Helping people find places and hairstylist around their area. Also be able to browse individual hairstylist.
This app solves the problem by allowing users to find a hairstylist easily in there area and have the option to employ them all in one place with a click of a button.
We provide the best and fastest way to find a great hairstylist.
Getting the trendiest haircut with confidence.
“You need a haircut? We got your haircut.” - HairCare
A user can login and see a list of hairstylists in their area and be able to browse there work. The user is able to like and dislike the work of a particular hairstylists. Also a stylist can create their own account and post their skills.
Allow for geolocation so that I can apply see who’s around me
Presidencies, networking core data
Bantu, Carols Daughter, Hair Journal
Frameworks - Libraries
React, less, semantic-UI, material-design, Mock coding, axios,
no
Coco touch
Describe the Established data source with at least rough data able to be provided on day 1.
You can gather information about the data set you’ll be working with from the project description. Be sure to collaborate with your PM, and your Backend Architect to chat about the resources you have.
Write a description for what the DS problem is (what uncertainty/prediction are we trying to do here? Sentiment analysis? Why is this a useful solution to a problem?)
A target (e.g. JSON format or such) for output that DS students can deliver to web/other students for them to ingest and use in the app
People who need hairstyles have a way to be connected to hair stylists and view portfolios.
My spouse is constantly complaining that they have no proper way to get a good look at hair stylist’s work today.
no
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Research thoroughly before writing a single line of code. Solidify the features of your app conceptually before implementation. Spend the weekend researching so you can hit the ground running on Monday. Prototype Key Feature(s)
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This is the “bread and butter” of the app, this is what makes your app yours. Calculate how long it takes to implement these features and triple the time estimated. That way you’ll have plenty of time to finish. It is preferred to drop features and spend more time working on your MVP features if needed.