The collected data are stored, analysed and modelled using machine learning algorithms to make prediction of water consumption throughout a period of two weeks, therefore informing water suppliers about the amount of water that shall be produced in the future. To make this system more intelligent, machine learning data trains to be conducted on the system by the use of data sensed in different periods of the two weeks from Meteo Rwanda , the consideration of garden watering timetables and schedules to be considered too.
Unavoidably, as the population grows, so do the number of vehicles on the road. Traffic congestion has turned into a common issue in cities and metropolitan areas as a result of the steadily rising number of both public and private vehicles. One of the best and most important IoT projects. This IoT-...
Read more>>It can be extremely difficult to obtain a parking place in cities and other urban regions where population density is increasing by the minute. It takes a lot of time and is really frustrating. IoT has made it possible to find a solution to the parking challenge. This IOT-based smart parking system...
Read more>>Among IoT initiatives, home automation is probably the most discussed. The goal of IoT-based home automation projects is to remotely operate household equipment and objects. Through your smartphone, you can manage and control every home appliance connected to the Internet of Things. In addition to...
Read more>>The production of goods, infrastructure, and services that improve people's quality of life depends entirely on mining. As a society, we are fortunate to benefit from the numerous benefits that industrially produced goods offer us through processing these basic resources. Risks to one's health an...
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