ALE-gorithm - Drink Good Beer
Recommender Web-app & Educational Dashboard for all things beer!🍺
Group Members:
+ Barry Haygood - Project manager
+ Sheetal Bongale - Lead Developer
+ Cathy Egboh
+ Maya Saeidi
+ Michelle Brucato
+ Sahar MohammadiProject Requirements - Click the drop down! 🔽
+ Proposal + Must submit a one page proposal before starting + Core App + Must use HTML and CSS + Must use a database (not Sqlite) + Must use Flask + Routes + Must have at least 5 routes + Must have 1 home route that uses a Jinja template + Must at least 1 route that uses Plotly or D3 for visualization in a Jinja template + Must at least 1 route that access and filter and serves data from the database as a json + (May have a route the dynamically filters and displays data to the UI) + (May have a route that serves a model, returning result as json) + (May have a route that serves a model trough the UI) + Testing + Must use Postman with at least one request for each route + Deployment + Must be deployed (exceptions made for ML projects) + Must use Pipenv + Repo + The repo must have properly formatted a README.md + Code must be formatted with Black + Must have at least 5 GitHub Issues + Presentation + Prepare a 10-minute presentation + Individual + Every member must make at least 5 commits that are eventually merged to master + Every member must write code that solves at least one meaningful Issue Role assignment is recommended to accomplish specific tasks and delegate responsibilities! Here are some example roles: ``` - Project manager: Barry Haygood - Lead Developer: Sheetal Bongale - Frontend Developer - Backend Developer - Tester ```What is ALE-gorithm?
Have you ever wandered down the beer aisle feeling overwhelmed by options? Do you have a thirst for deliciously brewed craft beer, but don’t know which to choose? Then you’ve come to the right place! The goal of the ALE-gorithm web application & dashboard is to educate consumers on the craft beer space including styles, flavor profiles.
Features
🟡 Beer Recommender: Are you a beer connoisseur? Or even new to the #beerlife experience? No matter what your level of expertise is, if you love to partake in a nice "cold one", then check out the recommender page. We have scanned over a million beers and will match you to the top beers that best suit your palette.
🟡 Dashboard: Want to learn more about your favorite beers? Our interactive dashboard offers information about beers and breweries to both novice and seasoned beer lovers a like.
🟡 Find breweries near you: Looking for a fun beer night or taste some new craft beers? Search to find all the breweries around you or any city around the world!
Technologies used to build ALE-gorithm:
- App Back-End: Python Flask | SQLAlchemy
- Database: MySQL | Google Cloud Platform (GCP)
- Data Visualization: Javascript | Plotly.js | D3.js | AnyChart.js
- Front-End: HTML | Bootstrap | CSS
- Web-Scraping: Requests, Beautiful Soup
- Testing: PostmanDeployment:
ALE-gorithm is deployed on GCP > Click here!
Data Sources:
Additional Data Resources:
Cheers! 🍻
Copyright
Team Ale-gorithm © 2020 | UT Data Analysis and Visualization Nov 2019 - May 2020