Python Web App: Compare Methods of Parsing US Street Addresses

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United States street addresses are surprisingly complicated. For a summary, review section 23 of the US Postal Addressing Standards at [login to view URL] Or if you want more fun, read the Falsehoods Programmers Believe About Addresses at [login to view URL]

Why is it complicated?

Street addresses in the United States are made up of a series of components. Adding to that, there are specialized addressing methods in certain parts of the country (contained in section E of the US Postal Addressing Standards document).

The good news is that you don't need to know anything about addresses for this project :) instead, this project focuses on building a web application to compare different technical methods of parsing individual address components out of a single string containing the street address.

The three methods we will be evaluating:

LibPostal ([login to view URL])

USAddress ([login to view URL])

SmartyStreets Online REST API ([login to view URL])

The attached file is a crude mockup of what I envision the screen to look like.

1. On the left side of the screen, the user inputs a street address (as one single field, not broken up into components), the city, state, and ZIP Code.

2. The user then submits the query.

3. Make sure your responses start with "I LOVE street addresses!" or else they will be ignored. Let's see who's actually reading these descriptions :-)

4. The input is then fed to LibPostal, USAddress, and SmartyStreets to see how each option parses the components out.

My preference is to have this single screen when application be developed using Python. There is a Python bindings library for LibPostal ([login to view URL]), USAddress is a python package, and there is broad REST support for querying the SmartyStreets API.

Looking to start ASAP. This only has to be a bare-bones application. It does not have to be polished. I'm hoping to get it done quickly - it just has to work - no bells and whistles.

Python Django

ID dự án: #20572158

Về dự án

11 đề xuất Dự án từ xa 4 năm trước đang mở

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widadsaghir1993

Hi, there. Greeting! I LOVE street addresses! I read with great interest your posting as a python/django expert. As you can see from my profile, I have rich knowledge and experience in python and django. I feel confide Thêm

$150 USD trong 7 ngày
(104 Đánh Giá)
7.2

11 freelancer chào giá trung bình$275 cho công việc này

sky930320

Dear Sir. Glad to meet you. I'm very interested in your job post. I've full experience in responsive design. Please Hire me. I'll do my best, will make you pleasure with my work. Thank you. Relevant Skills and Experi Thêm

$140 USD trong 7 ngày
(16 Nhận xét)
6.3
DevStar925

I LOVE street addresses! I am very interested in your project. I have rich experience in web development. Especially Python/Django is my major skill and I have already completed several django project. If you hire me, Thêm

$250 USD trong 7 ngày
(20 Nhận xét)
6.4
i8solutions

I can develop using django. contact me for further discussions . regards vasudha .............................

$250 USD trong 7 ngày
(9 Nhận xét)
6.2
adampohp79

Hi. thanks for your posting. I'm very happy to have a chance of bidding your project. I have experience in development of the projects like yours If you hire me, I'll do my best for your project and finish greatly in a Thêm

$140 USD trong 7 ngày
(56 Nhận xét)
5.9
rightbigboss

I LOVE street addresses! Senior web developer and Django expert. I mastered Python and Django in Web Development. I have checked your attached files, and I am confident to fulfill your project greatly. Hoping more chat Thêm

$250 USD trong 7 ngày
(9 Nhận xét)
5.2
uelionobre

Hi, I am full stack developer. I have read all your requirement and I wish to work for your project. I'm very interested in your job post.I believe my skills would be ideal for your project. I am ready to start with y Thêm

$140 USD trong 7 ngày
(0 Nhận xét)
0.0