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This book discusses making a system for solving problem FMS for them at a cheaper cost. This system will mark the attendance of each Food and calculate their salary at the end of the month. It also calculates overtime and total working hours of each Food. On a small scale, each company has its own holiday preferences and variables week off for Foods, so all this power is given to the employer to manage holidays and weekdays of each Food separately. It saves lots of time and has no error in pay calculation hence preventing clashes between the CLIENT Team and Foods. So that both the employer and Food can focus on their work to develop their company.…mehr

Produktbeschreibung
This book discusses making a system for solving problem FMS for them at a cheaper cost. This system will mark the attendance of each Food and calculate their salary at the end of the month. It also calculates overtime and total working hours of each Food. On a small scale, each company has its own holiday preferences and variables week off for Foods, so all this power is given to the employer to manage holidays and weekdays of each Food separately. It saves lots of time and has no error in pay calculation hence preventing clashes between the CLIENT Team and Foods. So that both the employer and Food can focus on their work to develop their company.
Autorenporträt
Pratik Halder, Pronita Mukherjee et Sukanta Kundu travaillent en tant que professeurs assistants au Gargi Memorial Institute of Technology. Leurs sujets d'intérêt sont l'IdO, l'apprentissage automatique, l'apprentissage profond, etc.