
Most students practice with generic question banks that don't adapt to what they actually struggle with. EduOrbit solves this by reading real textbook content and generating curriculum-aligned questions on demand. A student picks a class, subject, and chapter and instantly gets MCQ or written questions drawn from that exact chapter — in English or Bangla, with proper math/equation rendering. They take an exam (multiple choice, written, or even a photo of handwritten work), and the platform auto-grades it with an LLM and produces a per-topic breakdown of their weaknesses. The standout feature is the reinforcement-learning loop: every graded exam updates a per-chapter policy that learns which topics that chapter's students consistently fail. So even a brand-new student with zero history gets a well-targeted practice set from day one (solving the cold-start problem), and the system keeps improving as more exams are taken. Around this adaptive core, EduOrbit adds a full learning ecosystem: teacher-scheduled exams, student group exams, 1v1 "Battleground" competitions, school & platform analytics dashboards, public leaderboards, gamification (XP, levels, streaks, badges), a moderated community with peer doubt-solving, and a RAG-based study chatbot — all served from a single FastAPI backend.
12 Jul 2026