LinkedIn Ice Breaker

LinkedIn Ice Breaker is a Python application that helps you quickly gather and summarize information about a person from their LinkedIn profile. It's designed to prepare you for meetings, interviews, or networking events by providing a concise summary and interesting facts about your contact.

This project is part of the exercises for the LangChain- Develop LLM powered applications with LangChain course by Eden Marco, and is available via Udemy here. Marco's original project is available here. Note that Marco's version uses Flask instead of Streamlit for the web interface, and uses Tavily instead of SerpApi for the LinkedIn profile URL lookup. I forked Marco's repo and modified it to use Streamlit and SerpApi, and added some additional exercises as well. For anyone looking to learn LangChain, I highly recommend the course!

Features

• Automatic LinkedIn profile URL lookup based on a person's name
• LinkedIn profile scraping
• AI-powered summary generation, including:
  • A short summary of the person's professional background
  • Two interesting facts about the person
• Profile picture URL retrieval

Technologies Used

• Python 3.x
• LangChain
• OpenAI's GPT models
• Custom LinkedIn scraping module
• Streamlit for the web interface
• SerpApi for the LinkedIn profile URL lookup

Setup

1. Install the required dependencies:

   pip install -r requirements.txt
   

2. Set up environment variables: Create a .env file in the root directory and add your API keys:

   OPENAI_API_KEY=your_openai_api_key
   PROXYCURL_API_KEY=your_proxycurl_api_key
   SERP_API_KEY=your_serp_api_key
   
   

3. Run the application:

   streamlit run app.py
   

Then, follow the instructions in the web interface to input a person's name and generate their LinkedIn profile summary.

License

This project is licensed under the Apache License, Version 2.0 (APL 2.0). See the LICENSE file for details.