LookAchoo

LookAchoo is a Geolocation Sneeze Context OSS app constructed in MERN stack. Utilizing a series of public API & IP Geolocation it gathers real-time weather, air-quality, and COVID-19 statical data to inform users about local conditions could influence one to sneeze.

Table of Contents

• LookAchoo
  • Table of Contents
  • General Information
  • Technologies Used
    • Development & Runtime
    • CI/CD Pipeline
  • Features
  • Screenshots
  • Project Status
  • A Joke
  • Room for Improvement
  • Acknowledgements

General Information

MOVE ALONG This is a draft. Documentation in progress... LookAchoo is a bad pun. But the name draws on a simple verb and a multi-lingual onomatopoeia; focusing on the interwoven relationships like -->
Observer/Discover/Understand/Mitigate <--> Sneeze/Involuntary Action/Other Discomfort

Technologies Used

Development & Runtime

• Javascript ES6 Node.js v16.17.0
  • React.js v18.2.0
    • Material UI v5.10.6
  • Express.js v4.18.1
    • CORS v2.8.5
    • Mongoose* v6.6.5
  • Axios* v0.27.2
  • dotenv* v16.0.3
  • Moment.js*† v2.29.4
• MongoDB v6.0
• APIs:
  • ipify (IP address identifier)
  • WeatherAPI.com** (IP Geolocation)
  • VACCOVID** (Covid Statistics by country)
  • Tomorrow.io (Weather conditions & air quality)
  • Flagpedia (Flag SVG CDN)
  • Google Fonts (Font family: Nova Round)

CI/CD Pipeline

• Vercel
• MongoDB Atlas
• Google Cloud Platform

* via npm v8.15.0
** via RapidAPI
† legacy software

Features

• IP Geolocation upon acknowledgment of innocence in its use
• Conditional and dynamic rendering of images, text, & component styles
• Random assignment of background video sources and Sniffle-Blurbs openers
• Random retrieval of up to 10 Sniffle-Blurbs™ from the database (Invoked a "time-to-live" ☠️ (TTL) feature to the collection, configurated to purge data entries that have surpassed 24 hours)
• Puns and other inorganic attempts at word-play and wit
• Material Icon "Tooltip" components wrap the carousel of Sniffle-Blurbs, revealing hidden plain-text quantified condition levels, which are otherwise highlighted with color by severity (None: Grey, and from Low: Bright Yellow to High: Deep Red)
• Anonymity, no ads, simple yet vibrant User Interface built with the finest MUI components that a beginner can tinker with first...
• Synthesization of materials and links to resources regarding health science educates the user and rationalizes LookAchoo's focus points

Screenshots

Project Status

Project is: 🪫🔒 no longer being workded on

This project offered many learning opportunities but is no longer being maintained in favor of other projects.

Contributors:

Coren Frankel

A Joke

Room for Improvement

Room for improvement:

• The experience should not be limited to unreliable IP Geolocation, open up to form search for city, state/region, and perhpas Zipcode. One challenge is to maintain/improve the current consistency of the user experience globally due to the inconsistencies in location data entries between services.
• The early vision for LookAchoo included mold and dust "ratings" or statistics quantified by weather and climate conditions analysis or clever math.
• Open LookAchoo up to "sniffle forecasts" by exploiting more additional endpoints with its collection of APIs.
• In it's deployment to vercel the client(frontend) and server(backend) are entangled--as the client is anchored at the root of the project directory and the server anchor is therefore nested in the client deployment. (easy fix 🤞)

To do:

• "Deintegrate" server and client deployments (Only nested in github vercel integration)
• Refactor for accessibility
• Build component(s) that evaluates and qualifies coditions for dust & mold spore displacement

Acknowledgements

• ErikvanErp
• czmud
• Miguel Caraballo
• dav1dmoore