Srs Music Endorsement System via Talkbot

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srs
srs (software requirments specifications)

SRS Music Endorsement System via Talkbot

In the proposed project, student will consolidate various administrations and open-source instruments to make a Talkbot(just like chatbot with which you can converse or chat). The proposed system suggests music in view of the tone of the discussion, which the client is having with the Talkbot. A Talkbot system uses conversational artificial intelligence (AI) technology to pretend a discussion (or a chat) with a user in natural language via messaging applications, mobile apps or the telephone. It uses rule-based language applications to perform live chat functions in reply to real-time user communications. In this venture, student will construct a Talkbot assistance, to which student can converse with. What’s more, conversing with a Talkbot would not be business driven. It would simply be everyday discussions. Further, on top of it, the Talkbot would likewise be prescribing music to the client in light of the tone of the client.



 

Scope of Project Music Endorsement System via Talkbot:

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 Music Endorsement System via Talkbot:

Functional Requirements of Implementation of Music Endorsement System via Talkbot:

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 Implementation of Music Endorsement System via Talkbot:

  • 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 Implementation ofMusic Endorsement System via Talkbot

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 Implementation of Music Endorsement System via Talkbot:

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 Music Endorsement System via Talkbot:

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 Music Endorsement System via Talkbot:

Work plan



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