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Power outage tracker that uses machine learning

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OutageML

Screen.Recording.2023-05-02.at.5.51.36.PM.mov

Won 2nd Place at the 2023 APIC Energy Hackathon 🎉

APIC 2023 Certificate

Frontend

  • React (frontend framework)
    • Create React App (support for TSX, ES6, TypeScript, no need to install bundler, ...etc)
  • Leaflet.js
  • Tailwind CSS

Backend

  • Python3 (backend language)
    • Poetry (Python dependency management system)
    • Black (formatter)
    • Psycopg2 (PostgreSQL adapter for Python)
    • Python-decouple (to get env file content)
  • Django (backend framework)
    • Django REST Framework (Django's toolkit for building Web APIs)
  • PostgreSQL (database)
  • PyTorch

Getting Started

Clone this repository to your local machine:

git clone [email protected]:owencooke/OutageML.git

To run the client

In the project folder,

cd client
npm i && npm run dev

To run the server

Django and PostgreSQL

Need to be on UNIX environment

You first need to have PostgreSQL installed and running, and create a user and a database. Afterwards, create ./server/.env file to store your database information along with some Django settings. It should have values for all the following keys:

./server/.env file
SECRET_KEY = <YOUR_DJANGO_SECRET_KEY>
DEBUG = True  # set to False in production
DB_NAME = <YOUR_DB_NAME>
DB_USER = <YOUR_USER_NAME>
DB_PASSWORD = <YOUR_USER_PASSWORD>
DB_HOST = localhost  # set to your domain name in production
DB_PORT = 5432  # default postgreSQL port

Poetry

In addition to the database, you need to setup the Python environment. We use poetry for dependency management, so poetry needs to be installed first. Once installed, in the project folder,

$ poetry shell  # this should create a virtualenv for you at .venv and start using it
$ poetry install
$ cd server
$ python manage.py migrate  # make sure your selected Python interpreter is the one in .venv
$ python manage.py runserver

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  • JavaScript 40.4%
  • CSS 2.8%
  • HTML 1.2%