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CS 35L React App Group Project for identifying species distribution by accumulating user dated into a dynamic collective database of wildlife sightings.

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FloraFauna - species tracking community

FloraFauna is a web-based application used to keep track of local flora and fauna species within a given geographic area. Users are able to upload pictures and descriptions of species they have come across throughout their travels and upload them to the application, allowing other users to keep track of local wildlife populations within their location. FloraFauna mainly features an interactive map with community-uploaded pinpoints of wildlife sightings where other users can comment and like the pictures while working together to identify the flora/fauna associated with the pinpoint. The main motivation behind this project is to have easily accessible, crowdsourced wildlife population data and tracking for researchers and hobbyists alike.

How do I run it?

Software Requisites:

  • node.js LTS 16.x.x (tested on 16.14.2)
  • npm 8.x.x (tested on 8.5.0)

Package Dependencies:

  • see package.json

Clone the Repository.

First run (or after dependencies have changed): npm install

Start app: npm start

Visit localhost:3000 in your browser.

Hosted Demo (Experimental)

A Web application demo is hosted at http://jzhi.bol.ucla.edu and it is EXPERIMENTAL, thus functionality should not be RELIED on for grading. The most reliable method to test this project, is by cloning this repo and running locally.

User Accounts

You will need to create an account for full functionality (email does not have to exist), here we have provided a test moderator account, as moderator accounts are delegated:

Email: cool@mod.com

Password: coolmod

Image Attributions

Profile page icons: https://fontawesome.com/v4/license/

Home page map graphic: https://freesvg.org/silhouette-vector-graphics-of-political-world-map

Website favicon: https://favicon.io/favicon-generator/

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CS 35L React App Group Project for identifying species distribution by accumulating user dated into a dynamic collective database of wildlife sightings.

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