• We Cleared round 1

• This was the round 1 problem statement of Xpressathon1.0 organized by Xpressbees
• Performed Address Normalization on random addresses
• Used python3

Normalize unstructured raw Indian addresses by segregating personal information and address to a defined json structure. Addresses can contain spelling mistakes which need to be corrected and addresses need to be geocoded.

• We fetched the pincode from each line of address.
• Used those pincodes to get to know the City, State, Locality.
• From this info we were able to get the geocodes.
• We performed data sanitization to ensure that no misspelling exists.
• We then finally outputed the collected data in json format.
• This output was then written to a json file.

• pgeocode
• json
  These can easily be installed using "pip3 install library-name" in any code editor's terminal

• Clone this repository to a code editor
• Either open the file Address-normalization.py and then click on run icon of the code editor
• Or in the terminal write:
  • python Address-normalization.py

• For the addresses that doesnot include a pincode or for addreses that weren't recognized by our library, our application returned "NaN".