Text and voice-enabled chatbot enhancing the user experience in career counselling domain

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Banerjee, Anshika
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MSc in Information Systems with Computing
Dublin Business School
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This dissertation explores the need of conversational agents, such as chatbots within the career counselling domain in educational institutes. The artefact is mainly aimed at college students who need assistance while looking for jobs. International student face problems while looking for jobs in a different country. Sometimes it can be a language barrier. It is observed that, in most institutions there are only a handful of career counsellors in the college or university. These individuals are given the responsibility to guide students into their respective jobs. Due to the sheer number of students at any institute, the counsellors are always outnumbered. Thus, every student, does not get the complete benefits of the system. This artefact aims to solve all of the above problems. The major contribution of this master’s thesis will to provide a chatbot which aids in the process of career counselling. Using the help of AIML and NLP the chatbot becomes a friendly assistant for the students looking for job prospects. The artefact is a safe and stress reducing interface for students enduring the job search phase. Google APIs and customized AIML libraries specifically for the career counselling domain are used to further advance the chatbot. The speech to text feature is added to push for greater user experience.