ProctorAI

ProctorAI is a machine learning-based exam proctoring system using TensorFlow. It monitors students during online exams, detecting suspicious activities like multiple faces, mobile phones, and browser/tab switching. The system locks the browser, logs events, and provides teachers with real-time insights and detailed logs for exam integrity.

👨‍🏫 Target Audience

ProctorAI is primarily designed for teachers or educators who need to conduct secure, proctored online exams. Instead of directly providing students with a Google Form link to an exam, ProctorAI allows teachers to create exam rooms on the platform, much like setting up an MCQ-based Google Form exam. Teachers can securely manage their exams, ensuring academic integrity.

🚀 Features

• Real-Time Monitoring: Uses machine learning models for continuous monitoring during online exams.
• Face Detection: Detects faces to ensure the student is present throughout the exam.
• Suspicious Behavior Detection: Identifies multiple people in the frame, unauthorized devices (e.g., mobile phones), or any abnormal activity.
• Tab-Switching Detection: Logs attempts to switch tabs or exit the exam page.
• Teacher Dashboard: Teachers can create and manage exam rooms, track student progress, and view detailed activity logs.
• Secure Exam Environment: Locks the browser to prevent cheating and ensures that the student cannot access any external resources during the exam.

📋 Prerequisites

Before you begin, make sure you have the following installed:

• Python 3.x
• Django 5.1.1 (or as specified in requirements.txt)

⚙️ Installation

Follow these steps to set up the project on your local machine:

1. Clone the repository:

   git clone https://github.com/AdityaJadhav24/ProctorAI.git

2. Navigate to the project directory:

   cd ProctorAI

3. Set up a virtual environment (optional but recommended):

   python -m venv .venv

4. Activate the virtual environment:

   For Windows:

   .venv\Scripts\activate

   For macOS/Linux:

   source .venv/bin/activate

5. Install dependencies:

   pip install -r requirements.txt

6. Run the development server:

   python manage.py runserver

The application should now be running at http://127.0.0.1:8000/.

📂 Project Structure

Here's a quick overview of the main directories and files in the project:

• proctorAI/: Contains the main Django application.
• monitoring/: Contains the files related to exam proctoring.
• users/: Contains the files related to user login and signup.
• static/: Contains static files like images, CSS, and JavaScript used in the project.
• templates/: Includes HTML templates for the front-end UI.
• requirements.txt: Lists the Python dependencies for the project.

🎮 Usage

1. Teacher Login: Log in to create exam rooms.
2. Create Exam Room: Provide a Google Form link to generate a unique exam room for students.
3. Student Join: Students can join the exam by entering their details, exam code and starting the test.
4. Real-Time Monitoring: The system will monitor student activity, including face detection, suspicious behavior, and tab-switching.
5. Activity Logs: Teachers can view detailed logs of student activities created during exam