Forecasting, computer vision, and full-stack products shipped to real users.
12 projects in this domain
Forecasting repository activity with LSTM & Prophet
A time-series forecasting system that predicts repository activity and trends using TensorFlow/Keras LSTM networks alongside Facebook Prophet and StatsModels, benchmarking classical and deep-learning forecasters.
Deep-learning OCR for handwriting
A deep-learning model that recognizes handwritten text from images, applying computer vision and sequence modeling to the classic OCR challenge.
Graph analytics on social and well-being data
An online social-network analysis project that studies world-happiness data through graph analytics and community detection, extracting insight from network structure.
Live app for discovering San Francisco events
A deployed web app that surfaces and recommends San Francisco events, pairing a clean product experience with AI-assisted discovery.
Live job-discovery web app
A deployed job-discovery application that helps users search and filter opportunities through a fast, modern interface.
Restaurant discovery app
A restaurant-discovery app that helps users find places to eat with smart filtering and a clean, responsive interface.
AI movie recommendation app
A movie-discovery app that recommends films based on user preferences, combining a content catalog with AI-driven suggestions.
Natural-language property search platform
A generative-AI real estate platform supporting natural-language property search and matching, letting buyers describe the home they want instead of wrestling with filter checkboxes.
Interactive property search and analysis
A Streamlit application for interactive real-estate search and analysis, pairing property data with fast, explorable dashboards for demos and decision support.
Web-based property browsing
A lightweight web application for browsing and discovering property listings, an early full-stack take on the real-estate discovery experience.
AI-supported learning platform prototype
An education-technology platform prototype supporting learning workflows, student support, and course experiences, exploring how AI can personalize the classroom.
Regression modeling of bike-share ridership
A machine-learning analysis of bike-sharing demand, modeling how weather, season, and time of day drive ridership so operators can plan capacity ahead of the curve.