Air Fare Tickets Prediction System using Data Mining |
Author(s): |
| Nidhi Kochrekar , Padmabhushan Vasantdada Patil Pratishtans College of Engineering; Unnati Bhagane, Padmabhushan Vasantdada Patil Pratishtans College of Engineering; Vishakha Bhoir, Padmabhushan Vasantdada Patil Pratishtans College of Engineering |
Keywords: |
| SVM; Random Forest; air fare; ticket prediction; Data mining; Comparison |
Abstract |
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In this age of digitization and automation, human life is getting simpler because almost everything is getting automated, replacing the old manual systems. For developing nations like India, the consumption of electricity is higher. Also, many people forget to switch off the lights when not in use, this led to wastage of electricity in huge amounts. This paper describes a low cost and scalable framework for home control and monitoring the environment. It employs an inbuilt micro-web server in the NODE MCU(ESP8266), with remote access to and control of devices and appliances via IP address connectivity. These devices can be operated through a web application or an Adafruit app based on Wi-Fi or via voice control (like Google assistance). So it will become easy and comfortable for humans to control the appliances from wherever in the world and switch off the lights if they forget to do so and saves electricity. |
Other Details |
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Paper ID: IJSRDV8I30168 Published in: Volume : 8, Issue : 3 Publication Date: 01/06/2020 Page(s): 305-308 |
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