imansdn/khabgahyar

Find a dormitory with the help of machine learning and divar.ir

khabgahYar

khabgahYar finds a dormitory with the help of machine learning in 4 steps:

• 1. ask your city and how much money do you have .
• 2. get datas from "divar.ir" and parse them (web scrapping).
• 3. filter and add them to databse .
• 4. use machine learning to find a suitable dormitory for you .

Tech

KhabgahYar uses a number of open source projects to work properly:

• [scikit-learn] - a free software machine learning library for the Python programming language.
• [Beautiful Soup] - a Python package for parsing HTML and XML documents .
• [Requests] - the only Non-GMO HTTP library for Python!
• [mysql] - MySQL is an open source relational database management system (RDBMS).

And of course KhabgahYar itself is open source with a public repository on GitHub.

Information Resources

KhabgahYar use Divar(a classified ads platform in Iran with more than 13 million active Installations in the year )

Briefly about Sk-learn

x = [(input1,input2,...)]
y = [(output1)]
clf = tree.DecisionTreeClassifier()
clf.fit(x, y)
answer = clf.predict([[new_input1, new_input2,...]])

Development

Want to contribute? Great! Fork and make your changes in the source and instantaneously send your pull request!

Acknowledgments

Thanks to Jadi for helping me as a super professor in this project ❤ .

Run and enjoy!

which city?

how much prepayment?

how much monthly rent?

look at the result!