are for a specific video game and display that price to the user as well as recommending games similar to it all in one page. Our recommendation system uses machine learning to best calculate games you would enjoy based on the games you have viewed How?
amount of setup. Database: CloudSQL - enable required APIs in GCP, grant app engine service account the CloudSQL Client IAM role, Create instance with MYSQL, add user and password install requirements, etc.
Add .env file with SQL URI to cloud db. Populate database with create_db.py, models.py. Deploy backend with SQL_URI in app.yaml Deploy frontend - npm run build, gcloud app deploy
consistent meetings and collaborated very well. • Divided up work appropriately (each person worked on what they were comfortable with) • We were able to quality test our website with other non members so there wasn’t any biased
to to GCP with the CLI in vscode. (setting permissions, creating user on CloudSQL, etc.) • How to implement layers of routing within pages allowing a complex page
hygiene. Some stuff was out of place • We could make discounted pricing more applicable. • Cleaner documentation What puzzles us ? • We were puzzled at how difficult it was to filter and sort in a way that would benefit the user as we thought it would be easier to implement it • Standard vs flex environment. And CloudSQL pricing! (Charged for uptime instead of runtime)
website • Intuitive overall design and layout • Footer design is clean and visually appealing • Modal content is well-organized and easy to follow • Visually attractive presentation of information • Useful map feature that clearly shows fishing spot locations • About page cards are creative and engaging
Learned which types of lures are best suited for catching specific fish • Gained knowledge about the types of fish found in Austin and other parts of Texas
label to the sorting dropdown for clarity • Move the sorting dropdown closer to the other filters for better usability • Improve page navigation buttons — they feel too condensed • Add labels to the double-arrow navigation buttons (may be unclear to some users) • Include a label for the wiki link on the fish page to clarify its purpose • Add links or information on where to buy the lures (e.g., Amazon)
sugarenia
lynnandtonic
michaelherold
aleyda
greggifford
ipullrank
bluesmoon
jnunemaker
mongodb
mayunak
uxyall
mclloyd
