Future Map: AI-Powered Personalized Learning and Career Path Platform

Abstract

Choosing the right career path isn’t as straightforward as it used to be. With so many options and rapidly changing technologies, students often find themselves unsure about what direction to take. Traditional career guidance methods usually depend on fixed questionnaires and general suggestions, which don’t always reflect an individual’s actual interests, skills, or goals. This paper presents an AI-based career guidance system designed to offer more personalized and practical recommendations. Instead of relying on a single technique, the system combines machine learning, natural language processing, and recommendation methods to better understand user inputs such as interests, preferences, and skill levels. It includes features like career prediction, skill-gap identification, learning roadmap generation, and college recommendations. An interactive chat interface is also included to make the system easier to use and more engaging. The system is built using a modern full-stack approach that supports real-time interaction and scalable data handling. By bringing together multiple AI components into one framework, the goal is to provide more relevant and user-focused career guidance without making the system overly complex. The approach focuses on practicality, making it suitable for real-world use while still maintaining good accuracy and adaptability.