Optimize Resumes & Generate Cover Letters with Gemini AI and PDF.co

This n8n workflow automates the process of optimizing resumes and generating personalized cover letters using Google Gemini AI and PDF.co, triggered by a form submission. It intelligently processes uploaded resumes, extracts key information, and then crafts tailored cover letters based on a job description.

What it does:

1. Triggers on Form Submission: The workflow starts when a user submits a form, typically containing a resume file and a job description.
2. Extracts Resume Text: It extracts the text content from the uploaded resume file (e.g., PDF, DOCX).
3. Optimizes Resume with Gemini AI:
   • It sends the extracted resume text and the job description to the Google Gemini Chat Model.
   • Gemini AI is prompted to optimize the resume by suggesting improvements and tailoring it to the specific job description.
   • The AI also extracts key information from the resume, such as the applicant's name, contact details, and relevant skills.
4. Generates Cover Letter with Gemini AI:
   • Using the optimized resume data and the job description, Gemini AI generates a personalized cover letter.
   • The cover letter is designed to highlight the applicant's suitability for the role based on the provided job description.
5. Creates PDF Cover Letter (Placeholder): A placeholder HTTP Request node is included, indicating where an integration with a PDF generation service (like PDF.co, as hinted by the directory name) would be used to convert the generated cover letter text into a professional PDF document.
6. Saves to Google Drive (Placeholder): A Google Drive node acts as a placeholder for saving the generated documents (optimized resume, cover letter PDF) to a specified Google Drive folder.
7. Sends Email Notification (Placeholder): A Gmail node is included to demonstrate sending an email notification with the generated documents to the applicant or a recruiter.
8. Conditional Processing: An If node and a Switch node are present, suggesting potential conditional logic within the workflow, such as checking for specific keywords, file types, or processing different types of submissions.
9. Data Manipulation: Edit Fields (Set) and Code nodes are used for transforming and manipulating data throughout the workflow, ensuring the correct format for AI prompts and subsequent actions.
10. Merges Data: A Merge node is used to combine data streams, ensuring all necessary information is available for later steps.

Prerequisites/Requirements:

• n8n Instance: A running instance of n8n.
• Google Gemini API Key: Access to the Google Gemini AI model via an API key.
• Google Drive Account: For saving generated documents.
• Gmail Account: For sending email notifications.
• PDF Generation Service (e.g., PDF.co): While a direct node for PDF.co is not in the provided JSON, the HTTP Request node and the directory name suggest its intended use. You would need an account and API key for your chosen PDF service.
• n8n Form Trigger: The workflow is initiated by an n8n form submission.

Setup/Usage:

1. Import the Workflow: Import the provided JSON into your n8n instance.
2. Configure Credentials:
   • Google Gemini Chat Model: Configure your Google Gemini API credentials.
   • Google Drive: Set up your Google Drive OAuth credentials.
   • Gmail: Set up your Gmail OAuth credentials.
   • (Optional) PDF Generation Service: If using PDF.co or a similar service, configure the HTTP Request node with the appropriate API endpoint and credentials for PDF generation.
3. Configure the On form submission Trigger:
   • Define the fields for your form, including an input for the resume file and a text area for the job description.
   • Copy the webhook URL provided by the trigger node to embed in your application or share with users.
4. Customize AI Prompts: Adjust the prompts in the Google Gemini Chat Model nodes to fine-tune resume optimization and cover letter generation according to your specific requirements.
5. Configure File Operations:
   • In the Google Drive node, specify the target folder where the generated documents should be saved.
   • In the placeholder HTTP Request node, configure the API call to your PDF generation service, passing the generated cover letter text.
6. Configure Email Notifications: In the Gmail node, set the recipient, subject, and body of the email, attaching the generated resume and cover letter.
7. Activate the Workflow: Once configured, activate the workflow to start processing form submissions.