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Optimize Energy Efficiency at the University of Waterloo Lecture Rooms Using Machine Learning, Environmental Data Analytics, Sensors and ioT to
Solving data agregation problem and empowering consumer & business with actionable intelligence. Built around a aggregation unit plug and play in BMS
Our solutions to the EESL Hackathon 2019 - CCMS fault detection
An end-to-end Machine Learning system to reduce workplace energy inefficiency
IoT System for Solar Energy mushroom plantation
To provide an interface for users to help them with benefits of EVs or simply EVs and how EESL can upscale their buisness model
A progressive web app for users to facilitate them with EV charging services, with real time updates on Waiting Time, and navigation to the station.
Companies who want to be persuaded to become more sustainable will enter the percent of energy usage they wish to achieve, and will see how their costs will increase or decrease.
An unique app for your electricity consumption management
A smart solution to the street light monitoring with CCMS using a large amount of data analysis and machine learning algorithms. The purpose is to analyze the dataset and check their functionality.
Street light fault detection and prediction.
Most viable and feasible electric vehicle.
innovative and efficient business model with technical enhancement
A cheap, yet robust solution for Error Detection, Reporting & Prevention
Machine Learning Algorithm for Efficient Power Theft Detection using Smart Meter Data
A Smart Light Monitoring System
Emergency response system, on the blockchain of survival
Smart Appliance fault detector
Demand is not stationary so are not our solutions
Data Driven Classification and Predictive modelling of faulty streetlights.
Providing real time data of all the charging stations on a map, to enable user to choose the best possible nearby charging station
CCMS Solution using data science
Helping Small Businesses Protect Info
