Inspiration
Current increase in data privacy and cybersecurity trends.
What it does
This assistant is aimed to help businesses with consumers based in California by checking the businesses' compliance to CCPA rules and guidelines.
How we built it
The base logic and reasoning is written in Prolog and s(CASP) while the business interface for questions is written in Python3.
Challenges we ran into
Knowledge Representation and Reasoning based language was new to the entire team, so being different from the languages we were used to, we had to come up with new approaches and out of the box thinking.
Accomplishments that we're proud of
We were able to create an assistant that we set out to build. We are proud of being able to reach very close to what we had initially planned.
What we learned
We learned a language based on KRR and added a new toolkit in our arsenal to solve common sense reasoning based problems in future.
What's next for Privacy Compliance Assistant
To implement it for other similar compliance acts. Provide more insights based on the questionnaire using more rules and facts. Create a historical database for companies to keep track of their progress. Provide companies with solutions to minimize losses.
Built With
- prolog
- python
- s(casp)
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