README.md

Sunset-Predictor

An app that uses weather data and user input to forecast the beauty of sunsets hierarchy of work

UI/frontend

-start as web app for simplicity

-user login

-sunset prediction, timing

-sunset rating at time

AI backend + FE visualization

-RNN/CNN/FNN development

-data formatting

-data selection/manipulation

-training+testing updating with user input

Data acquisition/additions/DB mgmt

-no location bias - get a diversity of locations (keep it within USA for simplicity)

-user input management

-use factors to find DBs/APIs

-API current data fetching

Research, writeup

-What data is necessary, why is it necessary

-Whats the incentive

-What sets us apart from competitors

-suggestions for alpha improvements

Virtual Environment Setup

1.

Create the directory and files

Mac/Linux python3 -m venv <venv-name> <filepath>

Windows python -m venv <venv-name> <filepath>

IMPORTANT: DO NOT create the venv inside the repo directory, store it locally on your computer somewhere

Activate the venv

Mac/Linux

source <venv-filepath>/bin/activate

Windows

<venv-filepath>/Scripts/activate.ps1

to deactivate

just use the deactivate command

Go to backend and frontend directories and follow the download instructions

IMPORTANT: download all package files into the venv while it is activated