NeuroRoute is an AI-powered adaptive learning platform that identifies exactly where a student is struggling and creates a personalized learning path for them.

Instead of giving every student the same study plan, NeuroRoute analyzes performance at the concept/micro-topic level and recommends what the student should learn next.

Problem: Many students study for hours but don't improve because:

They don't know their actual weak concepts Study plans are generic Weak fundamentals remain hidden They spend time studying topics they already understand.

The example in your presentation is Arjun, who keeps practicing the same topics while his real weakness is somewhere else.

How your solution works:

The system has four major technical components:

Concept-Level Analysis: Instead of looking only at total marks, NeuroRoute evaluates understanding across individual micro-topics. Adaptive Quiz Engine: Question difficulty and topics dynamically change according to the student's responses. Dependency-Based Learning: It identifies prerequisite gaps and creates a learning sequence. Smart Prerequisites: It maps relationships between concepts so students master fundamentals before moving to advanced topics.