Automate Personalized Interview Prep PDFs for Campus Placements
Streamline the creation of customized interview preparation materials for campus placement candidates using AI and automation.
This workflow automates the generation of personalized interview preparation PDFs for students shortlisted for campus placements. By integrating AI models via LangChain and Ollama, it analyzes candidate profiles against job descriptions to produce detailed reports. These reports include skill gap analyses, personalized interview questions, group discussion topics, and preparation plans. The workflow also manages data logging in Google Sheets and sends the final PDFs to students via email, ensuri
- Platform
- n8n
- Category
- Education
- Price
- $14.99
- Creator
- Diego Morales
- code
- merge
- emailSend
- stickyNote
- formTrigger
- googleSheets
- apiTemplateIo
- agent
- extractFromFile
- lmChatOllama
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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