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