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Interview Genius AI

Overview

Interview Genius AI is an innovative platform designed to assist individuals in practicing technical interviews using AI-driven tools. The initial phase of the project focuses on resume parsing to extract key information, enabling personalized interview preparation.

Features

  • Resume Upload and Parsing: Users can upload their resumes (in PDF format) for automatic extraction of important details such as name, email, phone number, skills, experience, and education.
  • AI-Generated Interview Questions: Based on the parsed resume data, the platform generates customized interview questions to help users prepare effectively.
  • Interactive Interview Practice: Users can simulate interview scenarios and receive feedback on their responses.
  • Voice-to-Text Integration: Utilizes Assembly AI for voice-to-text conversion during interview practice sessions.

Tech Stack

Frontend

  • React with TypeScript: User interface development.
  • Axios: HTTP requests handling.

Backend

  • Node js: Using nodejs a backend.
  • Prisma: Database ORM for PostgreSQL.
  • Python: Scripting for resume parsing.
  • Expressjs:Used to create the scalable webservers

Development Setup

Prerequisites

  • Node.js and npm installed.
  • PostgreSQL database setup.
  • Python installed.

Backend:

  1. Clone the Repository:

    git clone https://github.com/yourusername/interview-genius-ai.git
cd interview-genius-ai

  2. Navigate to Backend:

    • cd backend
    - Create a copy of .env.example and name the file .env
- Set up Postgres DATABASE_URL in .env file. You can get a free PostgreSQL connection string from Aiven.io.

  3. Install Dependencies:

    npm install

  4. Environment Configuration:

    • Create a .env file in the root directory with your environment variables:

      DATABASE_URL=your_postgresql_database_url
ASSEMBLY_AI_API_KEY=your_assembly_ai_api_key

  5. Run the Application:

    npm run dev

  6. Deployment:

    • npm run deploy

Frontend:

1- Navigate to frontend:

cd frontend

2- Install dependencies:

npm install

3- Run frontend locally:

npm run dev