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IJSTR >> Volume 9 - Issue 4, April 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Robotic Automation Of Employee Onboarding Using Neural Computing

[Full Text]



Sahil Sarthak Biswal, Ashwin Ganesh, Dr. P. Madhavan



Inverse Document Frequency, Natural Language Processing, Neural Computing, Onboarding of Employee, Robotic Process Automation, Similarity, Term Frequency, UiPath, Word2vec



With routine, repetitive, labour-intensive tasks in the IT industry, there is a lot of human resources involved in handling these systems for business support and operations. The very fact that remains is if these mundane tasks were machine-driven, employees would be able to concentrate on higher-value activities with improved speed, productivity, at considerably reduced costs to the organisation. Robotic Process Automation (RPA) can do this by applying automation software to perform tasks and operations in applications and process them in the same way as a human would. It delivers direct profitability while improving accuracy across entire business functions and can be leveraged irrespective of industry and application. It is already having an impact at organizations currently deploying virtual workforces and delivered game-changing results for many organizations. The main objective of this proposed work is to bring a change in the employee onboarding process wherein the paperwork can be automated at a regular interval of time with hours of work can be saved. All the documents during the recruitment process can be a part of the onboarding documentation using automation that can be quickly finished with the probability of mistakes that might happen if performed manually can be avoided.



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