Stars
Multi-Agent Music Recommendation System for AgentX Hackathon
Generate logos and color palettes using AI from text prompts. Full-stack application with React/Vite frontend and Python/FastAPI backend using Supabase, GCP Cloud Functions/PubSub, and Terraform.
To create a comprehensive data pipeline that collects, processes, and analyzes Reddit content related to AI, providing insights into discussions and sentiment using modern data tools and LLMs.
To create a comprehensive data pipeline that collects, processes, and analyzes Reddit content related to AI, providing insights into discussions and sentiment using modern data tools and LLMs.
Behavioral "black-box" testing for recommender systems
An eBay web scraping application which aids users in auction selection.
An application deployed with heroku involving data pulled from the Blizzard API
Given a dataset from Backblaze. EDA + ML was utilized to predict hard drive failure. Deliverables include a written report and a jupyter notebook.
Pulled data using the Giantbomb API to deploy a video game recommendation engine.
Given a dataset from Kaggle. EDA + ML was utilized to predict customer churn. Deliverables include a written report, dashboard, and application.
Created an application which provides a collection of tweets regarding Cyberpunk 2077 and its sentiment.
Created data visualizations for Capcom. Published in the Capcom Cup 2018, the premier tournament in the Capcom Pro Tour, for the widely successful fighting game, Street Fighter V.
Hacker Detection Application dashboard repo on a pubg dataset deployed on heroku.
Given a dataset from Kaggle. EDA + ML was utilized to cluster player behavior to detect cheaters. Deliverables include dashboards and a hacker detection application.