Hi am Mohamed i would like to get details on synopsis of project placement automation system ..My friend Justin said synopsis of project placement automation system will be available here and now i am living at ......... and i last studied in the college/school ......... and now am doing ....i need help on ......etc
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The entire system will be online and company recruiters will be able to access through a secure login ID. This will ensure that companies that visit for hiring can review the credentials of students even before they arrive on campus and can also share these credentials with senior management remotely. The system will be updated through the job offers of the companies. Companies will be able to share information about work, payment and selection procedure. A timetable for the recruitment campaign will also be published. Students who meet the criteria may apply and will be notified at each stage of the recruitment.
Additional information about the company can be collected by students. Students will have the opportunity to review company websites, employer review sites (such as glassdoor.com), etc. and you can create a profile for the company. Students who create such a profile will be referred to as taxpayers and the company will also be notified about which students took a keen interest in knowing about the company. This will allow all students in the recruitment campaign to be well read about the company before attending the interview.
The existing location automation system is for the placement cell to send massive emails or by the presence of posters in a central location. This location automation system requires a student to constantly check their e-mail for posters to stay informed about the placement process. All the companies that appear for the recruitment will require credentials of the students and the lack of a computer system for the same means that the students will have to make many copies for each company for which they interview. In existing systems, surveys will be taken separately to measure interest and other trends in locations. Statistics will be computed after the locations by compiling all the different documents used for the location.