Querell-AI 🐿️

Introduction

Welcome to Querell-AI Interviewer, an advanced chatbot powered by the formidable OpenAI API! This AI interviewer is designed to revolutionize technical interviews in the world of React and Node.js development.

Demo

https://www.loom.com/share/2984fd855cd044188b8ad91b8293d62c?sid=2d5edb9b-10a8-46da-b20b-2519ec5d5e2a

Youtube 👇👇

https://youtu.be/Tt1qdpOpB8I

AWS Amplify Deployed Link 👇👇

https://main.d32ba38dimvjzi.amplifyapp.com

Features

• Seamless React & Node.js Assessments: Conduct tech interviews with a focus on React and Node.js domains, evaluating candidates' proficiency and coding skills with precision.

• Customizable Technical Evaluations: Tailor the interview process based on specific React and Node.js roles and expertise levels.

• Extensive Knowledge Repository: Querell-AI Interviewer covers everything from React components and hooks to server-side rendering and asynchronous programming.

• Insightful Analysis & Reports: Receive detailed reports highlighting candidates' strengths, areas for improvement, and overall performance.

• Data Security & Privacy Assurance: We value data security and privacy, ensuring a safe and confidential interview experience.

• Seamless OpenAI API Integration: Powered by OpenAI's API, ReactNode AI Interviewer integrates into your technical interview workflow effortlessly.

• Admin Panel - Read All Responses: New feature! Access the admin panel to read all candidate responses for thorough evaluation.

Note

• During testing, I utilized the GPT-3.5 turbo model, which has limitations in terms of available tokens. As a result, I constrained the AI to ask only 3 questions to avoid running out of tokens and having it repeat itself.
• To enhance its performance and capabilities, future iterations could benefit from utilizing GPT-4, a more powerful language model.

Technologies Used

• Node.js: Backend server for handling API requests and business logic.
• React.js: Frontend framework for building the user interface.
• Google Cloud Functions: Serverless function deployment for scalable backend services.
• Docker: Containerization technology for easy deployment and management.
• PostgreSQL: Object-Relational Database for data management and storage.
• NeonDB: Incorporating NeonDB for enhanced data management capabilities.
• Prisma: Modern database toolkit for ORM and query building.
• OpenAI API: Powering the advanced chatbot capabilities, providing a seamless interview experience.
• AWS Amplify: Hosting static site (Frontend/Client Deployement).

Getting Started

Follow these steps to get started with Querell-AI Interviewer:

npm install
cd backend
npm install
npm start
cd ..
npm run dev

• Make sure to go to the /pdf endpoint, whether it is in localhost or Vercel.
• Then input the admin password as "AdminOnly1234".
• Upload your API key and PDF for smooth operation.

1. Clone the repository: git clone https://github.com/your-username/reactnode-ai-interviewer.git
2. Install the required dependencies: npm install
3. Run the application: npm start
4. Access the ReactNode AI Interviewer at http://localhost:3000

Docker Deployment

This project is also Dockerized, allowing easy deployment in containers. To run the application using Docker, follow these steps:

1. Make sure you have Docker installed and running on your system.
2. Build the Docker image: docker build -t reactnode-ai-interviewer .
3. Run the Docker container: docker run -p 3000:3000 reactnode-ai-interviewer

Deployed on Google Cloud Functions

The backend Node.js code has been deployed on Google Cloud Functions to provide a scalable and serverless environment. The Docker container is used to deploy the application on Google Cloud Functions.

Future Features Plans

• We are planning to add a feature of uploading a resume and taking interviews based on it.

Let Querell-AI Interviewer elevate your tech interviews to a whole new level! 🚀 Join the tech hiring revolution with us!