This n8n workflow creates an intelligent, voice-based interview system leveraging AI to simulate real interview scenarios. It begins with a webhook trigger receiving candidate resumes, job descriptions, and interaction history. Using conditional nodes, it distinguishes between starting a new interview or continuing an ongoing conversation. The workflow constructs tailored prompts for an AI language model, specifically Google Gemini, to generate relevant and context-aware interview questions. The questions and updated conversation history are then sent back to the frontend interface, enabling a seamless voice-interview experience. Practical applications include automated interview practice for job seekers, remote interview simulations, and AI-driven HR screening tools. The workflow integrates AI capabilities, conversation management, and webhooks for a smooth REST API-based communication with a web client.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, if, merge, respondToWebhook, set, stickyNote, webhook