rental home system for nearest place prediction · rental home system for nearest place prediction...
TRANSCRIPT
RENTAL HOME SYSTEM FOR NEAREST PLACE
PREDICTION
R. Nandhini1, K.Mounika2, S.Muthu Subhashini3, S.Suganthi4
1Assistant Professor, Department of Computer Science and Engineering , Karpagam College
of Engineering, Coimbatore.
2,3,4Student, Department of Computer Science and Engineering, Karpagam College of
Engineering, Coimbatore.
ABSTRACT
We propose to rented home
system with java script technology for
users. User can search rented home in
various places like district wise and local
area wise With the current paradigm shift
in technological field, there is an urgent
need to embrace and appreciate the power
of technology. Housing sector remains
vigilant to face the challenges of change
by employing a new strategy that
facilitates easy management of rental
houses. Distance vector routing protocols
have been widely adopted as an efficient
routing mechanism in current Internet, and
many wireless networks. However, as is
well-known, the existing distance vector
routing protocols are insecure as it lacks of
effective authorization mechanisms and
routing updates aggregated from other
routers. As a result, the network routing-
based attacks become a critical issue
which could lead to a more deteriorate
performance than other general network
attacks. Hence there is need to develop a
rental house management system that can
simplify work for the rental managers so
that all their work can be efficient and
effective. To get information about how
rental houses are currently being managed,
the user input values and submitted to
server. the server manage the number of
rental house information.
Keywords: location prediction, house
quality, vacant place, distance vector
algorithm (DVA).
I.INTRODUCTION
Rental Home Management System are to
Ensure all rental housing exceeds adopted
minimum housing quality standards
through systematic code enforcement.
Encourage a range of affordable,
accessible, and decent rental housing
options throughout the community.
Consider expanding the use of housing
preservation programs whenever
appropriate. Encourage participation in
and use of low-interest rehabilitation and
home purchase loan funds. Promote
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adaptive reuse of existing vacant or under-
utilized structures, such as convents,
schools, and industrial buildings, into
housing with an affordable and/or
workforce component, where appropriate.
Encourage the expansion of the capacity of
neighbourhood associations. Promote
residential educational workshops
regarding restoration, rehabilitation, and
maintenance. Encourage relocation of
existing housing as opposed to demolition
whenever possible; when removal is
necessary, require deconstruction and
landfill diversion as much as possible
Promote historic preservation as the
cornerstone of housing and neighbourhood
revitalization programs, to promote
economic development and attract younger
residents.
Improve and prepare the home for rent - A
property manager will suggest and oversee
cosmetic improvements that maximize
revenue.
Determine the best rent rate - Too high and
you are stuck waiting, to low and you’re
losing money every month the tenant is in
the unit. Determining the optimal price
requires knowledge of the local market,
data on recently sold comparables, and
access to rental rate tool .Effectively
market your home . An experienced
property management company has
written hundreds of ads and understands
what to say and where advertise in order to
get larger pool of candidates in a shorter
period of time. Additionally because of
their volume they can usually negotiate
cheaper advertising rates both online and
offline.
II.PROBLEM STATEMENT
In our day-to-day life, buyer’s face a lot
of issues related to household such as
reporting an issue, tracking the location
and receiving necessary information
instantly etc.., and similarly seller’s also
deal with issues such as keeping track of
issues in apartments, notifying that a
package has arrived, sending emergency
information quickly to the buyers etc.
Currently there is no app which focuses on
to resolve this particular issue. The
existing app help to solve the issue but not
in an effective manner. To help overcome
the problems faced by buyers and sellers, a
new app is developed. This app focuses on
to build a better relationship between
buyers and sellers by simplifying many
tasks such as sending automatic rent
reminders, package notifications, utilities
bill, emergency info, location information,
documents and sharing issues.
