Abstract
Career counselling is a process that focuses on helping an individual understand his/her own self, as well as work trends so that they can take an informed decision about career and education. Therefore, career counselling plays a very vital role but there is a lack of importance for career counselling in schools and colleges. Hence, this paper reflects the methods through which personalized career counselling for students can be implemented. To achieve this, a chatbot is used which is a computer program that mimics human conversations using artificial intelligence and cognitive science. Users can start conversations with the bot on a different channel like Facebook Messenger, Skype, Slack and SMS. Initially, the chatbot will start by asking the user for the personal information. Next, the bot will conduct a series of psychometric tests specifically holland test for suggesting career options which are best suited and big 5 test for identifying a user’s overall personality. According to the results, the bot will suggest a list of job opportunities well suited for the user. Once the user has selected a job, the chatbot will start mentoring the user in achieving all the necessary skill set for that particular job. All this user information will be stored in MongoDB. While the user interacts with the user, the chatbot will capture the facial and textual emotions of the user to know the interests of the user. During the training process, the bot will create and maintain a progress report and update this time to time in the user’s E-portfolio. This portfolio will help the user as well as the job providers in recognizing the genuine skill set of the user. Usually, the mentoring process is affected by the language barrier and can result in extreme misunderstanding, and our chatbot is capable enough to interact with the user in their preferred language and will be available 24 × 7 (Brown, Career information, career counselling, & career development (2006) [1]).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Goldberg LR (1992) The development of markers for the Big-Five factor structure. Psychol Assess 4(1):26
Duijst D (2017) Can we improve the user experience of chatbots with personalisation. In: Linebaugh T The effect of Holland’s RIASEC interest inventory on the vocational identity development of Japanese high school students
Brown D (2006) Career information, career counseling, & career development, 9th edn
Chowdhury GG (2003) Natural language processing. Ann Rev Inf Sci Technol 37(1):51–89
D’silva GM et al (2017) Real world smart Chatbot for customer care using a software as a service (SaaS) architecture. In: 2017 international conference on I-SMAC (IoT in social, mobile, analytics and cloud) (ISMAC), IEEE
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
D’Silva, G., Jani, M., Jadhav, V., Bhoir, A., Amin, P. (2020). Career Counselling Chatbot Using Cognitive Science and Artificial Intelligence. In: Vasudevan, H., Michalas, A., Shekokar, N., Narvekar, M. (eds) Advanced Computing Technologies and Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-3242-9_1
Download citation
DOI: https://doi.org/10.1007/978-981-15-3242-9_1
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3241-2
Online ISBN: 978-981-15-3242-9
eBook Packages: EngineeringEngineering (R0)