Distant temperature and humidity monitoring: prediction and measurement

Sensing environmental measuring parameters has a pivotal role in our everyday lives. Most of daily life activities depend upon conditions. Accurate information about these also helps several industrial applications like ventilation rate calculation, energy prediction, stock maintenance warehouses, and saving from harmful The emergence machine learning can make it easy to predict such time series problems. This paper describes the design remotely controlled robotic car for predicting humidity temperature. A customized app accessing is designed indicate predicted realtime measured values sensor installed builtin measurement. recurrent neural network (RNN) model used For this purpose, experiments are carried out both outdoor indoor settings. Accuracy 85% 90% achieved an environment