This report presents the development of an AI-powered mock interview application designed to help users prepare for job interviews in a realistic and engaging manner. The platform leverages modern web technologies such as React and Next.js for the frontend, PostgreSQL for managing user data, and Google’s Gemini AI API to generate personalized interview questions based on user input. It addresses the gap between conventional interview preparation methods and the demand for dynamic, tailored solutions in today’s job market. Key features include secure user authentication, an interactive dashboard, audio recording for answering questions, and instant feedback. Users can specify job roles, experience levels, and other details to generate relevant questions. The system analyzes recorded responses to provide constructive feedback, enabling users to enhance their confidence and communication skills. This report outlines the technical architecture, features, and functionality of the application while discussing its potential impact. Initial testing has shown that users found the application effective in boosting their readiness for real interviews. Future enhancements include expanding the range of questions, refining feedback mechanisms, and integrating advanced AI capabilities to further improve the user experience.

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AI Interview Mocker

  • Vedant Gorde,
  • Yashodip Kolhe,
  • Piyush Ghanghav,
  • Shreejit Pangavhane,
  • T. Bhaskar

摘要

This report presents the development of an AI-powered mock interview application designed to help users prepare for job interviews in a realistic and engaging manner. The platform leverages modern web technologies such as React and Next.js for the frontend, PostgreSQL for managing user data, and Google’s Gemini AI API to generate personalized interview questions based on user input. It addresses the gap between conventional interview preparation methods and the demand for dynamic, tailored solutions in today’s job market. Key features include secure user authentication, an interactive dashboard, audio recording for answering questions, and instant feedback. Users can specify job roles, experience levels, and other details to generate relevant questions. The system analyzes recorded responses to provide constructive feedback, enabling users to enhance their confidence and communication skills. This report outlines the technical architecture, features, and functionality of the application while discussing its potential impact. Initial testing has shown that users found the application effective in boosting their readiness for real interviews. Future enhancements include expanding the range of questions, refining feedback mechanisms, and integrating advanced AI capabilities to further improve the user experience.