Automated payroll system with GPS tracking and image capture
This system is a combination of web as well as android application where the user will be using the android application and admin as well as HR will work with web application. This application is meant for field work users. The user will have this application in his android phone, when the user will login to the system his image will be captured and his GPS location will be send to the admin where admin will view image and GPS location in web application. After Login, GPS location of the employee will be tracked automatically by the system and send to the admin after every 5 minutes .When user logout the system again the image will be captured as well as GPS location will be send to the admin. In order to keep track of the attendance as well as payroll of the field work people, this system plays a major role. The role of the admin is to add new employee by entering his personal details and admin will provide the employee with identity number and password to the user so that he can access the application in his android phone. Admin can view the GPS location of the employee by entering Employee Identity Number as well as Date. Admin can check the salary of the particular employee by entering date and employee ID. Admin can view latitude and longitude of the GPS location sent by the employee. Admin can change the password of the employee. When the HR login to the system he can check the GPS location of the employee by entering employee ID and date. HR can check salary of the particular employee by entering employee identity number and date. This application helps admin and hr to easily check the salary of the employee. Since GPS location of the employee is tracked, so employee will not attempt to add proxy attendance.
Data leakage detection system
Data leakage detection techniques are built for users to track if data has been leaked and the trace the sources of data leakage. Many times we come across cases where leaked data is found at unauthorized places. For example we may find sensitive data stored on an unauthorized laptop or website. At such a time it becomes important to trace the source of data leakage. For this purpose we propose an improved data leakage detection technique to trace back sources of unauthorized leakage by using a strategy of data allocation across various agents. The strategy allows user to transfer data to users by considering receivers as agents who are allocated data along with some id based undetectable alterations. These alterations allow our system to trace back the source of leaked data as soon as it is found on any unauthorized sources. In this system we propose to indentify data leakages by storing data as per agents. Our system is designed for detection of data in (.txt,.jpg &.bmp) formats.
Credit card fraud detection
The credit card fraud detection features uses user behavior and location scanning to check for unusual patterns. These patterns include user characteristics such as user spending patterns as well as usual user geographic locations to verify his identity. If any unusual pattern is detected, the system requires revivification. The system analyses user credit card data for various characteristics. These characteristics include user country, usual spending procedures. Based upon previous data of that user the system recognizes unusual patterns in the payment procedure. So now the system may require the user to login again or even block the user for more than 3 invalid attempts. Core Features: The system stores previous transaction patterns for each user. Based upon the user spending ability and even country, it calculates user’s characteristics. More than 20 -30 %deviation of users transaction(spending history and operating country) is considered as an invalid attempt and system takes action.
AI shopping system
An AI multiagent shopping system where system is fed with various
product details. The system allows user to register and enter his
details about a particular product. The system records all the details
provided by user and checks for various items matching his search. The
system comes up with a list of items best suited for user needs. The
system also suggests other related items that the user may like. The
system suggests these items which are likely to be bought by the user
based on his previous requirements. The system handles multiple users at
a time and provides accurate results.
Modules:
User Registration: User can register on the system and get his online
account on site.
User Login: User can login to system and check various furniture data
online.
Multi Agent Support: The multi agent guides and supports user through
his entire shopping experience and sorts out products as per user
preference.
Product Categories: The electronic products are arranged and can be
viewed in categories.
Add to cart: Users can add products to cart.
