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An interview bot which generates questions, evaluates answers and gives feedback.

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LLM-Powered Automation & Productivity with LangChain, N8N & RA

The task is to build an interview bot using LangGraph nodes

Node-1  : generates Questions based on role
Node-2  : evaluates Answers
Node-3  : gives Feedback

DESCRIPTION

node-1: • Generate greeting-message • Ask starting-questions: ◦ name ◦ applied-position ◦ requirements • Get answer from user • Generate questions with "requirement(s)": ◦ basic = 5 ◦ position-related = 23 ◦ personal = 2 • Assign weight to answer


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node-2: • receieve question-set • generate answer for position-related questions • map scores of all questions with 0 initially. • ask one by one and evaluate only the position-related questions: ◦ correct : score += weight ◦ incorrect : score -= 1 second chance : correct : score += weight / 2 incorrect : score -= 2 save the question pass : score -= 3 save the question ◦ pass : score -= 2 save the question


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node-3: • receieve saved-question • congratulate if score >= 80% • not enough score: ◦ generate feedback with questions of wrong answers ◦ send user the area of improvement

About

An interview bot which generates questions, evaluates answers and gives feedback.

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