CogniWapp

Description

• Keeps a check on incoming messages through basic web-scraping and automation using selenium.
• Filters out received messages according to pre-entered list of critical words/phrases.
• Ease of getting useful information from piles of messages, rather than mining out important piece of texts from piles of conversations.
• Translate the received messages in your desired language.
• Aims to have a auto-correct algorithm implemented to have better accuracy while filtering/translating messages.

Dependencies

• Python version >= 3.6
• selenium with chromedriver for chrome browser compatible with each other
  pip install selenium
pip install webdriver_manager
• get chromedriver from https://chromedriver.chromium.org/downloads
  
  • move Chromedriver to Binary location sudo mv chromedriver /usr/local/bin/ (On Windows, just add the location of chromedriver to PATH env-var)
  • change cd to Binary cd /usr/local/bin/
  • make executable permission to chromedriver sudo chmod +x chromedriver

Getting started

• Fork this repository (Click the Fork button in the top right of this page, click your Profile Image)
• Clone your fork down to your local machine

git clone https://github.com/your-username/CogniWapp.git

• Create a branch

git checkout -b branch-name

• Make your changes
• Commit and push

git add .
git commit -m 'Commit message'
git push origin branch-name

• Create a new pull request from your forked repository (Click the New Pull Request button located at the top of your repo)
• Wait for your PR review and merge approval!
• Star this repository if you had fun!

Contributors

Future Aspects

• Translate texts
  • For desired range of messages, fetch the text and request Google Translator Ajax API to translate the given text to English or any other desired language
  • Install googletrans python package to call the API pip install googletrans
  • Visit https://pypi.org/project/googletrans/ for further details on usage and GitHub repository for googletrans
• Auto-Correct Typos
  • Refer to https://norvig.com/spell-correct.html for implementation details for autocorrect algorithm