Submission: <We_Utopist>

[Kedyi]

Team Name

We_Utopist

Team members

Member # 1
Name: Komal
Email: [email protected]
Twitter handle (hyperlinked): https://twitter.com/Komal94604758

Member # 2
Name: Namrata Bose
Twitter handle (hyperlinked): https://twitter.com/namrata_bose_

Member # 3
Name: Divya Kumari Mishra

Project Name

Recommend_NEW

Contact Details (Leader)

[email protected]

Project Track

Education

Link to project GitHub public repo

https://github.com/Kedyi/recommend-new

Link to project website

No response

Link to demo video

https://drive.google.com/file/d/197Kik2MfuckqQ5cU6T5d_Z3uc-tE_asJ/view?usp=sharing

Inspiration

The lack of proper knowledge about which books we love or what are we interested in motivated us to make this book recommendation system. This can not just be used for entertainment but also for study purposes because a lot of student don't have the idea what to study and in which topic they are interested in.

What it does

The purpose of this book recommendation system is to predict buyer’s interest and recommend books to them accordingly.
"Recommend_NEW" can take into account many parameters like book content and book quality by filtering user reviews.

Challenges you ran into

A proper guidance was missing as we had 48hrs and we were really new to framework that we used(flask). But the developer community really helped us as there were a lot of resource to find our solutions from.

Anything else?

No response