项目介绍

narender-rk10/MyProctor.ai-AI-BASED-SMART-ONLINE-EXAMINATION-PROCTORING-SYSYTEM 是一个托管在 GitHub 上的开源项目,主要使用 HTML 编写,目前获得 236 个 Star、120 次 Fork。

仓库全名
narender-rk10/MyProctor.ai-AI-BASED-SMART-ONLINE-EXAMINATION-PROCTORING-SYSYTEM
Star 数
236
Fork 数
120
未关闭 Issue
20

README 摘要

MyProctor.ai-AI-BASED-SMART-ONLINE-EXAMINATION-PROCTORING-SYSYTEM YOUTUBE LINK OF THE PROJECT: https://youtu.be/E117db5VsTs MODEL LINK YOLO V3: https://pjreddie.com/media/files/yolov3.weights IF YOU ARE LOOKING ONLY FOR PROCTORING REFER THIS LIBRARY: Package Link: https://pypi.org/project/proctoring/ Github Link: https://github.com/narender-rk10/proctoring LICENSE: This work is licensed under a Creative Commons…

完整内容见 GitHub 原始 README 或本页 。

常见问题

MyProctor.ai-AI-BASED-SMART-ONLINE-EXAMINATION-PROCTORING-SYSYTEM 用什么语言开发?

主要使用 HTML 编写,目前有 236 个 Star。

如何获取 MyProctor.ai-AI-BASED-SMART-ONLINE-EXAMINATION-PROCTORING-SYSYTEM 的源码?

可以直接克隆仓库:git clone https://github.com/narender-rk10/MyProctor.ai-AI-BASED-SMART-ONLINE-EXAMINATION-PROCTORING-SYSYTEM.git,默认分支为 main;安装与运行步骤见仓库 README。

MyProctor.ai-AI-BASED-SMART-ONLINE-EXAMINATION-PROCTORING-SYSYTEM 最近还在维护吗?

仓库最近一次更新为 1 周前,当前有 20 个未关闭 Issue;Star 数为 236,可作为社区活跃度的参考。

关于

This is a AI Based Smart Exam Proctoring System using python flask, mysql as database, yolov4

描述取自 GitHub 官方 API,中文内容由 GitRead 中文社区 编辑团队整理。

语言占比

CSS
HTML
JavaScript
Python

README

MyProctor.ai-AI-BASED-SMART-ONLINE-EXAMINATION-PROCTORING-SYSYTEM

IMAGE ALT TEXT HERE

https://youtu.be/E117db5VsTs

https://pjreddie.com/media/files/yolov3.weights

IF YOU ARE LOOKING ONLY FOR PROCTORING REFER THIS LIBRARY:

LICENSE:

Creative Commons Licence
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

PROPOSED SYSTEM

A) Authentication with Image Verification

  1. Basic Login, Register, Forgot Password, Change Password, etc
  2. System allows only one login per user, so that user can’t do any unfair means.
  3. System will verify image of user at every time of login and also in exam using face recognition technology.

B) Professor

  1. Using AI , professor can generate questions & answers, the 2 types of questions & answer can be generated: objective & subjective.
  2. Professor can create exam, view exam history, share details of exam with students, view questions, update, delete questions, but update & delete questions will not work at the time of exam & after the exam.
  3. Professor can insert marks of subjective & practical exam & also publish the results, view results.
  4. Professor can view Live Monitoring of Exam & also can view proctoring logs of the students.
  5. Professor can report problems, recharge exam wallet, view FAQ, contact us.

C) Students

  1. Give/Take Exam
  2. Check Exam History
  3. Check Results
  4. Report Problems

D) Exam

  1. Types of Exam Supported:
    • Objective
    • Subjective
    • Practical
  2. If webpage is refresh then the timer will not be refreshed
  3. Support for Negative Marking.
  4. Support for randomize questions.
  5. Support for Calculator for Mathematical type of Exam
  6. Support for 20 types of Compilers/Interpreter for programming practical type of Exam.
  7. For Objective type of Exam:
    • Single page per question
    • Bookmark question
    • Question Grid with previous & next button
    • At the time of exam submission all questions statistics will be showed to user for confirmation.

E) Proctoring

  1. Making logs of window events whenever user changes tab or opens a new tab.
  2. Making logs of audio frequency at every 5 seconds of the students.
  3. Detection of Mobile phone.
  4. Detection of More than 1 person in the exam.
  5. Gaze Estimation: Estimating the position of student body & eyes movements.
  6. Taking Students images logs at every 5 seconds.
  7. CUT, COPY, PASTE, Taking Screenshots Function is disabled.
  8. VM detection & Detection of Screen-Sharing applications. [Support Desktop App Only]

📈 Star Growth Over Time

GitHub Stars

Star History Chart

Screenshots of SYSTEM:

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