
## Introduction

This project entails the development of an AI model that is able to process large amounts of financial data in order to determine the price fluctuations of different sets of cryptocurrencies over a short period of time.

## Features

- 5 models, dataset spanning from August 1st, 2019 - August 1st, 2023
- Multi-feature and Single-feature LSTM (long short term memory) models.


LSTM and RNN machine learning models used to make short-term predictions on cryptocurrency closing prices.

Cryptocurrency Price Prediction ML Model


## Introduction

The Senior Design Project offers student-led teams of four a chance to collaborate with a client, 
aiming to provide students with practical experience in executing real-world projects defined by 
client-specific requirements. As the team leader and full-stack developer, I played a pivotal role 
in the design phase, making crucial decisions about the feature selection and technology stack.
 Our project, an eatery-management system, is tailored for UC Davis 
dining establishments, designed to streamline operations by managing staff and updating eatery information 
such as location, menu, pricing, hours, and more.

## Challenges

- Utilizing gRPC for web services and overcoming compatbility issues. 
- Upgrading the pre-existing codebase to add a framework layer, as well as making sure all dependecies are up to date.

## Solutions

- Using a proxy server to translate incoming HTTP/1.x requests to ensure they align with the gRPC transfer protoccol (HTTP/2).

An eatery management system enabling restaurant owners/managers affiliated with campus-run eateries to run operations by adding eateries, adjusting metadata (hours, location, etc..), and managing employees.

Projects

Cryptocurrency Price Prediction ML Model

Eatery Management System (AggieDish)