|Title||Implementation of Automatic Pointing Correction System on OrangeHrm|
Implementation of Automatic Pointing Correction System on OrangeHrm
The goal is to collect employee pointing data, to detect anomalies and pointing errors and to propose a correction automatically. The system sends an automatic e-mail to the concerned person, indicating the error and the proposed correction. The user can confirm (or not) the correction, which will be then validated by the HR team. The system can be improved over time by using supervised machine learning.
Technologies: Machine Learning / Python / Scala / Angular 6