9th International Conference on ICT for Sustainable Development

Authors - Kanishk Arya, Vedant Deshmukh, Saahil Tamboli, Sarika Bobde, Ruhi Patankar, Anushka Wani, Ketaki Dabade, Sakshi Ubale
Abstract - In today’s day and age, students have a large number of career choices, which leads to a lot of ambiguity regarding their future. Traditional career guidance methods often fall short in providing personalized recommendations tailored to individual students’ unique aptitudes, academic performance, and preferences. This paper introduces Skillset Sherpa, an innovative software solution that utilizes artificial intelligence (AI) and natural language processing (NLP) to address these limitations. Skillset Sherpa integrates three key components: the RIASEC (Holland Codes) aptitude test, an optical character recognition (OCR) technique for extracting academic performance data from marksheets, and a large language model (LLM) to generate personalized career recommendations. This system considers a student’s strengths, interests, and academic record to provide data-driven guidance. Skillset Sherpa has the potential to bridge the gap between traditional career guidance methods and the growing need for individualized support, ultimately empowering students to make informed decisions about their future. The GitHub repository for the same can be found here: https://github.com/Parzival7566/SkillSet- Sherpa-Final