Metadata-Version: 2.1
Name: EnvBert
Version: 0.0.3
Summary: Predicts classes of environmental due diligence
Home-page: https://github.com/dreji18/environmental-due-diligence
Author: Afreen Aman, Deepak John Reji
Author-email: afreenaman90@gmail.com
License: MIT
Description: # EnvBert
        
        NLP Package to classify paragraphs for various categories of environmental site assessment.
        
        ## Installation
        
        Use the package manager [pip](https://pip.pypa.io/en/stable/) to install foobar.
        
        ```bash
        pip install EnvBert
        ```
        
        ## Usage
        
        ```python
        # returns the predicted class for 
        from EnvBert.due_diligence import *
        
        predict("weathered shale was encountered below the surface area with fluvial deposits. Sediments in the coastal plain region are found above and below the bedrock with sandstones and shales that form the basement rock")
        ```
        
        ## About
        This Package is part of the Research topic "AI for Environment Due-Diligence" conducted by Afreen Aman, Deepak John Reji, Shaina Raza. If you use this work (code, model or dataset),
        
        Please star at: AI for Environment Due-Diligence, (2022), GitHub repository, https://github.com/dreji18/environmental-due-diligence
        
        ## License
        [MIT](https://choosealicense.com/licenses/mit/)
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
