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With the Arrival of robotics and Artificial intelligence in the last few years we have been experiencing a significant change in the robotic applications used for regular activities. Nowadays, cost effective cleaning robots produced by industry are far away from the purchasing capability of normal householders. In this paper, we have proposed an AI model to develop a minimum expense floor cleaning Robot, we developed a functional floor cleaning robot model as well as the methods of the indoor navigation and location system. This robot can find the region and cleaning a certain region of a floor independently, no human intervention for cleaning and waste disposal. [ABSTRACT FROM AUTHOR]

Internet of things-Any device that is connected to internet represents internet of things. A thing can be a sensor or device or anything that physically exist in the real world. Now-a-days-IOT plays a very major role in every aspect of life. IOT sensors made efficiency and convenience for human life. Internet of things in the field of irrigation is very beneficial to farmers. In IoT-based smart irrigation, system monitors the crop condition with the help of sensors and automating the irrigation system. IoT-based smart farming is highly efficient than traditional model. IOT in agriculture has given a very big impact. [ABSTRACT FROM AUTHOR]

A lot many indoor localization and mapping process has been introduced during the modern computing era, however the localization techniques has been applied in Artificial intelligence since few years in different environments as a robotic services,. The comparative study on various indoor localization algorithms like Dead Reckoning and smart SLAM are examined and data collection process with various sensors on smart devices and robots are examined for future POS Model building with effective customer services at the huge Shopping malls and predictions for the customer based on his history. Machine learning algorithms implementation into POS(Point of sale) at Large Shopping mall will help the users in identifying and pointing needed product will make the POS system faster service to Customers. This makes the user assistance and sales process as quick as we like E-commerce applications. [ABSTRACT FROM AUTHOR]

Detecting the public pulse is sub topic under sentiment analysis, but it is unique in terms of direction. In most cases of sentiment analysis any document will have positive and negative reviews a machine will train to predict the polarity of the new documents. The public pulse detection on a decision is multidimensional, every decision has multiple events and each event is having positive and negative reviews. Obtaining the final decision is a challenge. This article develops a deep learning model to predict the public pulse based on the CNAPR dataset. The model predicts more accurately and it is having a loss of 0.24. [ABSTRACT FROM AUTHOR]