Python: Programming language
Django : For web app
Requests: For making HTTP request to blog pages
BeautifulSoup: To parse webpages
RakeNLTK: To find relevant keywords
Visual Studio Code
Contextual advertising is a technology that finds relevant ads from a given blog article to maximise a blog or websites revenue. Contextual advertising is the reason why we see an ad for nike shoes on a fitness related article. In this project, I build a contextual advertising platform which reads data from any blog who's URL you pass in, find relevant keywords on that blog and find ads which are relevant to them. All of this is done automatically. I first create a basic Diango app that could accept a blog URL. then read all the data on that blog page using the requests library and parse the data using BeautifulSoup. I then feed the parsed data to the rake library which then finds the most relevant and prominent keywords in that blog article. These relevant keywords are then matched with the ads present in our database and gives us back the ads which are most relevant to the blog post.
Finally, I style the web application with Tailwind.
