MOCK MENTOR

Computer Engineering

Interviews are crucial for candidates because they are the occasion when all of your efforts are tested in order to get the desired and profitable outcomes in life.It is extremely important to our educational system and hiring procedure since they help in making the best choice of applicant based on qualifications. Through practice interviews, we may improve our communication and self-assurance using text speech , which will help us perform better by speech out along with prompting questions. This article proposed an AI-based platform for mock interviews that would serve as a conduit between practice mode and the actual interview. Based on an amalgamation of three factors named emotions, confidence, and knowledge base, our system will evaluate the user.Haar cascade frontal face is used to analyze facial expressions to determine emotions. speech recoganization is based on speech synthesis api and Pydub au which will be used to identify the feeling among the 7 categorical emotions and evaluate confidence using Haar cascade frontal face algorithm. this technique will boost a candidate's confidence in addition to reducing stress and anxiety before a real job interview. Students that are getting ready for interviews can benefit from the mock mentor method.Prior to an interview, candidates take a practice test to ease their stress and anxiety levels and improve the interview process.It is the candidate's own appraisal of themselves. It involves user and computer interaction. The constructed database in mysql contains the questions and responses. The user's answers are compared to the answers kept in the database, and the output is an analysed summary report that is used to gauge the correctness using sentence matching technique.

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