Abstract: In today's rapidly changing world, personal and professional development is crucial for individuals to navigate their careers successfully. This abstract explores the concept of a personalized system based career guidance system that empowers individuals to reflect on their skills, interests, and goals. The system incorporates intelligent recommendation mechanisms to guide users toward suitable career paths and skill development opportunities. By leveraging advanced algorithms and machine learning techniques, this system aims to provide tailored suggestions, enabling users to enhance their skillsets and make informed decisions about their careers. Limbic mate system works on integration of facial-based emotion recognition, user interest-based recommendation systems, asynchronous chat rooms, and personal diaries represents a multifaceted approach to enhancing human-computer interaction and emotional well-being. Leveraging advanced facial recognition technology, the system accurately detects and interprets users' emotions, enabling a more empathetic and responsive user experience. Concurrently, a recommendation system analyses users' interests and preferences, delivering personalized content and suggestions, fostering engagement and satisfaction. The asynchronous chat room feature provides users with a flexible platform for communication, transcending geographical boundaries and time zones, facilitating meaningful interactions at their convenience. Additionally, the incorporation of a personal diary feature offers users a private space to reflect, express emotions, and track personal growth, promoting emotional catharsis and self- awareness. This holistic integration not only enriches digital interactions but also nurtures users' emotional intelligence, fostering a more empathetic and fulfilling online environment.
Keywords: Limbic Mate, Emotion Detection, Personal Dairy, Chatroom, Asynchronous system, Recommendation System, Area Of Interest.
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DOI:
10.17148/IJARCCE.2024.131022
