QuoramAI

Inspiration

Knowledge lost in jargain - Municipal minutes in Indian cities run 60–120 pages, written in procedural language, often switching between English and Hindi mid-sentence. Uploaded as scanned PDFs — not machine-readable. The Memory problem - No public-facing database exists of what was raised, decided, and what happened next. Every citizen starts from zero. The same issue is raised, ignored, and raised again — for years.

What it does

RTI on surface is sufficient but requires certain nuances For citizens, Quorum makes local government readable in their language. For accountability, it tracks what representatives actually do. For efficiency, it makes the RTI system smarter — not louder

How we built it

We used clear and concise prompts to leave as little possible room for error in the development using anti gravity software , used precise instructions so as to have least amount of bugs. Made the website in less than 6 prompts to make the final website

Challenges we ran into

We ran into problems while integrating the database so we can't fully store the RTIs for future reference .WhatsApp integration requires a few more steps which we couldn't integrate due to time constraint

Accomplishments that we're proud of

Building an accurate AI bot that gives to the point replies and suggests users accordingly
The AI bot is as nonpartisan as it gets , we have eliminated one ethical barrier for our project
Help the user file RTI without being overwhelmed by the intricacies