AI-powered LinkedIn connection recommender

The workflow is triggered manually with user input, searches LinkedIn profiles, processes the results using AI, generates connection recommendations, and delivers them via email. It leverages AI to enhance networking opportunities based on insights from profiles.

Good to Know

- Each email is personalized with the user’s name and recommended connections. - Recommendations are based on LinkedIn search results and AI analysis. - The system ensures data privacy by processing inputs securely. - Email notifications include a curated list of potential connections.

How it Works

Profile Analysis Workflow - Get User Data from Email: Manually inputs user email and profile information to initiate the workflow. - Your Profile Information: Provides initial user data for LinkedIn search. - Search LinkedIn Profiles: Queries LinkedIn via an API (e.g., SerpAPI) to gather profile data. - Process LinkedIn Search Results: Extracts relevant details from search results.

AI Recommendation Workflow - AI Profile Analysis: Uses an AI model (e.g., Ollama Model) to analyze profile data and suggest connections. - Create Recommendations: Generates a curated list of potential connections. - Create Final Recommendations: Refines and formats the recommendation list. - Create Email: Prepares a personalized email with the connection list. - Send Email: Delivers the email to the user.

Excel Sheet Structure

- No persistent Excel sheet is required; data is processed in-memory and emailed directly. However, optional logging can be set up: - Optional Log Sheet (Recommendations): - Timestamp: Date and time of recommendation generation. - User Email: User’s email address. - Profile Name: User’s LinkedIn profile name. - Industry: User’s industry. - Recommended Connections: List of suggested connections. - Sent Status: Whether the email was sent successfully.