📹 Video Interview Proctoring System

A smart proctoring tool that uses browser-based AI to monitor candidates during video interviews, ensuring integrity by detecting focus loss and unauthorized items.

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✨ Core Features

👨‍💻 Real-time Focus Detection

• Looking Away: Flags when a candidate turns their head away from the screen for more than 5 seconds.
• User Absent: Flags when no face is detected for more than 10 seconds.
• Multiple Faces: Flags if more than one face appears in the video.

📱 Suspicious Item Detection

• Identifies unauthorized items such as a cell phone or book in the candidate's view.

📄 Automated Reporting

• Logs all suspicious events with timestamps in a clean interface.
• Calculates a final Integrity Score and generates a downloadable PDF report.
• Saves a permanent report to a database for later review.

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🛠️ Tech Stack

This project is a full-stack application that performs all heavy AI processing directly in the user's browser, ensuring privacy and real-time performance.

Component	Technology	Purpose
Frontend	React.js (Vite)	Building the interactive user interface.
AI / ML	TensorFlow.js	Running AI models directly in the browser.
Face Tracking	MediaPipe Face Mesh	Detect facial landmarks for focus analysis.
Object Detection	COCO-SSD Model	Identify unauthorized objects.
Backend	Node.js & Express.js	API to save and retrieve reports.
Database	Google Firestore	Securely storing the final reports.

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🚀 How to Run This Project Locally

Follow this step-by-step guide to run the project on your local machine.

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🔹 Step 1: Prerequisites

• Install Node.js (v18 or higher).
• Create a free Google Firebase account for the database.

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🔹 Step 2: Clone the Project

git clone https://github.com/Sumitgitup/Video-procotoring-app.git

cd Video-procotoring-app

🔹 Step 3: Configure Firebase (Crucial Step!)

Create a Firebase Project

Go to the Firebase Console → Create a new project.

Create a Firestore Database

Navigate to Build > Firestore Database → Click Create database → Start in Test Mode.

Generate a Secret Key

In Firebase, go to Project Settings → Service Accounts.

Click Generate new private key → confirm → a .json file will download.

Add Key to Project

Move the downloaded .json file into the backend/ folder.

Rename it to:

serviceAccountKey.json

⚠️ Security Note: This key file is secret!

The .gitignore is already configured to ignore this file, so it won’t be pushed to GitHub.

🔹 Step 4: Set Up and Run the Backend

Open a terminal for the backend:

1. Navigate to backend

cd backend

2. Install dependencies

npm install

3. Start the backend server

npm run dev

✅ Backend will run at: http://localhost:8080

🔹 Step 5: Set Up and Run the Frontend

Open another terminal for the frontend:

1. Navigate to frontend

cd frontend

2. Install dependencies

npm install

3. Start the frontend app

npm run dev

✅ Frontend will open at: http://localhost:5173

You can now start the proctoring session! 🎥