This is the Project page for Pyreye. A wildfire risk management Application.

Pyreye is a web application that aims to help people living in areas under high-risk of wildfires to stay safe. Current warning systems are not adequate so Pyreye uses multiple datasets from publicly available data and satellite imagery to estimate and predict areas with high risk of wild fire occurrences. Users can get accurate weather and fire risk information right at their fingertips.

Team members include: Maxim Van Duyne, Nithiin Kathiresan, Krish Agrawal and Anand Kuro Andengattil.

Part of the main Backend Repo is available here: https://github.com/krishagrawal112/HackMIT-Pyreye/

Current Weather API: https://api.weather.com/v3/wx/observations/current?geocode=40.58,-111.66&units=e&language=en-US&format=json&apiKey=

IBM Watson AI Endpoint: https://eu-de.ml.cloud.ibm.com/ml/v4/deployments/2f62c24e-ab50-4c11-bb79-da30b5ae58c5/predictions?version=2021-09-19

API Key: 1bbf9714b9ac4babbf9714b9acebabca
BDU, BTU, BEU
Above uses Lat/Long coordinates