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🎓 Smart Exam Proctor

An AI-powered Smart Exam Proctoring System developed using Python, OpenCV, Face Recognition, Tkinter, and SQLite. The system helps monitor online examinations by verifying student identity and detecting suspicious activities.

🚀 Features

  • Student Registration
  • Face Dataset Collection
  • Face Recognition
  • Live Camera Monitoring
  • Student Authentication
  • Multiple Person Detection
  • AI-based Exam Monitoring
  • SQLite Database Management
  • Attendance Logging
  • User-Friendly GUI

🛠 Technologies Used

  • Python
  • OpenCV
  • Tkinter
  • SQLite
  • NumPy
  • Pillow

📁 Project Structure

SmartExamProctor/
│
├── assets/
├── database/
├── detection/
├── gui/
├── models/
├── reports/
├── utils/
├── main.py
├── requirements.txt
└── README.md

⚙ Installation

Clone the repository

git clone https://github.com/puser-p/SmartExamProctor.git

Go into the project folder

cd SmartExamProctor

Install dependencies

pip install -r requirements.txt

Run the project

python main.py

📸 Project Screenshots

🔐 Login Page

The login page provides secure access to the Smart Exam Proctoring System. Only authorized users can log in and access the application.

Login Page

📈 Dashboard

The main dashboard acts as the central control panel of the application, providing quick access to different modules such as student management, examination, reports, and analytics.

Dashboard

📋 Student Management

This module allows administrators to register, update, delete, and manage student records. It also stores student information in the SQLite database.

Student Management

📝 Online Exam Window

The exam interface where students take the examination. During the exam, AI continuously monitors the candidate through the webcam to maintain exam integrity.

Exam Window

📤 Exam Submission

After completing the examination, students can securely submit their answers. The system records the submission and updates the database automatically.

Submit Page

📊 Analytics Dashboard

The analytics dashboard provides graphical insights into examination data, student performance, attendance, and other important statistics.

Analytics Dashboard

📑 Reports

The reports module generates examination reports, attendance records, and other useful information that can be viewed or exported by the administrator.

Reports

🗄️ Exam Results Database

This screenshot shows the database storing students' examination results, helping maintain accurate records for evaluation and future reference.

Exam Results Database

🗄️ Student Answers Database

This database stores the answers submitted by students during examinations for result processing and verification.

Student Answers Database

📌 Future Improvements

  • Eye Tracking

  • Head Pose Detection

  • Cloud Database

  • Web Dashboard

  • AI-Based Cheating Detection

👩‍💻 Author

Pragati Singhal

GitHub: https://github.com/puser-p