Inspiration

The inspiration arose due to the media talking about if users should read each and every line of terms and conditions when the FaceBook scandal broke out a couple of years ago. The idea was such that there should be some program that scans those huge contracts and points out some information or lines which might be worth considering again for a user before agreeing.

What it does

Our project takes in an agricultural contract in PDF format and scans it for Legal Jargon and other important clauses. It then displays the important clauses to the user along with an AI generated simplified summary

How we built it

We used Python(Flask), HTML and CSS in order to build our project

Challenges we ran into

Figuring out how to display python outputs onto a webpage. Formatting the text's UI. Connecting different APIs.

Accomplishments that we're proud of

Successfully returning an AI-generated summary of agricultural contracts. Developed a webpage that could present our logic well.

What we learned

Dealing with APIs, using Flask, contracts, and their important components.

What's next for KISAAN

The next idea could be expanding this idea to a broader scale of using it in TERMS AND CONDITIONS files.

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