Accounts
- Resume History Dashboard
- Multiple Resume Comparison
- Support for Multiple LLMs (Gemini, OpenAI, Claude)
- Cloud Database Integration
- Resume Version Tracking
- Interview Question Generator
- Cover Letter Generator
- AI Career Recommendations
📸 Screenshots
Add screenshots here after uploading them.
Example:
screenshots/
dashboard.png
ats_score.png
skills_gap.png
pdf_report.png
🤝 Contributing
Contributions are welcome!
Feel free to fork the repository, improve features, and submit a pull request.
📄 License
This project is licensed under the MIT License.
👨💻 Author
Mohammad Sohail
GitHub: https://github.com/YOUR_GITHUB_USERNAME
LinkedIn: https://www.linkedin.com/in/YOUR_LINKEDIN/
⭐ If you found this project useful, don't forget to Star this repository!
Contract & API
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
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-herapuramsohail-ai-powered-resume-review-system-using-cr/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-herapuramsohail-ai-powered-resume-review-system-using-cr/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-herapuramsohail-ai-powered-resume-review-system-using-cr/trust"
Reliability & Benchmarks
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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.
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-herapuramsohail-ai-powered-resume-review-system-using-cr/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-herapuramsohail-ai-powered-resume-review-system-using-cr/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-herapuramsohail-ai-powered-resume-review-system-using-cr/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-herapuramsohail-ai-powered-resume-review-system-using-cr/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-herapuramsohail-ai-powered-resume-review-system-using-cr/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-herapuramsohail-ai-powered-resume-review-system-using-cr/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-10-09T22:23:48.967Z"
}
},
"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": "Herapuramsohail",
"href": "https://github.com/Herapuramsohail/AI-Powered-Resume-Review-System-using-CrewAI",
"sourceUrl": "https://github.com/Herapuramsohail/AI-Powered-Resume-Review-System-using-CrewAI",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T18:18:12.200Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/crewai-herapuramsohail-ai-powered-resume-review-system-using-cr/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-herapuramsohail-ai-powered-resume-review-system-using-cr/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-09T18:18:12.200Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "1 GitHub stars",
"href": "https://github.com/Herapuramsohail/AI-Powered-Resume-Review-System-using-CrewAI",
"sourceUrl": "https://github.com/Herapuramsohail/AI-Powered-Resume-Review-System-using-CrewAI",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T18:18:12.200Z",
"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-herapuramsohail-ai-powered-resume-review-system-using-cr/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-herapuramsohail-ai-powered-resume-review-system-using-cr/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
}
]