🧠 Interview Automation (Open-Source Prototype)

This repository contains the open-source version of my original Interview Automation Platform — built to showcase the core workings and prototype of the system.
The full project is non-open-source due to proprietary components and integrations, but this repo demonstrates the concept, architecture, and base implementation of how the system functions.

🚀 Project Overview

Interview Automation is a next-gen platform that enables companies to conduct AI-driven automated interviews for shortlisted candidates — completely online, with real-time integrity checks and intelligent scoring.

In this open-source version, you’ll find a simplified prototype that illustrates:

• Candidate login and resume upload
• Dynamic, AI-generated questions using LLMs
• Evaluation pipeline for knowledge, confidence & role suitability
• Basic monitoring features (camera access & tab-switch detection)
• Interview session recording (concept demonstration)

💡 Core Features (in Full Project)

Feature Description

• 🤖 AI Interviewer LLM-powered interviewer that asks role-specific, adaptive questions
• 📄 Resume Parsing Extracts key skills and experience to tailor the interview flow
• 📹 Integrity System Monitors camera and detects tab switches to prevent misconduct
• 🧮 Candidate Scoring Evaluates candidates on multiple parameters — knowledge, confidence, and fit
• 📊 Admin Dashboard Provides data-driven insights and recorded interview sessions for recruiters

🧩 This Open-Source Prototype Includes

• Frontend + basic backend setup
• Simplified candidate flow
• Sample LLM-based Q&A pipeline (mocked for demonstration)
• Minimal design for quick setup and understanding

⚙️ Tech Stack

• Frontend: React / Next.js
• Backend: Django / Node.js (simplified for open-source)
• AI Layer: OpenAI / Hugging Face APIs (demo mode)
• Database: PostgreSQL / SQLite (for prototype)
• Monitoring: Browser APIs for camera and tab tracking

🧠 Purpose of This Repository

• The repository focuses on showcasing:
• Intelligent scheduling logic that matches candidates and interviewers based on availability and skill requirements.
• Automated email and calendar integration.
• Role-based access and workflow automation.
• Scalable backend design for future integration with enterprise systems

This repo is not the full product, but a demonstration build created to:

• Explain the project’s architecture and workflow
• Show how AI-driven interview automation works
• Provide an educational and reference example for developers and recruiters