Accessible Career Counselling for All: Building Lightweight, Serverless Solutions with OpenRouter

Career guidance is a critical but often inaccessible service, especially for underserved communities.This paper introduces a lightweight, serverless solution that leverages Large Language Models (LLMs) via OpenRouter to deliver personalised career counselling.Our system accepts user input in natural language or structured form, processes it using OpenRouter's Gemini 2.0 model, and returns tailored career suggestions.The architecture eliminates the need for heavy compute resources or databases, making it scalable and deployable in low-resource environments.Results demonstrate the feasibility of integrating LLMs into everyday guidance systems with minimal infrastructure.