Inspiration
helping others always inspire me to solve more solutions.
What it does
It specifies the user specific data which was fire as query for the solutions.
How we built it
we make Flask as backend to run html code for web application, while we use python GUI and algorithms to make desktop application.
Challenges we ran into
we found challenges while connecting Flask and HTML. And also while learning Fastn module of Javascript.
Accomplishments that we're proud of
learning new technologies and making network with other makes us proud.
What we learned
we learned about some new technologies like FASTn, Highlight.js, Flask, APIs, etc.
What's next for Content Recommander
we will try to do web scrap of data from multiple sites for our database.
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