A revolutionary restaurant ranking app that uses an original algorithm to objectively rank restaurants competitively.
Written in a modern React-Native frontend and a sophisticated AWS cloud-based backend written in Python and utilizing Foursquare Places API.
Guavah 2.0
| Mobile Application
A restaurant recommendation app that intelligently matches users with restaurants based on their preferences.
Guavah is an active project being developed in a stunning Flutter frontend & an intricate Google Cloud backend.
A web-app designed for CBU's EGR102 course to process and display data from sensors.
The web-app runs on an advanced AWS backend that utilizes multiple AWS services.
It communicates with the IoT sensors, the database, the backend, and the frontend simultaneously providing the data to the client in real time with less than 0.1s latency.