AI Search and Rescue

The primary goal of this project is to explore the use of Artificial Intelligence and related computational methods in support of Search and Rescue missions.

Background

A lot of foundational work was required to allow for Machine Learning and Artificial Intelligence methods in the future. Much of the summer was spent on creating a fully digital version of the SAR (Search and Rescue) forms filled out by rescuers. With the current approach of using physical forms, there is a lack of functionality and proper organization and consolidation of data.

Our Approach

Initial migration of the SAR Forms to electronic versions was done through web-based form creators like Google Forms and JotForm. However, it is hard to transform some complicated forms using this apporach. We found a solution by creating a website for the front end along with a database to record responses and process the data. This was achieved by using Bootstrap, Nodejs and Firebase.

Please Visit our work here

Meet Our Team

Gary Bloom

Sponser

Franz Kurfess

Faculty Mentor

Maria Pantoja

Faculty Mentor

Lynne Silvovsky

Faculty Mentor

Kai-Chin Huang

Student Researcher

Ritvik Seshadri

Student Researcher

Meha Sharma

Student Researcher

Siddarth Viswanathan

Student Researcher