III.RELATED WORK
Rental house management has become
important factor in modern society hence
the need to have a rental house
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management system[3]. This chapter will
provide a brief understanding about
background of study, definition of the
project problem statement, its objectives,
scopes, project justification, risks, project
deliverables and project budget and
schedule. Housing has a central
importance to quality of life with
considerable economic, social, cultural and
personal significance. Though a country’s
national prosperity is usually measured in
economic terms, increasing wealth is of
diminished value unless all can share its
benefits and if the growing wealth is not
used to redress growing social
deficiencies, one of which is housing
(Erguden,2001). Housing plays a huge role
in revitalizing economic growth in any
country, with shelter being among key
indicators of development. The universal
declaration of human rights gives one of
the basic human rights as the right to a
decent standard of living, central to which
is the access to adequate housing (United
Nations, The Human Rights-article 25,
1948)[7]. Housing as a basic human right
demands that urban dwellers should have
access to a decent housing, defined as one
that provides a foundation for rather than
being a barrier to good physical and
mental health, personal development and
fullfillment of life objectives (Seedhouse,
1986). The focus of this research project is
basically managing housing for low
income, medium and high incomes
households or what is commonly known as
affordable housing. „Affordable‟ is a
term used to describe individuals‟
capability to pay for certain products or
services because their income is enough to
do so. Although the term „affordable
housing‟ is often applied to rental
housing; that is within the financial means
of those in the lower income ranges of a
geographical area, the concept is
applicable to both middle and high income
individuals[5]. Most families choose to
rent houses based on their income and
family situations; unfortunately, there may
not be enough good quality rental housing
for these families. Housing is a major
problem in Kenya especially in Nairobi
city. Millions of people are living in
sprawling slams and also in other informal
settlement around Nairobi (UN-Habitat,
2008). This explains why many people
have shifted their focus to developing
rental houses in Nairobi and other parts of
the country[9]. The demand for rental
houses is extremely high and more rental
houses need to be put in place. Developing
rental houses comes with many advantages
especially to the Landlords who are able to
increase their profits through rent paid by
the tenants. Increased number of tenants
and Landlords makes management
difficult especially for the landlords who
are losing huge sum of money through
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tenants who evade rent. The above
statement gives a clear declaration as to
why rental house management system
need to be developed.
IV.PROBLEM WITH EXISTING
SYSTEM
Currently the most property managers
manage property and tenants details on
papers. Once customers finds a vacant
house, they can call or email manager of
the houses indicating the size of the house
they would like rented to them. The
property manager can email them back
giving them all the details about the house
they are requesting. The details include;
Rent per month Deposit paid Terms and
conditions to follow acceptance.
With the current system recording the
details of various activities of user is
completely manual and entails a lot of
paper work. Each house has a file that
contains the house: number, size, rent per
month, expected deposit, occupant and
status. Rent payment table contains
tenants: first name, last name, Phone
number, date of payment, amount and
balance if any. The existing system only
provides text based interface which is not
as user friendly as Graphical user
interface. Since the system is implemented
manually, the response is very slow. The
transactions are not secure as papers may
get lost or damaged. Hence, there is need
of reformation of the system with more
advantages and flexibility. The system
eliminates most of the limitations of the
existing system.
V.PROPOSED SYSTEM
User initially want to sign up and create
the account and user logs in the system
automatically will show number of rented
house in particular places. In this
information like owner name ,house rent,
address, and mobile number will the user
to avoid the house broker, rent payment
form, registration form. Each form has
several command buttons like new, search,
cancel, Back and exit. With the command
buttons you can manipulate the database.
If you want to add data to the database all
you need to do is to click on new then
input data in the textboxes provided then
click save and the data will automatically
be saved. If you want to view data in the
database you just click Search button and
the data will be displayed for you.. You
may enter data then decide to cancel it, it
is simple click on cancel and it will be
canceled. further ,with this location also
available. Picture of the places will be
uploaded daily to the seller. The buyer can
subscribe the needed location so he/she
will receive the notification if any
updation of homes occurred in the required
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place. If buyer has any queries he/she can
contact us through customer care service
option provided in this app. The queries
will be rectified with in one week.
Using Distance vector algorithm, we
present the security mechanism including
the message exchange and update
message security authentication
mechanism. The suggested approach
shows that the security mechanism can
effectively verify the integrity and
validate the freshness of routing update
messages received from neighbor nodes.
In comparison with exiting mechanisms
(SDV, S-RIP etc), the proposed model
provides enhanced security without
introducing significant network overheads
and complexity.The classical Bellman-
Ford algorithm is used for computing
shortest paths between any two given
nodes in a graph. The distributed version
of this algorithm (DBF) was the origin of
most of the distance-vector routing
algorithms and protocols used today.
VI.CONCLUSION
Effectively resolving the apartment issues
is important to the buyer's long-term
future, the Rental Property Management
app will be an important tool for creating
rental housing stability by helping tenants
speak with greater credibility through
initiating and documenting
communications and building productive
relationships with sellers. Rental property
management provides buyers of specific
housing associations and social sellers
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with a simple way to report and arrange
repairs to properties. Finally, the goal of
the app is to create a better relationship
between tenants and a sellers which can be
achieved through this app.
VII.FUTURE WORK
In future our project is meant to satisfy
the needs of rental house owners.
Several user friendly interfaces have
also been adopted. This package shall
prove to be a powerful in satisfying all
the requirements of the users It is with
utmost faith that I present this software
to you hoping that it will solve your
problems and encourage you to continue
appreciating technology because it is
meant to change and ease all our work
that seems to be very difficult. I don't
mean that my project is the best or
that I have used the best technology
available it just a simple and a humble
venture that is easy to understand .In
extent we can add GPS system in build
and can give live chat online option to
users. This app can also be extended to
iOS Platform and several state Database
can be included. Could also allow local
business to push deals/coupons within a
certain geographic area.
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