Abstract
Since the beginning of the 21st century, computer technology has flourished,
and people's lives have undergone many changes. For example, the dissemination of
information and the publication of opinions are becoming faster and faster.
Contemporary college students can quickly understand the news and trends of
today's society through online platforms. In addition, they can also use the comment
function of various platforms to express their opinions or opinions. It can be seen
that computer technology has not only changed people's lives in areas such as
clothing, food, housing, and transportation, but also made contributions to modern
life in various fields. In the era of underdeveloped internet, if people want to buy a
new house or understand the housing price, they can only obtain information
through small advertisements in the bulletin board or through intermediaries.
However, this form is labor-intensive, the process is very cumbersome, and it cannot
guarantee that buyers can obtain accurate information. Therefore, the consultation
and housing price prediction methods for real estate sales have gradually been
replaced by networked electronic systems. At the beginning of the development of
computers, there were many web pages promoting their own properties. However,
due to technological limitations, many functions could not be implemented, and
hardware equipment limitations, the system was not perfect. There were many flaws
that did not meet the usage habits of homebuyers, as well as many functional
defects.
This system is developed using Python language and MySQL database. It can
provide various functions such as house price prediction, house analysis, and user
management for people who are preparing to purchase houses or want to know
about rooms in various regions. Users can predict the prices of their desired houses
without the need to check the prices of each property in different periods, avoiding
unnecessary economic losses caused by entering during the peak housing prices..
Keywords: House Price; Forecast; Python； MYSQL
