vardanagarwal/Proctoring-AI

• highreadme#1

  Reposition README H1 to emphasize "system" and "audience"

  Why:

  CURRENT

  # Proctoring-AI
  
  Project to create an automated proctoring system where the user can be monitored automatically through the webcam and microphone. The project is divided into two parts: vision and audio based functionalities. An explanation of some functionalities of the project can be found on my medium article.

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  # Proctoring-AI: An Automated Online Proctoring System
  
  Proctoring-AI is an open-source, automated proctoring system designed to monitor online exam candidates via webcam and microphone, ensuring academic integrity for educational institutions and online learning platforms. It integrates advanced vision and audio functionalities to detect suspicious behavior.

  OpenDoneDismiss
• mediumhomepage#2

  Add homepage URL to repository metadata

  Why:

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  Add the URL to your Medium article (or another project overview page) as the repository's homepage URL in the 'About' section.

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• mediumreadme#3

  Add a "Key Features" section before prerequisites

  Why:

  CURRENT

  ### Prerequisites
  To run the programs in this repo, do the following:
  - create a virtual environment using the command:
    - `python -m venv venv`

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  Insert a new section after the initial project description and before '### Prerequisites' with a title like '## Key Features' that summarizes the system's capabilities from a solution perspective, e.g.:
  
  ## Key Features
  - Automated monitoring of online exam candidates.
  - Real-time detection of eye movement, mouth opening, and head posture.
  - Identification of multiple people or mobile phones in the frame.
  - Audio analysis for speech detection.

  OpenDoneDismiss

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  How to implement an automated online proctoring system using webcam and microphone?

  you: not recommended
  AI recommended (in order):

  1. OpenCV
  2. Dlib
  3. MediaPipe
  4. TensorFlow
  5. Keras
  6. PyTorch
  7. WebRTC
  8. FFmpeg
  9. Mozilla DeepSpeech
  10. Google Speech-to-Text API

  AI recommended 10 alternatives but never named vardanagarwal/Proctoring-AI. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  What Python libraries are best for real-time face detection and eye tracking for monitoring?

  you: not recommended
  AI recommended (in order):

  1. OpenCV
  2. dlib
  3. MediaPipe
  4. Face_recognition
  5. PyTorch
  6. TensorFlow
  7. MTCNN
  8. YOLO
  9. SSD

  AI recommended 9 alternatives but never named vardanagarwal/Proctoring-AI. This is the gap to close.

  Show full AI answer

• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of vardanagarwal/Proctoring-AI?

  pass
  ✓AI named vardanagarwal/Proctoring-AI explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts vardanagarwal/Proctoring-AI in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named vardanagarwal/Proctoring-AI explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo vardanagarwal/Proctoring-AI solve, and who is the primary audience?

  pass
  ⚠AI did not name vardanagarwal/Proctoring-AI — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?