Water usage prediction using automated home garden watering system
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.
Related project idea for free
Vehicle collision avoidance IOT system
Driver-assistance systems called collision avoidance systems, sometimes known as crash avoidance systems, use sensors and algorithms to identify possible hazards or obstructions and issue alerts to the driver to help prevent a collision. A collision avoidance system is a type of safety device used t...
Read more>>Household pollution monitoring and prediction system using IOT
Indoor pollution has become a concern all over the world. The means of source of fire in low-income and middle-income countries use firewood, charcoal, and liquefied petroleum gas (LPG) for cooking daily. According to the world health organization, an estimated 1.6 million people die annually due to...
Read more>>Smart airtime vending machine
The most important intention of this thesis includes undertaking modern technology by designing and implementing a smart airtime vending machine known as a self-service airtime vendor machine that will come as an additional method apart from the current airtime selling and buying methods which are m...
Read more>>IoT-based conversational AI Recommender assistant for vital sign predicted anomalies
In most real-time scenarios such as emergency first response or a patient self-monitoring using a wearable device, it is likely that accessing a healthcare physician for assessing potential vital sign anomalies and providing a recommendation will be impossible; thus potentially putting the patient a...
Read more>>Crop conditions monitoring using IOT and transfer learning: Case study Maize in Rwanda
Food insecurity is a huge problem that is affecting countries under development, particularly in sub-Saharan Africa. The ability to collect data with high resolution and field wide in precision agriculture has come to the attention of key players in agronomic crop production as well as in agronomica...
Read more>>