Core: This document describes the context layer, which is foundational to Aspiron’s architecture.

Context Layer

The context layer is Aspiron’s foundational architecture. It ensures every feature knows who you are and what you’re preparing for.

What Is Context?

Context is the set of parameters that define a student’s learning journey:

  • Exam Type - State PGT, JEE, or NEET
  • Subject - Primary study subject
  • Target Year - When the exam is scheduled
  • Language Preference - Content language for AI and materials

Why Context Matters

The Problem Without Context

In most learning platforms:

  • AI doesn’t know which exam you’re preparing for
  • Videos aren’t filtered by your subject
  • Quizzes don’t match your exam pattern
  • You constantly re-explain your situation

The Aspiron Solution

Context is foundational. Everything starts with it.

Context Initialization

Onboarding Flow

New students go through context setup:

  1. Select Exam

    • PGT (Post Graduate Teacher)
    • JEE (Joint Entrance Examination)
    • NEET (National Eligibility cum Entrance Test)

  2. Select Subject

    • Filtered by exam (different subjects available per exam)

  3. Set Target Year

    • Determines content relevance and urgency

  4. Choose Language

    • Content language for AI and materials

Context Persistence

Once set, context persists across:

  • Video recommendations
  • Quiz generation
  • AI chat interactions
  • Note organization
  • Forum threads
  • Progress tracking
  • Notification prioritization

Context in Action

Videos

Exam: JEE + Subject: Physics + Target: 2026
→ Shows: JEE Physics videos
→ Hides: NEET Physics, JEE Chemistry

Quizzes

Exam: NEET + Subject: Biology + Target: 2026
→ Generates: NEET-style MCQs
→ Timing: NEET exam duration
→ Pattern: NEET marking scheme

AI Chat

User asks: "Explain this concept"
AI knows: Exam=JEE, Subject=Physics, Target=2026
→ Explains in JEE context
→ Uses Physics terminology
→ Links to relevant JEE topics

Notes

Student creates note
→ Automatically tagged with: Exam, Subject, Topic
→ Organized by context
→ Shareable within same context

Forum

User posts doubt
→ Posted to: Exam → Subject → Topic
→ Viewable by: Same exam/subject students
→ Answered by: Peers with same context

Context and AI

How AI Uses Context

  • Recall Check - Asks about concepts relevant to your exam
  • Chat - Explains in your exam’s context
  • Recommendations - Suggests content you need for your exam
  • Analysis - Identifies gaps specific to your exam pattern

AI Boundaries

AI never:

  • Mixes content from wrong exams
  • Recommends irrelevant topics
  • Ignores your target year

Changing Context

Can Students Change Context?

Yes. Students can update:

  • Subject - If preparing multiple subjects
  • Target Year - If exam date changes
  • Language - If preference changes

Cannot Change

  • Exam Type - Once selected, locked for that account

Planned: Multi-exam support may come in future phases.

Context and Privacy

What Context Stores

  • Exam selection
  • Subject choice
  • Target year
  • Language preference

What Context Does NOT Store

  • Personal identifying information
  • Learning data (stored separately)
  • Progress data (stored separately)

Data Isolation

Context is separate from:

  • Progress Data - What’s been completed
  • Performance Data - Quiz scores, accuracy
  • Behavioral Data - Time spent, patterns

Context and Teachers

Teacher Context

Teachers see context when:

  • Viewing student progress
  • Creating content
  • Answering forum doubts

Teacher Content

Teachers create content within their context:

  • Videos tagged with exam/subject
  • Notes linked to specific syllabus
  • Quizzes matching exam pattern

Future Context Expansion

Planned Additions

  • Multiple Exams - Prepare for more than one exam
  • Custom Contexts - Institution-specific contexts
  • Dynamic Context - Context that evolves with progress

Core Principle

Context will always remain:

  • Foundational to architecture
  • Privacy-respecting
  • Learning-focused

Next Steps

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