Implementation of recommendation system and technology for villages using machine learning and iot

Abstract

With the advancement in smart city technologies, there is a need for developing the rural part of the country. The smart village is equipped with the integration of online recommendation online system, security and automation are aimed in this paper. There is a need for a system that defines smart security of home/go-downs with the smart face recognition technology for intruders and a fire sensor to detect the fire and smoke, and in case of any emergency the water is being sprinkled. The villages in our country need to have a modern garbage system to segregate the dry and wet waste as well as a device that checks for moisture content in soil and sprinkle water when required. Additionally, the proposed system also contains a heartbeat sensor and a pulse sensor to have a quick checkup of the local people; hence, implementing precision agriculture and health monitoring facilities for smart village. The whole system is made to work using renewable energy that is sunlight and the owner is alerted through emails and messages in case of any emergency through Twilio app and ThingSpeak. E-learning is the new medium for learning which has grown in the last decade. The Internet has evolved and has been developed rapidly in an exponential manner. With the rapid development of this new era of Internet, it has given rise to many applications and has proven its potential to impact billions all over the world. One such domain is the usage of Internet to create an impact in the educational domain. With the introduction of massive open online courses now education has been made widely accessible to each and every one. Here we discuss the recommendation system of E-learning platform and the major problem faced by E-learning, i.e. dropouts. The main intention of this paper toward recommendation system is to develop an integrated application that combines the effects of the recommendation system and dropout prediction. Using this smart education system, poor kids can get online support where they don’t have proper guidance and teachers can use this portal. We have our best to implement the application by researching various research papers.