A Review on AI-Based Chatbots for Personalized Career Guidance
DOI:
https://doi.org/10.15662/IJARCST.2025.0805011Keywords:
Sentiment analysis, chatbot interface, natural language processing (NLP), career guidance systems, machine learning (ML), artificial intelligence (AI), personalized counselling, student supportAbstract
This study looks at creating an AI-powered career counselling system to help people choose the right career based on their personal data. To suggest careers that fit, the system collects information about education, skills, interests, and preferences, then uses machine learning models like K-Nearest Neighbours, Random Forest, Support Vector Machine, and Decision Tree. 8 Additionally, it features a chatbot that was created using technologies like spaCy and BERT, 1 enabling the user to communicate naturally and get advice in an approachable conversational style. For real-time advice, the procedure calls for data preparation and collection, model training, and chatbot deployment. AI enables the system to better understand user input, customize responses based on the user's needs, and even consider their mood to provide more individualized advice. This approach is scalable, efficient, and web-based in contrast to traditional career counselling, which may be time-consuming, expensive, or challenging to access. It aims to streamline career decisions, make them better informed and tailored to an individual's values, goals, and strengths, and offer a user-friendly platform that combines intelligent algorithms with an interesting user interface.
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