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Mock Master is an AI-powered platform for conducting mock interviews and providing instant feedback to help candidates improve their performance. Built with Next.js, Tailwind CSS, and Clerk for authentication, and deployed on Vercel.

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harshaltupe12/mock-master

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How to Fire it up...

To start the project :

npm run dev

To Access the database :

npm run db:studio

To Update database :

npm run db:push

Mock Master

Welcome to Mock Master, an innovative platform designed to help job candidates ace their interviews through realistic mock interview sessions with AI-generated feedback.

🚀 Project Overview

Mock Master is built to provide a seamless and effective interview preparation experience by leveraging the power of AI. With real-time feedback and detailed analysis, candidates can improve their responses, boost their confidence, and track their progress over time.

🌟 Features

  • AI-Powered Feedback : Mock Master uses Google Gemini AI to simulate realistic interview scenarios and provide instant feedback on candidates' answers.

  • Secure Authentication : Integrated Clerk for robust and secure user authentication.

  • User-Friendly Interface : Developed with Next.js and styled using Tailwind CSS and Shadcn for a sleek, responsive, and intuitive user experience.

  • Efficient Backend : Powered by Drizzle ORM as middleware and PostgreSQL (Neon database) for reliable and efficient data management.

  • Scalable Deployment : Deployed on Vercel, ensuring high performance and scalability.

💻 Technologies Used

Frontend :

  • Next.js
  • Tailwind CSS
  • Shadcn

Backend :

  • Drizzle ORM
  • PostgreSQL (Neon database)

Authentication :

  • Clerk

Deployment :

  • Vercel

AI Integration :

  • Google Gemini AI

Snapshot / Images :

HomePage

Screenshot (333)

Login Page

Screenshot (334)

Dashboard

Screenshot (335)

Start page

Screenshot (337)

Interview page

Screenshot (338)

Feedback page

Screenshot (339)

Responsiveness

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About

Mock Master is an AI-powered platform for conducting mock interviews and providing instant feedback to help candidates improve their performance. Built with Next.js, Tailwind CSS, and Clerk for authentication, and deployed on Vercel.

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