AustinBites_Presentation.pdf

Transcript

1. Bryan Doan, Johnny Tran, Estefani Vasquez, Kejia Zhang, Brianna Zhao AustinBites
2. JOHNNY TRAN Senior BSA Nutrition ESTEFANI VASQUEZ Junior BS Mathematics BRYAN DOAN Junior BS Physics Our Team
3. Our Team BRIANNA ZHAO Senior BS Public Health KEJIA ZHANG Senior BS Mathematics
4. 01. Implementation
5. A collection of restaurants around Austin A list of different cuisines and foods offered nearby Restaurants Models Overview Drinks Cafes, bars, and other drink shops to visit in Austin Cuisine
6. Restaurants Model Data • Restaurants consist of restaurants in a 50 mile radius from the tower queried from 2 different APIs • Attributes: ◦ Business id: The id used for the business under Google Business ◦ Name: Name of the restaurant ◦ Phone: phone number of the restaurant ◦ Address: longitude, latitude, and address of the restaurant ◦ Ratings: rating of the restaurant out of 5 ◦ Reviews: link to yelp reviews for each restaurant ◦ Price level: number of dollar signs to represent how expensive the menu is ◦ Photos: link to a photo of the restaurant or their food ◦ Description: description for the restaurant ◦ Delivery: True or False based on if they deliver
7. Cuisine Model Data • Cuisine types from the restaurant and drink data gathered from API calls • Attributes: ◦ Id: unique identifying number ◦ Name: name of the cuisine type ◦ Type: cuisine types are classified as “Region,” “Dish,” “Food Restriction,” or “meal time” based on what they are • Additionally, each cuisine type has a list of restaurants and drink places associated with them Cuisine
8. Drinks Model Data • The drink models page consist of drink places in a 50 mile radius from the tower queried from 2 different APIs • Attributes: ◦ Business id: The id used for the business under Google Business ◦ Name: Name of the drink place ◦ Phone: phone number of the drink place ◦ Address: longitude, latitude, and address of the drink place ◦ Ratings: rating of the drink place out of 5 ◦ Reviews: link to yelp reviews for each drink place ◦ Price level: number of dollar signs to represent how expensive the menu is ◦ Photos: link to a photo of the drink place their food ◦ Description: description for the drink place ◦ Delivery: True or False based on if they deliver
9. How it all Works Together Restaurant Cuisine Drinks • Every restaurant has a list of cuisines that they sell that link back to a cuisine page • Drink places are suggested based on how close they are to a restaurant • Drink places and restaurants link to cuisine types based on what each establishment sells • Every drink place has a cuisine type that links to that type’s instance page • Restaurants are suggested based on how close they are to a drink place
10. AustinBites Demo
11. 02. Issues, Stats, Tests
12. Issue Tracker Stats Bryan Doan Issues: 23 Commits: 62 Johnny Tran Estefani Vasquez Brianna Zhao Keija Zhang Issues: 0 Commits: 11 Issues: 21 Commits: 40 Issues: 22 Commits: 20 Issues: 9 Commits: 13
13. Issue Tracker Stats cont. • Issues we have encountered during our project: ◦ Combining json files ◦ Cuisine data ◦ Duplicate Restaurants ◦ Photos / null entries ◦ Creating the Database ◦ Deadlock ◦ GCP Deployment
14. Unit Tests AustinBites Unit Tests • We created unit tests to make sure: ◦ Each table populated (how many were there) ◦ You could edit instances from the tables ◦ You could insert instances from a table
15. 03. Critiques
16. Self-Critique What did we do well? - Unique design What did we learn? - Working with GCP - Using APIs What can we do better? - Improve navigation through pages - Improve search implementation - Improve sorting capabilities What puzzles us? - Deploying the website and database
17. Group #2 Review What did they do well? - The design of their website is very well done, everything has a purpose and looks very sleek What did we learn from their website? - The way they implemented sorting and searching What can they do better? - Adding global search in the home or nav bar What puzzles us about their website? - Some pages took a really long time to load
18. CREDITS: This presentation template was created by Slidesgo, including icons by Flaticon, and infographics & images by Freepik Thank You! Do you have any questions?