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Project Plan: The Use of NLP and DLT to Enable the Digitalization of Telecom Roaming Agreements

Project Plan: The Use of NLP and DLT to Enable the Digitalization of Telecom Roaming Agreements

Abstract

The project looks at how to transform the telecom roaming agreements documents and the process of drafting and negotiation into a digitalized version:

  1. Build a library that will capture the different variations and variables that constructs a telecom roaming agreement.
  2. Build a PoC based on a set of smart contracts that will automate the process of drafting and negotation

Project Deliverables

Project Milestones

  • Project initiation   
    • Finalize the project plan
    • Finalize and agree on deliverables
    • Arrange the project communication plan and set the meetings dates and times
  • Study of Roaming Agreement Templates documents structure and the drafting and negotiation process details  
    • Finish training on Roaming Agreements  
    • Submit a summary of learning outcomes and findings  
    • Collect different agreements templates  
    • Submit a document analyzing the roaming agreements documents structure  
  • Build NLP Model and Drafting Library  
    • Identify the different approaches of NLP modelling to be evaluated
    • Define the schema of the drafting library 
    • Build the NLP model
    • Documenting the design details
  • Chaincode development  
    • Build the drafting process chaincode
    • Build the negotiation process chaincode
    • Build supporting libs for the chaincode (authorization, entity management .. etc)
    • Documenting the design details
  • Build Backend system  
    • Build NodeJS backend systems to interact with the chaincode
    • Documenting design details
  • System testing  
    • Build the testing environment
    • Test different processes
    • Documenting the results
  • Frontend App  
    • Build a simple UI to demonstrate the usage of the system
  • Final Project Documents  
    • Solution Design Document
    • A conference or journal paper draft



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