AI- Driven Career Path Recommendation and Guidance System

The use of Artificial Intelligence in career guidance has gained importance due to rapidly evolving job market demands and the limitations of traditional counselling systems, which often provide generic and non-personalized recommendations. This paper presents an AI-Driven Career Guidance and Development Platform that integrates key functionalities such as resume building, interview preparation, skill analysis, and career recommendation into a unified system. The platform is developed using Next.js for the frontend, Clerk for authentication, Prisma ORM with NeonDB for database management, and Inngest for handling asynchronous background workflows. It leverages the Google Gemini API to generate context-aware outputs, including resume content, interview questions, and personalized career suggestions based on user inputs such as skills, interests, and experience. The system relies on structured data combined with prompt-based AI generation rather than complex standalone machine learning models, ensuring simplicity and scalability. Performance is evaluated based on response time, relevance of generated outputs, and user interaction efficiency. Results indicate improved user experience, faster resume creation, and more relevant career guidance. The proposed architecture demonstrates how modern full-stack technologies combined with generative AI can deliver scalable and practical career support solutions.