Projects

About this Page

Below is a collection of both academic and personal projects I’ve completed using Python, R, and SQL.

No-Plan Pantry

A web application that recommends recipes from Allrecipes.com based on user-inputted ingredients, helping reduce food waste. It also generates AI-created recipes to inspire users to cook with leftovers.

Image Classification of Cats and Dogs

Developed deep learning models using TensorFlow and Keras to distinguish between cat and dog images, achieving 96.73% test accuracy through convolutional neural networks, data augmentation, and transfer learning.

Fake News Classification

This project develops a machine learning model using TensorFlow and Keras to identify fake news articles based on their titles and texts. The model evaluates the effectiveness of different neural network architectures by processing and vectorizing text data to predict news legitimacy.

Academic Performance Analysis

Linear Regression

Analyzed a Kaggle dataset of 10,000 students to predict academic performance for a UCLA Stats 101A project, identifying key factors influencing success to aid educators.