Hey guys, back with a quick update and follow-up devlog on Clarity (claritystudy.vercel.app)!
In my first post, I broke down the core tech stack and the initial workflows I was setting up. Since then, I’ve been focusing heavily on the underlying why behind this project.

I noticed that in many CBSE schools, students struggle to hit perfect scores even when they understand the concepts incredibly well.
The real culprit is usually a lack of specific keywords, missing critical terms, or not sticking to the exact answer criteria examiners look for.

To fix this, I’ve been expanding Clarity to act as an AI study buddy that helps students align perfectly with those CBSE keywords and answer schemes through NCERT textbooks.

Since the last update, I’ve built out the concrete skeleton for these foundational features, hooking up the backend to handle a few more moving parts:

The daily mission engine to gamify study streaks and prioritize heavy topics

The adaptive practice tracker to map exam readiness directly against CBSE blueprints

OCR-driven workflows where you can snap a photo of a textbook question or PYQ to digitize it instantly

A custom AI tutor prompt setup tailored specifically to break down complex NCERT derivations step-by-step

A newly added leaderboard to keep students motivated and a parent portal for tracking progress

Now that this core skeleton is officially set up, my next focus is going to be entirely on polishing the existing features and integrating the feedback I receive.

Check out the current build here: claritystudy.vercel.app
Drop your thoughts below—would love to hear any feedback on the UI or the features so far!

ALSO PS:- CHANGE TO THE MAIN HERO FEATURE OF THE WEBSITE.. AND UGLY LOOKING AI PIC WAS REPLACED WITH A COOL INTERATIVE CLARITY FETAURE “MINDMAP” ig?