Core: This document describes Aspiron’s foundational architecture and will not change.

Core Concepts

Aspiron is built on a set of interconnected concepts that work together to support effective learning.

Platform Architecture

┌─────────────────────────────────────────────────────────────────┐
│                        ASPIRON PLATFORM                          │
├─────────────────────────────────────────────────────────────────┤
│                                                                   │
│  ┌──────────────┐    ┌──────────────┐    ┌──────────────┐       │
│  │   CONTEXT    │    │    LEARNING  │    │  ASSESSMENT  │       │
│  │    LAYER     │───▶│   STRUCTURE  │───▶│    SYSTEM    │       │
│  └──────────────┘    └──────────────┘    └──────────────┘       │
│         │                   │                   │                 │
│         │                   │                   │                 │
│         ▼                   ▼                   ▼                 │
│  ┌─────────────────────────────────────────────────────────┐    │
│  │                    NOTES SYSTEM                         │    │
│  │   • Teacher Notes    • Student Notes    • External Refs │    │
│  └─────────────────────────────────────────────────────────┘    │
│         │                   │                   │                 │
│         │                   │                   │                 │
│         ▼                   ▼                   ▼                 │
│  ┌─────────────────────────────────────────────────────────┐    │
│  │                      AI FEATURES                        │    │
│  │   • Context-Aware Chat    • Recall Check    • Analysis  │    │
│  └─────────────────────────────────────────────────────────┘    │
│         │                   │                   │                 │
│         │                   │                   │                 │
│         ▼                   ▼                   ▼                 │
│  ┌──────────────┐    ┌──────────────┐    ┌──────────────┐       │
│  │   COMMUNITY  │    │    SAFETY    │    │   PROGRESS   │       │
│  │    FORUM     │    │   & INTEGRITY│    │   TRACKING   │       │
│  └──────────────┘    └──────────────┘    └──────────────┘       │
│                                                                   │
└─────────────────────────────────────────────────────────────────┘

How Concepts Connect

Context Layer (Foundation)

Everything starts with context. Students select:

  • Exam - PGT, JEE, or NEET
  • Subject - Their primary study subject
  • Target Year - When they’re taking the exam
  • Language - Content language preference

This context persists across the entire platform.

Learning Structure

Content is organized as:

  • Subjects → Chapters → Topics
  • Each piece linked to context
  • Progress tracked at each level

Assessment System

Students demonstrate learning through:

  • Practice Quizzes - Topic-level feedback
  • Tests - Chapter/section validation
  • Mock Exams - Full simulation

Notes System

Two note types, one unified system:

  1. Teacher Notes - Official, linked to content
  2. Student Notes - Personal, timestamped, shareable

Both can reference external content (videos, PDFs).

AI Features

AI operates within boundaries:

  • Context-Aware Chat - Knows where you are in content
  • Recall Check - Tests memory, not recognition
  • Analysis - Identifies gaps, suggests review

AI never operates during high-stakes assessments.

Community

Peer support without social noise:

  • Forum - Doubt resolution, organized by context
  • Community Bot - Guidance, not replacement
  • Notes Sharing - Optional, permission-based

Safety & Integrity

Non-negotiable principles:

  • AI disabled during exams
  • Copy/paste blocked during tests
  • Transparent about what’s being monitored
  • No punishments in MVP (trust-first)

Progress Tracking

Multiple views:

  • Student View - Personal progress, trends
  • Teacher View - Class progress (later phases)
  • AI Insights - Pattern recognition, suggestions

Data Flow

Learning Flow

Context Setup → Browse Syllabus → Watch Video → Take Notes → Practice Quiz → AI Insight

Assessment Flow

Take Quiz/Test → Immediate Feedback → Post-Test Analysis → AI Recommendations → Targeted Review

Revision Flow

AI Recall Check → Identify Gaps → Guided Review → Re-test Weak Areas → Updated Progress

Community Flow

Post Doubt → Community Bot Response → Peer Answers → Resolution → Knowledge Shared

Why This Architecture

Student Outcomes First

Every component exists to improve learning outcomes:

  • Context ensures relevant content
  • Structure provides clear paths
  • Assessment validates understanding
  • Notes capture and link knowledge
  • AI guides without replacing
  • Community offers peer support
  • Safety ensures integrity
  • Progress motivates through visibility

Modularity

Each component can evolve independently:

  • New assessment types without restructuring
  • Enhanced AI without changing structure
  • Expanded community features
  • Improved progress visualizations

Scalability

Architecture supports growth:

  • New exams can be added (context layer)
  • New content types (learning structure)
  • New assessment formats (assessment system)
  • New AI features (within boundaries)

Key Principles

  1. Context is foundational - Everything starts here
  2. Retention over completion - Not watched, but learned
  3. Active recall over passive review - Produce, don’t recognize
  4. AI assists, never replaces - Human learning is the goal
  5. Community supports, doesn’t distract - Focused peer help
  6. Safety is non-negotiable - Integrity always

Next Steps

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