amynbmd / Mongo-Intel

Mongo-Intel Application (Predictive Mapping System)

Mongo-Intel Application

Team members: Darshan Dhillon-Kusek, Ngan Dinh, Jason Ji, Ronald Miranda-Guzman, Duyen Nguyen, Nicholas Terrazas, Han Thai

High-level project description:

• Create a mapping system that allows users to track the histories of identified entities in specified areas. Extrapolate from that data to make predictions regarding the future locations of these entities at a given point in the future.
• MongoDB-based application that can store various data types streamed to it.
• This application is used to aid teams in collaborating and coordinating their operations, especially in an emergency management/disaster relief environment.
• It is important to be able to understand where teams have been, what types of communications and coordination have taken place, and what future events may take place for a variety of reasons.
• Using this data as a foundation, the user shall be able to conduct queries using a Natural Language Processing (NLP) interface (either voice or text).
• Provide Artificial Intelligence/Machine Learning (AI/ML) analysis of that data to provide the user with query answers and possible conclusions from data analysis using a browser front end.

Answer questions like:

▪ Who has been in this region for the past 2 weeks?
▪ Who could be in this region tomorrow?

Major Functional Components:

• MongoDB.
• Search Engine.
• Web Server.
• NLP Processor.
• AI/ML Processor.