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TechPrep-AI

TechPrep-AI is a mock interview platform designed to help tech professionals prepare for technical interviews. It features an in-browser IDE, fairness detection using MediaPipe, and detailed performance reports for continuous improvement.


Repository Structure

.
└── TechPrep-AI/
├── client/
│ ├── public/
| | └── mediapipe
│ ├── src/
│ │ ├── assets
│ │ ├── components
│ │ └── lib
│ └── .env
└── server/
├── controllers
├── db
├── models
├── routes
├── utils
├── .env
└── main.go

Features

  1. Interactive Mock Interview Platform:

    • In-browser IDE for solving technical tasks.
    • React-based frontend for a seamless user experience.
  2. Fairness Detection:

    • Utilizes MediaPipe to monitor candidate focus during interviews.
  3. Performance Reports:

    • Generates detailed reports highlighting positives, negatives, and improvement areas.

Getting Started

Prerequisites

  • Frontend: Node.js (v20+ recommended).
  • Backend: Go (1.20+ recommended).

Installation

  1. Clone the repository:
    git clone https://github.com/rnkp755/techPrepAI.git
    cd techPrepAI
  2. Create .env file in the server directory and add the following variables:
    PORT =
    MONGODB_URI = ""
    DB_NAME = ""
    SESSION_COLLECTION_NAME = ""
    QUESTION_COLLECTION_NAME = ""
    GEMINI_API_KEY = ""
    FRONTEND_URL = "http://localhost:5173"
    
  3. Run the backend server:
      cd server
      go run main.go
    or
    nodemon --exec go run main.go --signal SIGTERM
  4. Install dependencies for the frontend:
      cd ../client
      npm install
      npm run dev
  5. Access the application in your browser at http://localhost:5173.

About

This project is aimed to help engineering freshers to make them ready for Technical Interviews. Here you can give personalized mock interviews to AI models (on the basis of your expertise) powered by Gemini API with in-built IDE Capabilities.

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