Abstract : The smart home refers to domestic
environment that improves the quality of the resident’s life by facilitating
a flexible, comfortable , healthy and safe environment. Internet based home
automation systems become the most popular home automation system in
international markets. Recently , User intention prediction using contextual
data generated by IOT has become an emerging research area in Ubiquitous
Computing Environment. Television ,Mobile ,Healthcare , Smart homes are some
of the applications where the user intension is predicted.
IOT also means that each
object or thing is connected and communicates through the internet without
human intervention , and the ultimate goal of IOT is to enhance the quality
of human life. In recent days the work and life of human
being’s are increasingly busy and complicated with the rapid growth in
communications and information technology. As the economic expansion is
growing rapidly, the standard of living also keeps on rising up and the
people are requiring more living functions. The concept of smart home has
focused the attention of re-searchers. A lot of efforts have been done for
the development of home automation to control that remotely. Smart Home is an
advanced technology to make a house to become intelligent and automated.
Usually, that technology has automation systems for lighting, temperature
control, security and many other functions.
The large number of sensor node wired
connected to the server. This will cause the problem during upgrading the
system and the area network ranges are limited. Wireless communication has
been introduced into a Smart Home system in recent years. In previous work
the device was attached to the wall. The user need go to the device location.
Therefore, this project has purpose predicting user intensions powered by
Android as a user interface device. The AP uses Raspberry Pi. In this project
we are developing an android based smart home mobile application where we are
going to predict user‘s activity by using the contextual data. The parameters
like user id, location & also the status of the device embedded in smart
home are considered for achieving prediction. The hardware devices used in
our project are Raspberry kit, Arduino UNO ,Relay, Rfid reader and reciver,IR
sensor, Temperature and humidity sensor, Force sensor,led,5V bulb. Using
Python programming language the data sets are trained & tested to predict
user‘s activity based on contextual data.
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Abstract : In the recent years, widespread use of smartphones
increased the popularity of using Location Based Social Network (LBSN) and
Global Positioning System (GPS) for finding the user location. Connected wifi
or Bluetooth can be used to know the next approximate position by tracking
information from the network within the campus. Widespread use of android
mobiles made humans easy to track location.
In this project
“Mahithi” which is an android application that can benefit the users like student, faculty, parent and HOD, to
get the day to day updates of academic details like, attendance status, exam
results, placements, time table and notifications. Using Android, it is an
operating platform for mobile devices such as smart phones, tablet and
computers. The Android platform is a software stack for mobile devices
including an operating system, and key applications. Developers can create
applications for the platform using the android SDK. Mobile apps can have the
compatibility, share ability, immediacy features in effective manner. Faculty
and parents need to continuously monitor the student’s activities in order
for them to be aware of any difficulties the student is facing. Understanding
the student’s problem, fear or confusion will give the faculty a better
understanding the student’s learning difficulties
.
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