====== AssistRQ Proposal Document ======
This document will be the closing capture statement of the Concept Development Phase.  Requires customer approval.

===== Idea =====
This was a work related project and the directive was to create an application that takes a field report and parses it and passes the information to another application that would interpret the information and generate an analysis of the battle.  The technique to use is called Natural Language Processing and the product will probably be written in java.  The resulting data from this app will answer the questions Who, What, When, Where, and How.

===== High Concept =====
Translate the written word into a machine understandable form.

===== Target Market Segment Strategy =====
This is to identify what the underlying message will be and how it will be conveyed to the target market.

===== Features =====
  * Automatically parse human written text into machine understandable format.

===== Target Market =====
Anyone converting large text documents into a form that a computer can understand.

===== Target Hardware Platform =====
Pentium III.

===== Estimated Schedule and Budget =====
6-8 months at 1 FTE.

===== Competitive Analysis =====
Most companies that do this claim it is fully automated, but they have only automated ruff tagging that is enhanced by a large group of people that correct or refine the results.

===== The Team =====
Someone that is knowledgeable in the field of Natural Language processing.

===== Risk Analysis =====
This problem may not have a solution.

===== Summary =====
Process human written text into a machine usable format.