 |
 |
|||||
 |
||||||
 |
||||||
|
prev
next
Download Free projecttopics From viewzoft
Consider a medium sized IT establishment which manages its own payroll requirements. This project will aim to develop an automated system to pay employees their monthly wages. The system should store employee salary details and leave allowance. At the end of the month the system should automatically credit the employee’s bank account with their salary. Income tax and loan payments should be deducted at source and appropriate accounts credited. Salary slips should also be generated. This system can be integrated with Leave and loan systems to give a holistic solution to the organization.
( MORE )
Download Free projecttopics From viewzoft
Consider a medium sized IT establishment which manages its own payroll requirements. This project will aim to develop an automated system to pay employees their monthly wages. The system should store employee salary details and leave allowance.www.viewzoft.com At the end of the month the system should automatically credit the employees bank account with their salary. Income tax and loan payments should be deducted at source and appropriate accounts credited. Salary slips should also be generated. This system can be integrated with Leave and loan systems to give a holistic solution to the organization.
( MORE )
Download Free projecttopics From viewzoft
Auto-summarization is a technique used to generate summaries of electronic documents.www.viewzoft.com This has some applications like summarizing the search-engine results, providing briefs of big documents that do not have an abstract etc. There are two categories of summarizers, linguistic and statistical. Linguistic summarizers use knowledge about the languange (syntax/semantics/usage etc) to summarize a document. Statistical ones operate by finding the important sentences using statistical methods (like frequency of a particular word etc).www.viewzoft.com Statistical summarizers normally do not use any linguistic information.
In this project, an auto-summarization tool is developed using statistical techniques. The techniques involve finding the frequency of words, scoring the sentences, ranking the sentences etc. The summary is obtained by selecting a particular number of sentences (specified by the user) from the top of the list. It operates on a single document (but can be made to work on multiple documents by choosing proper algorithms for integration) and provides a summary of the document. The size of the summary can be specified by the user when invoking the tool. Pre-processing interfaces are there to handle the following document types: Plain Text, HTML, Word Document.
( MORE )
prev next |
|
