An IoT based P2P model for Water Sharing using Machine Learning


With climate change garnering world wide attention, it's resultant affects, in particular on water have also been projected on the world map. This paper focuses on conserving water by making use of IoT and machine learning. We evaluate our prototype of P2P IoT architecture by running a machine learning model in each peer and use it to predict water requirement in the future. The peers then directly interact with each other without a central server. The model provided can then be used to share water. Our machine learning model predicts water requirement in each peer with very less error, thus proving it's utility.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL