This system can monitor and detect any unusual movement of a candidate giving an exam. This is an automated system that registers a newly signing candidate via his/her biometrics and takes the attendance and timing of entry of an already registered examinee also via his/her biometrics.
This model is an end-to-end implementation of a ML model used to predict the person giving the exam from his/her biometrics and monitors whether some unusual activities takes place while giving the exam which leads to termination of the exam then and there.
The model has an accuracy of 97% on the test dataset used in the project.
The python version used in this project is 3.8.x.
- Python Libraries used in project:
- tkinter
- OpenCV
- numpy
- PIL
- pandas
- datetime
After installing all the dependencies, clone the repository into your local drive and then execute the final.py file and the user-friendly interface will open.
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First page of the interface
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Register Page
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Start Exam Page
Contributor names and contact info:
Amanjeet Pani
GitHub : @AmanjeetPani
Email : [email protected]
Anshuman Sandhibigraha
Github : @anshusandhi6
Email : [email protected]
- 0.1
- Initial Release