AI-powered resume analysis tool built for IT professionals, freelancers, and consultants. Transform your resume into structured knowledge graphs using GraphRAG technology with multi-provider LLM support.

ResumeMindAI CLI converts your resume into a structured knowledge graph that captures entities (skills, companies, projects) and their semantic relationships. This enables intelligent analysis and optimization of your professional profile.

• Document Parsing: Supports PDF, DOCX, DOC, and TXT files
• AI-Powered Cleaning: Standardizes and formats resume content
• Section-Based Analysis: Processes education, experience, skills, projects separately for better accuracy
• Human-in-the-Loop: Interactive review system to validate and refine extracted data

• Knowledge Graph Creation: Converts resumes into structured graph databases with FalkorDB
• Semantic Relationships: Captures connections between skills, experiences, and achievements
• Vector Embeddings: Multi-provider support (OpenAI, Ollama, Google) for semantic search
• Intelligent Querying: Search and analyze your professional data semantically

• Universal Compatibility: Works with OpenAI, Anthropic, Google Gemini, Ollama, and 100+ models via LiteLLM
• Persistent Configuration: Save multiple provider setups and switch between them seamlessly
• Smart Startup: Automatically loads your active provider on startup
• Local & Cloud: Mix cloud LLMs with local embeddings for cost optimization
• Privacy First: Complete offline operation possible with Ollama
• Rich CLI Interface: Beautiful terminal UI with interactive menus and tables

• IT Professionals: Analyze technical skills, project portfolios, and career progression
• Freelancers: Understand expertise positioning and identify skill gaps
• Consultants: Optimize professional profiles for client presentations
• Job Seekers: Prepare for interviews with structured skill analysis
• Career Development: Make data-driven decisions about your professional growth

No Python installation required! Download the pre-built executable for your platform:

• Windows: Download resumemind-cli-windows-x64.zip
• macOS: Download resumemind-cli-macos-x64.tar.gz
• Linux: Download resumemind-cli-linux-x64.tar.gz

1. Download the appropriate file for your operating system
2. Extract the archive to your desired location
3. Run the installer (optional but recommended):
   • Windows: Double-click install.bat
   • macOS/Linux: Run ./install.sh in terminal
4. Start FalkorDB: Run docker-compose up -d in the extracted folder
5. Launch: Run resumemind-cli from anywhere (if installed) or ./resumemind-cli from the extracted folder

For developers and advanced users:

• Python 3.8+
• Docker (for FalkorDB graph database)

1. Clone the repository:

git clone <repository-url>
cd ResumeMindAI-Cli

2. Install dependencies:

pip install -r requirements.txt

3. Start the graph database:

docker-compose up -d

This starts FalkorDB with web interface accessible at http://localhost:3010

4. Run the application:

python main.py

# Install build dependencies
pip install -r requirements.txt

# Build executable for your platform
python build_executable.py

1. 📄 Upload Resume: Supports PDF, DOCX, DOC, TXT formats
2. 🧹 AI Cleaning: Standardizes and formats content using LLM
3. 📊 Section Parsing: Automatically detects education, experience, skills, projects
4. 🧠 Graph Extraction: AI agents extract entities and relationships
5. 👤 Human Review: Interactive validation and refinement of extracted data
6. 🔢 Vector Embeddings: Generate semantic embeddings for search
7. 💾 Graph Storage: Store in FalkorDB for querying and analysis

On your first run, you'll configure an LLM provider:

• Provider Name: Custom name (e.g., "My GPT-4", "Local Ollama")
• Model: Any LiteLLM-supported model (gpt-4o, claude-3-5-sonnet-20241022, ollama/llama3.2)
• API Key: Required for cloud providers, optional for local models
• Base URL: Optional (e.g., http://localhost:11434 for Ollama)
• Embedding Model: Auto-selected or custom (e.g., text-embedding-3-small, ollama/nomic-embed-text)

After setup, you'll see the main menu:

🎯 ResumeMindAI - Main Menu
1. 📄 Resume Ingestion - Process and analyze your resume
2. 🤖 Manage Providers - Add, switch, or configure LLM providers
3. ❌ Exit

1. Select Resume File: Choose your PDF, DOCX, or TXT resume
2. AI Processing: Watch as the system processes each section
3. Review Extracted Data: Validate triplets (relationships) found in your resume
4. Refine Results: Add missing information or remove incorrect data
5. Graph Storage: Approve final results for storage in the knowledge graph
6. 🌐 View Graph: Access FalkorDB web interface at http://localhost:3010 to explore your resume graph visually

The human-in-the-loop review ensures accuracy - you have full control over what gets stored.

After processing your resume, you can visualize and query your knowledge graph:

• Web Interface: Open http://localhost:3010 in your browser
• Visual Exploration: See entities (skills, companies, projects) and their relationships
• Graph Queries: Run Cypher queries to analyze your professional data
• Interactive Navigation: Click through connected nodes to explore relationships

• Python: Main application language
• LiteLLM: Unified interface for 100+ LLM providers
• FalkorDB: Graph database for storing resume relationships
• Rich: Beautiful terminal UI with tables and interactive prompts
• Agno: AI agent framework for resume processing workflows
• MarkItDown: Document parsing for PDF, DOCX, and other formats
• SQLite: Local persistence for provider configurations

Cloud Providers:

• OpenAI: gpt-4o, gpt-4, gpt-3.5-turbo
• Anthropic: claude-3-5-sonnet-20241022, claude-3-opus-20240229
• Google: gemini/gemini-1.5-pro, gemini/gemini-pro
• Azure OpenAI, Cohere, Perplexity, Together AI, and 100+ more

Local Models (Ollama):

• ollama/llama3.2, ollama/llama3.1, ollama/mistral, ollama/codellama

• Privacy First: All data stored locally, no external dependencies except LLM APIs
• Modular Design: Clean separation between CLI, agents, services, and persistence
• Extensible: Easy to add new agents and processing workflows
• Cost Flexible: Mix expensive cloud LLMs with free local embeddings

The current v1 focuses on resume → graph conversion. Future versions will add specialized agents:

• 🎯 Interview Prep Agent: Generate technical questions based on your extracted skills and experience
• 📊 Skills Gap Analyzer: Compare your profile against job requirements and market trends
• 💼 Portfolio Optimizer: Suggest improvements to your projects and achievements
• 🚀 Career Path Predictor: Recommend next career moves based on your background
• 📈 Market Position Analyzer: Compare your profile against industry standards
• 📝 Resume Optimizer: Suggest improvements to resume content and structure

While v1 is CLI-focused, a web interface is planned for future releases with:

• Visual graph exploration
• Interactive resume editing
• Dashboard analytics
• Collaborative features

We welcome contributions! The modular architecture makes it easy to add new agents and features. Check the resumemind/core/agents/ directory for examples.

• Local Storage: All resume data and configurations stored locally
• No Data Collection: No telemetry or data sent to external services
• API Key Security: Credentials stored securely in local SQLite database
• Open Source: Full transparency - audit the code yourself

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

ResumeMindAI CLI is free and open-source software that allows you to:

• ✅ Use the software for any purpose
• ✅ Modify the source code
• ✅ Distribute copies of the software
• ✅ Distribute modified versions
• ✅ Use for commercial purposes

Requirements:

• Include the original copyright notice and license
• State any significant changes made to the software

No Warranty: The software is provided "as is" without warranty of any kind.

• Issues: Report bugs and feature requests on GitHub
• Discussions: Join the community for questions and ideas
• Documentation: Full API docs available in the codebase

Built for developers, by developers. Transform your resume analysis workflow with AI-powered insights.