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Dwello is a web app that recommends neighborhoods based on many different user preferences, including salary ranges for different industries, crime rate, population density, median income, cost of living, etc.

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Dwello

Introduction

Dwello is a web app that recommends neighborhoods based on many different user preferences, including salary ranges for different industries, crime rate, population density, median income, cost of living, etc. We haven't written code yet, but we'll have a backend folder for our django backend and a frontend folder for our React frontend.

screenshot

screenshot

screenshot

Features

Interactive map for exploring locations

Search filters for customizing results

Relevance based lookup

Common queries

List view and Detailed views for neighborhoods, cities, zip codes, and states

Tech Stack

Django, Postgres, Redis, JWT, React, Tailwind CSS, Vite, Google Maps API

Installation

Clone the Repo.

Enter a Google Maps API key in frontend/.env.

For the frontend, run:

cd frontend

nvm install node

npm install

For the backend, run:

cd backend

pipenv shell

pipenv install

Usage

Open two terminals.

In the first, go to the frontend directory and run npm run dev

In the second, go to the backend directory and run python manage.py runserver

About

Dwello is a web app that recommends neighborhoods based on many different user preferences, including salary ranges for different industries, crime rate, population density, median income, cost of living, etc.

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