Abstract—The need for smart IOT applications is growing as IOT is becoming anintegral part of our day to day life. Internet-of-Things (IoT) has alreadyconnected millions and millions of devices to the Internet and increasing everyday. As the country is moving towards digitalization, the proposed smart IOTbased system facilitates the need for inference of huge data that is generatedby the IOT based devices. So we thought of designing a project which willdecrease the excess amount of data generated by the system and sent to thecloud. A smart inference filter will be designed which will help to extract theunwanted data that are to be sent to the cloud servers. Machine learningalgorithms will be implemented to decrease the amount of data transferredintelligently by various parameters. Oursystem will have a combination of Wi-Fi, Smart phone, Machine learning andcloud to achieve our goal.
Keywords: IOT, ESP8266, Android,Arduino, Spreadsheet, SVM, Naïve Bayes.