WDI-P2-funny-predictions
Project-2 WDI: Horoscopes
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Overview
A full-stack authentication application that lists out zodiac signs for users and on selecting their sign, they are given a prediction for the day.
Project Brief
Your app must:
- Have at least 2 models one representing a user and one that represents the main resource of your app, e.g. Restaurants
- Include relationships - embedded or referenced. Make sure you take the time to consider the best approach before building out your models.
- The app should include authentication - with encrypted passwords & an authorization flow.
- Have complete RESTful routes for at least one of your resources with all CRUD actions.
- You must use SCSS - as this is a key industry skill.
- Include wireframes - that you designed before building the app.
- Have semantically clean HTML - you make sure you write HTML that makes structural sense rather than thinking about how it might look, which is the job of CSS.
- Be deployed online and accessible to the public.
Technologies:
For this project I have used the following technologies:
- HTML
- SCSS
- jQuery
- RESTful
- Mongo
- Mongoose
- AJAX
My Project screenshots
Home Page:
Zodiac Sign Page: When user clicks on ‘Stars’ in the navbar, all zodiac signs show up.
Login Page: Once the zodiac sign is selected, the user is directed to the login page.
Register Page: If the user is not already registered, they can do so by clicking ‘Sign up’ in the navabar. The user has to fill out all the fields required for signing up.
Prediction: The user can then see the prediction of the day.
The user is provided different prediction everday for their zodiac sign.
Challenges and Problems
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It was challenging to generate random computer choice of the prediction.
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It was difficult to display the same prediction throughout the day, everytime user logged in again.
Wins
- The user is notified with predictions everyday.
Future Features
Features I would have liked to include:
- I would like to add styling and animations.
- I would like to add a form feature where user is given prediction according to choices they select.