LifeMap: AI-Powered Visual Roadmap Builder for Career Goals

Abstract

This research paper presents LifeMap, an AI-powered visual career roadmap system. Its purpose is to assist individuals in planning their long-term professional goals, tracking their progress, and adjusting them as needed. While traditional task managers focus solely on short-term activities, LifeMap provides a structured visual roadmap that breaks down larger career goals into smaller, achievable steps. The system is grounded in goal-setting theory, self-regulated learning, and self-determination theory, fostering continuous and meaningful career development. LifeMap provides personalized and relevant suggestions using natural language input, embedding-based resource matching, reinforcement learning-based scheduling, and fairness-aware ranking. By analyzing a user's educational background, interests, and career aspirations, the system recommends relevant skills, certifications, internships, and opportunities. Additionally, the platform includes community features that promote collaboration, progress sharing, and motivation, such as groups, discussions, and challenges.

The platform is developed using React.js, Node.js, Express.js, MongoDB, and OpenAI-based models. Overall, LifeMap offers a scalable and human-centered solution that makes career planning more intuitive and effective through visual roadmaps, intelligent AI guidance, and collaborative community support.