Applied ML & Consumer Apps Projects

Forecasting, computer vision, and full-stack products shipped to real users.

7 projects in this domain

Applied ML & Consumer Apps

Advanced Time Series Analysis

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.

Time SeriesForecastingLSTMProphet
Python
Applied ML & Consumer Apps

Handwritten Text Recognition

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.

Computer VisionOCRDeep LearningCNN
Jupyter Notebook
Applied ML & Consumer Apps

Social Network & Happiness Analysis

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.

Network AnalysisGraph AnalyticsData ScienceNetworkX
Jupyter Notebook
Applied ML & Consumer Apps★ Featured

SF Event Finder

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.

Full-StackRecommendationsConsumer AppLive
Applied ML & Consumer Apps

Job Finder

Live job-discovery web app

A deployed job-discovery application that helps users search and filter opportunities through a fast, modern interface.

Full-StackJob SearchConsumer AppLive
TypeScript
Applied ML & Consumer Apps

Restaurant Finder

Restaurant discovery app

A restaurant-discovery app that helps users find places to eat with smart filtering and a clean, responsive interface.

Full-StackDiscoveryConsumer App
TypeScript
Applied ML & Consumer Apps

Movie Finder

AI movie recommendation app

A movie-discovery app that recommends films based on user preferences, combining a content catalog with AI-driven suggestions.

RecommendationsConsumer AppML
Python