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
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