Social media applications are being widely popular in this era such as Instagram, Twitter, Facebook and etc.The users of social media have been vigorously increasing as that of its data. Hence many researchers started to study and analyse it for different purposes, like based on locations detecting the event photos, clustering its contents, advertising strategies etc.Our Target here is to develop an application for social sites which will arrange images by their captions using TF IDF. Method to rank the keywords of top twenty users based on 10 newly image captions are used.TF-IDF is the method used successfully in this paper to reveal a set of keywords with its ranking. The highest ranking of keywords shows the current topic of user. TF-IDF is an useful to find and rank the keywords of social media users image caption. Thisapplication is suitable for Facebook, Instagram etc. for arranging these types of images by caption. We are using Java, JSP as front end and MySQL as backend also will use bootstrap, CSS, JQuery for better GUI. Here we are uploading images and caption then performing TF IDF on that after calculation we are using show result button which will display top 10 images based on our trained caption. This will check all images uploaded by our friends.”

I. I NTRODUCTION The heart diseases are the main reason for the sudden deaths and causes a high mortality around the world yearly. Unfortunately, heart diseases patients are obligated to stay at their home without making any potential that stress the heart. However, most of the patients die before they get any treatment because they do not feel sick until the disease become at a critical stage [1]. Therefore, the physician has to monitor the physical status of the patient’s heart continuously to prevent any urgent relapse in heart status and then reducing the deaths. It is difficult to keep all heart patients in the hospital to monitor their status. Instead, developing real-time monitoring healthcare system based on wireless technology is an effective solution for the physician to monitor their patients remotely [2]. The phrase "Internet of Things" IoT was used for the first time in 1999 by Kevin Ashton during his works at MIT's Media Center [5]. This concept is used to express the connection between the machines and computers through sensors and using the internet as a mean to accept control commands and reporting status [6]. IoT is around for a long time but without a name, machine-to-machine (M2M) was available for many decades and is the nearest concept to IoT. There are many other names for IoT such as Ubiquitous computing and internet of everything [7]. Generally, the term (IoT) refers to a dynamic and global network infrastructure which consists of a large number of network connections and computing capabilities extend to objects, sensors and everyday items not normally considered computers [8]. These devices are allowed to generate, consume and exchange data with a little human intervention. The large-scale implementation of IoT transforms many aspects to the products such as home automation, energy management devices, networked vehicles, intelligent traffic and health monitoring devices [9]. IoT brings great convenience to the healthcare field, especially for patient monitoring and tracking management. Accelerated development of the internet, cloud computing and Internet integration of medical monitoring and management platform provides new opportunities for the hospitals and care centers to

Keywords: Internet of Robotic Things (IoRT), Robotics, Sensors, Cloud Computing, Artificial Intelligence (AI), Machine Learning(ML). I. I NTRODUCTION The IoT and robotics culture has been supported by different but highly complementary goals; the first aimed to promote information services for detection, tracking, and ubiquitous surveillance, and the second to create movement, interaction, and interaction behavior. [1] As a result, it is increasingly believed that the development of an (IoRT) that combines the results of the two cultures will have great added value. Early signs of IoRT integration can be found in control concepts of clustered and heterogeneous robots such as networked robotics or robotic ecology, as well as strategies such as ubiquitous robotics and cloud robotics hosts resource- intensive technologies on the server-side [2][3][4] [5] [6] [7]. In an Allied Business Intelligence (ABI) research report, the term "Robotic Internet of Things" was coined to describe the structure in which sensor data from various sources is combined, interpreted using local and distributed information, and used to monitor and verify things in the physical world [8].