Closed hariharan-leela closed 1 year ago
@dhananjay-leela update is done, check and let me know
@indikale - Create a new Sprint to enhance the backend model to store the Website Category @dhananjay-leela - When users give a website name, we will show its own as well as relative analytics for that category
Website Category:
E-commerce: Sites like Amazon, eBay, etc. Social Media: Sites like Facebook, Twitter, Instagram, etc. News and Media: CNN, BBC, New York Times, etc. Entertainment: Netflix, Spotify, etc. Education: Coursera, Khan Academy, etc. Utilities: Dropbox, Google Drive, etc.
Type of Cookies:
Essential Cookies: Cookies that are vital for website functionality. Performance Cookies: Monitor website performance. Third-party Cookies: Cookies set by a domain other than the one the user is visiting.
@indikale @hariharan-leela
Check out this Python library, which we can use for the categorization of websites that use a web crawler using NLP and ML algorithms to figure out what type of website it is.
PyPi Website: https://pypi.org/project/website-categorization/ Official Website: https://website-categorization.whoisxmlapi.com/api
Some screenshots of image comparison websites, we use to implement for our comparison page.
Looking into creating a wireframe for the comparison UI we are trying to build on mobile. There are multiple ways we can achieve this but some of the paths i have explored are by using a Chrome extension called https://www.wirify.com/ which converts any website UI into a wireframe. Check the screenshot below.
Started also working on a figma project, by using a html.to.figma plugin i have managed to import web UI into figma project, you can view it here.
Continued working on the Figma to update the current design to adopt the cookies webpage currently built on odoo.
Downloaded a mock template and modified the layout to our use case. Work still in progress, learning figma as a tool
@indikale awaiting on repo updates.