Senior QNA began with a small, personal problem: Yumesh's sister was preparing for a Class 9 MCQ competition. He built a simple practice app so she could prepare across subjects, and she used it before doing well in the competition.
That early useful idea became a larger learning platform: Class 9-10 practice, IOE engineering entrance preparation, and IOM medical entrance preparation. The expansion shifted the challenge from showing questions to making practice, mock exams, result analysis, question delivery, and quality controls work together responsibly.
Course and subject-specific practice sessions with selectable generated and curated question sources. Timed mock exams with answer navigation, marked-for-review states, local draft recovery, scoring, detailed review, and study-plan guidance. Authenticated learner results and progress analytics using NextAuth and Sanity. A scalable question-bank design that keeps large learner-facing generated banks out of Sanity while retaining curated and administrative data there. Bank, quality, deployment, academic-review, and launch-readiness audit scripts. A reviewer-led evidence workflow with stable sample IDs, review packets, CSV draft conversion, approval/rejection records, and explicit readiness gates.
The platform's quality workflow is implemented, but generated questions must not be marketed as academically reviewed until a real reviewer ledger is completed. The case study may state that Yumesh's sister used the initial Class 9 version and did well; it must not convert that into an unverified performance metric.