Design a new model pipeline for image compression, utilizing Vision-Language, Masked Autoencoders and Diffusion models
Integrated edge-cutting algorithms to detect, classify, and count vehicles, estimate their speeds, and recognize license plates in 2D frames
Analyzes Starbucks rewards app data to uncover customer insights, thereby enhancing our understanding of the factors that influence customer engagement with offers.
Understand more about the relationship between Vaccine, Patients and Symptoms through VAERS data sets from 1990 to 2022
Classified 25k+ real disaster messages to train a model that categorizes real-time messages and sends them to the right relief agency.
Uncovering the 2022 NYC Airbnb Market: Insights into Popularity, Pricing, and Tourist Behavior
Built a full-stack web app that enables users to create and share family trees
Agent periodically collects formatted data via API and stores in DynamoDB, then server provides access to that data via API endpoints.
Built a program that detects faces, then analyzes them to determine the kind of emotion being expressed (Angry, Fear, Happy, Sad, Surprise, and Neutral).
A set of Clojure functions that perform symbolic simplification and evaluation of boolean expressions using and, or, and not.