Design and implementation of an AI-based Career Counsellor Web Application

Choosing an appropriate career path is a challenging task for many students due to limited access to personalized guidance and rapidly evolving industry demands. This paper presents the design and implementation of an AI-based Career Counsellor Web Application that provides intelligent, customized career recommendations using modern large language model technology. The system collects user information through a structured multi-step assessment covering academic background, interests, strengths, and career goals, and processes this data using the Gemini 2.5 AI model to generate suitable career paths along with detailed learning roadmaps and skill requirements. The platform also includes an interactive AI chat counsellor that offers real-time guidance and answers career-related queries. Built using a full-stack architecture with React, Express.js, PostgreSQL, and REST APIs, the application ensures scalability, responsiveness, and secure data handling. The proposed system improves accessibility to career counseling services and supports informed decision-making for students and professionals. Overall, the platform demonstrates how AI-driven recommendation systems can transform traditional career guidance into an intelligent, user-friendly digital solution.