ConnectPro

ConnectPro is an intelligent networking assistant that analyzes LinkedIn profiles to generate personalized conversation starters and insights. It crafts more meaningful and engaging networking interactions by providing tailored discussion points based on a person's story and professional background.

Features

• 🔍 Smart LinkedIn profile search using name, company, or position
• 📊 In-depth profile analysis using OpenAI LLM
• 💡 Generation of professional insights and conversation starters
• ✨ Simple UI React frontend
• ⚡ Fast and reliable FastAPI backend

Tech Stack

Frontend:

• React
• Modern CSS with responsive design
• Real-time profile analysis interface

Backend:

• FastAPI (Python 3.13)
• LangChain for AI orchestration
• Integration with OpenAI, Proxycurl (Linkedin Scraper), and Tavily APIs (Search Tool)

Run Locally

Clone the project

git clone https://github.com/yourusername/connect-pro.git
cd connect-pro

Backend Setup

1. Set up Python environment with Poetry

poetry install
poetry shell

2. Create .env file in project root:

.env.example provides the detailed overview of the env vars needed to run the project.

OPENAI_API_KEY=your_openai_key
PROXYCURL_API_KEY=your_proxycurl_key
TAVILY_API_KEY=your_tavily_key
OPENAI_MODEL_NAME=gpt-4-turbo-preview  # or your preferred model

3. Start the backend server

cd src
uvicorn connect_pro.app:app --reload --port 8000

Frontend Setup

1. Install dependencies

cd frontend
npm install

2. Start the development server

npm start

The app will be available at http://localhost:3000.

API Reference

Analyze Profile POST /api/analyze

Parameter	Type	Description
query	string	Search query (e.g., "John Smith Software Engineer Google")

Environment Variables

The following environment variables are required:

Variable	Description
OPENAI_API_KEY	Your OpenAI API key
PROXYCURL_API_KEY	Your Proxycurl API key for LinkedIn data access
TAVILY_API_KEY	Your Tavily API key for web search
OPENAI_MODEL_NAME	OpenAI model to use (default: gpt-4-turbo-preview)

Development

The project uses several development tools:

• Black for code formatting
• isort for import sorting
• mypy for type checking
• pytest for testing