Enhancing Career Guidance for Students Through Retrieval Augmented Generation

In today's scenario, providing specialized career guidance according to one's own unique skill set is very vital for guiding young professionals in fields which they are most suitable for and well equipped with the required skill set to excel in a specific field. Nevertheless, there is a significant obstacle due to the proliferation of areas of work, and this proves to be very big difficulty in identifying a person's niche. We provide an AIbased approach based on Retrieval Augmented Generation (RAG) to tackle this problem. This tool helps professionals find unique and personalized jobs and job listings based on their resumes by utilizing cutting-edge natural language processing and retrieval techniques. The required skill set, education and prior work experience of the user will be easily acquired by parsing their provided resumes. The system offers tailor made recommendations by giving the extracted data from the resumes as prompts to a LLM which utilizes retrieval techniques which retrieves matched job titles from our database. The system then provides the user with live job listings based on the recommended job which are the most suitable for the user, from top job hiring sites to which the user can apply to. The system also provides suggestions on areas the user can develop their abilities to be well equipped for the current job market.