Srs Develop Online Payments Fraud Detection system using Artificial Intelligence

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srs (software requirments specifications)

SRS Develop Online Payments Fraud Detection system using Artificial Intelligence

Online Payment is happened, when customers buy something (clothes, shoes) using credit card etc. Online payment systems decrease workload of customers. In online payment system, fraud detection is major challenge, therefore, it is important to develop system to detect fraud customer in advance. The proposed system will detect fraud Customer in advance using Machine Learning techniques. In this project, students will find appropriate machine learning techniques on Synthetic Financial Datasets for Fraud Detection.



 

Scope of Project DeepFake Develop Online Payments Fraud Detection system using Artificial Intelligence :

Project scope is the part of project planning that involves determining and documenting a list of specific project  goals, deliverables, tasks, costs and deadlines. Defining the project scope involves adopting a clear vision and an agreement on the outcomes of the project. This allows each milestone of the project to stay on target

Functional and Non Functional Requirements of Develop Online Payments Fraud Detection system using Artificial Intelligence:

Functional Requirements of DeepFake Detection by Deep Learning Methods:

A functional requirement shows that what the system must do what services the system present to users. It describes a software system or its component. A function is nothing but inputs to the software system, its behavior, and outputs

 

 

NON-FUNCTIONAL REQUIREMENTS Develop Online Payments Fraud Detection system using Artificial Intelligence:

  • Application is user friendly.
  • Application Perform fast manipulation and calculations.
  • Application is adaptable.
  • Application will be able to work on all types of operating systems.
  • Application will be capable to handle multi user activities simultaneously.
  • There will be back up system to face any problem in system
  • All the options should be learning friendly I.e. member could easily understand what that option will do if he clicked on it.
  • Response Time is very awesome.
Some others are:
  • Accessibility
  • Maintainability
  •  Fault Tolerance.
  • Security
  • Robustnes



 

Use Case Diagram of

Develop Online Payments Fraud Detection system using Artificial Intelligence

a use case diagram can summarize the details of your system’s users   and their interactions with the system. Scenarios in which your system or application interacts with organizations, people, or external systems. Goals that your system or application helps those entities achieve



 

 

Usage Scenarios Develop Online Payments Fraud Detection system using Artificial Intelligence:

A brief user story explaining who is using the system and what they are trying to accomplish. A Scenario is made up of a number of simple, discrete steps that are designated as being performed by either the System or a  User.

 

ADOPTED METHODOLOGY for Develop Online Payments Fraud Detection system using Artificial Intelligence:

The adopted methodology for this project is vu process model. Vu process model is a combination of water-fall model and spiral model. This combination has many advantages. This model has high risk analysis so avoidance of risk would be achieved. This model is easy to understand and use. Now first we will discuss the Water-fall model.



 

Work Plan of Develop Online Payments Fraud Detection system using Artificial Intelligence

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Work plan



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