HRM with Optimized Functional Implementation of National Data Center Reducing Time and Spelling Error Complexity

Abstract

Data Management in a fast and efficient way is one of the demanding technologies of today’s aspect. The “HRM with optimized functional implementation of National Database reducing time and spelling error complexity” is a system which makes the working procedures of present manual system of storing and retrieving citizen’s information easier and increases its efficiency to a high degree. The implemented search methodology is efficient enough for high speed data retrieval. Though there may be spelling error in the input keywords used for searching a citizen, it is able to find out the required data about the citizen. The search methodology accomplishes its goal due to its special design in the data structure. The main concern in this project is minimizing the total searching time for a given keyword. This can be done if we can pre-establish the idea of getting the data belonging to the keyword. The primary and secondary key-code generated by Double Metaphone Algorithm for each word is used to establish that idea about the word. This algorithm is used for creating the map of the original database, through which the keyword is matched against the data. The whole web-based National Data Center (NDC) is accessed from different terminals of a network. This system can be used to keep records, modification of record, search for citizens, admins and find out a particular record etc. In this report we describe the implementation procedure of NDC. We used the EntityRelationship model to design database that will store and organize the national data. We have stored the data in MySQL Database Server and populated it with some sample data. The system can keep track of admin info, admin accounts, records of citizen etc. Using HTML PHP, JavaScript, CSS we have created an Internet-based graphical user interface that allows users to access the system from any location.