We have assembled a data-collecting machine to further the research for meteorites underwater. We have also created a basic framework to interpret the data that we collect through charts and graphs.
ArcVision is a geospatial analytics dashboard powered by deep learning technology. It aims to detect parking violation and provide spatial decision support on parking management
Enabling the personalization of Venclexta treatment towards increased quality of life.
Recommender engine for recommending moves based on user preferences
Recommend Product/Movies based on User/Items preferences
Protect our forests, one tree at a time.
Optical Character Recognition for Digitizing Health Records
Detection of the actual position of anomaly in a CCMS monitored street light setting with forecasting and taking preemptive measures against the complaints.
Keeping track of Street Lights using Arduino with a nodeMCU and A predictive complaint handling system which automatically contacts the engineer before fault.
Te demonstrate data extraction using python and the pandas library
MCR is a crowdsourced machine learning based program that tracks missing persons in CCTV footage by analyzing their movement, checking for possible abductors, and mapping a predicted search area.
Pregnancy is a challenging and exciting time in a family's life. To make it a little easier, we provide a tool that reminds women of the most important suggested prenatal care examinations.
Dynamic visualization of global conflicts
an energy audit without the auditor
Detecting solar connectivity with machine learning
Using data (public record, zillow, SVCE dataset) to determine when a household can realize savings from going electric and target them for retrofit.
Stock market trends' analysis for profit-driven decisions
USGS and Greenstream have water level sensors in the Virginia Beach, VA area. This project predicts water levels for location which do not have a sensor.
Ride share with like-minded anti-litter Philadelphians.
Snap lets you create totally decentralised and automatically rebalancing smart contract portfolios.
A semantic analysis of Google Location Reviews
What trends can we figure out with traffic and collisions? Using the datasets given, can we visualize and conclude if driving in a certain area, time, or day is dangerous.
A image classifier for the picnic hackathon
An exploration into the optimal subsidization strategy and PUMS dataset for Boston Area