QuestEats
A gamified, quest-driven restaurant discovery platform using real-time Yelp AI data. Discover new spots based on mood, craving, cuisine, or location.
QuestEats Visit Github Page- Express.js
- JavaScript
- MongoDB
- React.js
- Yelp AI API Hackathon
Hello!👋 I am currently a third-year student at Seattle Pacific University studying Computer Science and Data Analytics. I am always eager to learn new things, and I am looking to pursue a career in software engineering or data science. My hobbies include guitar, piano, golf, basketball, and spikeball.
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Bachelor of Science (B.S.) in Computer Science
Seattle Pacific University, Seattle, WA
Minor in Data Analytics
(Expected Graduation 2027)
A gamified, quest-driven restaurant discovery platform using real-time Yelp AI data. Discover new spots based on mood, craving, cuisine, or location.
QuestEats Visit Github Page
Leveraged R and R Studio to create two interactive visualizations based on existing visualizations from Our World in Data. Practiced data wrangling by combining existing data sets to increase interactivity and customizability for the interactive map. Visualizations display greenhouse gas emissions data based on country, GDP per capita, and emissions sectors.
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A collective inventory tracker for you and your roommates. Easily track and coordinate supplies for homes, events, and more using Roomventory.
Roomventory Visit Github Page
Generates AI-powered recommendations for professors based on user input. The app allows users to upload RateMyProfessors links to the Firestore database and filter the AI results based on school, subject, and minimum rating.
The Professor Finder Visit Github Page
An AI-powered NextJS app that converts simple text into flashcards. The app allows users to easily store and edit flashcard sets.
Lightcard: AI-powered flashcards at your fingertips Visit Github Page
An AI-powered career counselor chatbot designed to assist users with career exploration and development, interview preparation, and resume building.
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A Python script that uses BeautifulSoup to scrape game log statistics from the Pro Football Reference website. The program then uses Pandas and Matplotlib to organize the data and create a bar chart animation that displays each team's total score by week.
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