🔍 Semantic Talent Finder

AI-Powered Professional Profile Search Engine

Search talent with natural language queries and export results to CSV. Clean, professional data table interface for browsing and managing professional profiles.

✨ Key Features

• 🤖 Natural Language Search: Query using plain English ("healthcare workers in Michigan")
• 📊 Clean Data Table: Simple, pandas-like display with CSV export functionality
• 🔍 14 Real Profiles: Imported from actual LinkedIn data across multiple industries
• 🗂️ CSV Export: Export all profiles or selected profiles with one click
• 🏠 Page Navigation: Clean separation between home and results pages
• 🎯 Accurate Results: Search by location, industry, job title, or skills

🔍 Sample Searches

Try these queries to see the clean data table in action:

• "texas" → Returns 1 profile (Charlene Buchanon from Arlington, Texas)
• "healthcare workers in Michigan" → Returns Jessica Orchowski (Healthcare in Ann Arbor, Michigan)
• "security" → Returns security professionals across multiple states
• "california" → Returns 5+ profiles from California locations

🛠️ Tech Stack

Backend: Spring Boot 3.4.8 + Java 21 + PostgreSQL + pgvector
Frontend: React 18 + TypeScript + TailwindCSS
Infrastructure: Docker + Docker Compose
Data: 14 real LinkedIn profiles with CSV export functionality

🚀 Quick Start

1. Start with Docker

git clone https://github.com/your-username/semantic-talent-finder.git
cd semantic-talent-finder

# Set environment variable
export OPENAI_API_KEY=your_openai_api_key_here

# Start all services
docker-compose up -d

2. Access Application

• Frontend: http://localhost:3000
• Backend API: http://localhost:8080

3. Test Searches

• Search: "texas" → 1 result (Charlene Buchanon, Arlington, Texas)
• Search: "healthcare workers in Michigan" → 1 result (Jessica Orchowski, Ann Arbor, Michigan)
• Search: "security" → 2 results (security professionals)

📊 Data Table Features

• Clean Display: Simple, pandas-like table layout with no sorting complexity
• CSV Export: Download all results or selected profiles
• Page Navigation: Separate results page with "Back to Search" functionality
• Real Data: 14 actual LinkedIn profiles from various industries and locations

🏢 Profile Industries

The database contains profiles from:

• Healthcare & Medical Practice (Michigan, California)
• Security & Investigations (California, Washington DC)
• Automotive (Missouri)
• Construction & Building Materials (Texas, Pennsylvania)
• Technology & Cybersecurity (California)
• Banking & Financial Services (Colorado)
• Environmental Services (Oklahoma)
• Consumer Services & Tourism (Florida, California)

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📄 License

This project is licensed under the MIT License.

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