project-proposal-2025

TasteFinder - Find your specific dish in your city

Abstract

When we don’t know what to eat, we usually using Uber Eats or Doordash to find out what we can eat. But if we do want to eat some certain dash, how we can find the most suitbale one you feverite and how do you know the most popular one in the Uber Eats is the exactly good taste you like?

Imagine a scenario: on some busy day, you finish your work, back home, and want to order some delicious food. You spend half an hour on your delivery apps to find out the most popular dishes. You ordered it, and you got it. You taste it, and you dump it, because most people like sour ones, but you like sweet.

Author

Name: Zihao Wang

Student number: 48483708

Functionality

Users can search for any dish they want on the TasteFinder website. The system will show you a map that contains restaurants, including this dish, and the most important things—feelings/comments from other eaters for this dish.

• Searching dishes. User can search a spesic dish , and then will return a map near by the user, It’s show the most voted resturant by users where service this dish.The main idea is the comment in the dish we show to the user must contain one or more specific taste so that user can get know about whether this dish is exactly most idea food they want.

• Add reviews Add your feelings on dishes in your experience. Every comments must contain at least one categories which indicate the feelings/taste e.g.,Sour,Salt,Light,Oily ,so that other people can get more detail about it. We encourage user add custom tag on each dish.

• Vote Each comment can be thumbed up or down by users. There is no ranking of each dish itself, only the truth or falsity of reviews. If most people think this dish is sour but not sweet at all, they can downvote the ‘sweet’ one.

• User system Login function via third-party login, e.g., OAuth. By this way, the user can save plenty of time registering or waiting for the verification of their phone or email.

Scope

MVP including 3 main functions

• Users can search for specific dishes
• Display nearby restaurants (using Google Maps)
• View other users’ comments on the selected dish

Uses PostgreSQL + Redis to improve query efficiency and support high concurrency. Uses RESTful API for easy access and feature expansion. Uses PostGIS to store geographic data and optimize geolocation queries. Integrate Google Maps API to access restaurant and dish information.

As the basic function, any user can use those functions to find out whether the dishes are suitable according to comments.

Quality Attributes

• Availability
  • This system should access in any time whenever user need to search
• Scalability
  • It must support multiple user to search and add reviews
• Interoperability
  • This system needs to integrate external services such as Google Maps, so interoperability is important.

Evaluation

In this part, we will using some test tool e.g.,Uptime Robot,Apache JMeter/Locust to stimulate user’s action.

• Availability
  • The user should be able to access the system at any time from any location.
    • Method: Use monitoring tools (such as Uptime Robot) to stimulate users’ requests and continuously check system uptime.
    • Evaluation: After deployment, if the system is at least 36 hours without system crashes or error pages, we believe Availability is satisfied.
• Scalability
  • As the number of users increases, the system should be able to deal with multiple requests in a short time.
    • Method: Use load testing tools (such as Apache JMeter/Locust) to stimulate concurrent user scenarios.
    • Evaluation: response time under 1 second with 20 concurrent users, error or some wrong rate < 5%
• Interoperability
  • The system must be able to access the third-party API (e.g., OAuth, Google Maps) correctly.
    • Method: Logging in via Google account or GitHub account to check the login and map function.
    • Evaluation: Successfully loading maps as Google Maps and showing the restaurant and dish correctly.