Overview

This module enables users to navigate and select SAT preparation topics based on a well-defined hierarchical structure. It supports dynamic content generation using AI, tailored to the selected topic, and is designed to help students prepare for the SAT with personalised, targeted study material.

🏗️ Feature Structure

1. Hierarchical Topic Tree

The SAT syllabus is modelled in a structured hierarchy with the following levels:

• Section (e.g., Reading and Writing, Math, Optional Essay)

o Domain (e.g., Craft and Structure, Algebra)

▪ Subtopic (e.g., Words in Context, Linear Equations)

▪ Subdivision (e.g., Vocabulary in prose and poetry)

This allows for granular topic targeting, so students can focus precisely on the areas where they need the

most help.

Example:

Section: Math

└── Domain: Algebra

└── Subtopic: Linear Equations and Inequalities

└── Subdivision: Solving single-variable equations

🤖 AI-Powered Content Generation

📥 Input Parameters

The system accepts user selections at any level (topic, subtopic, or subdivision), and uses that input to dynamically generate instructional content.

📜   

🎯 Key Benefits

1. Personalised Prep: Learners can focus on micro-topics, helping them improve in specific areas.
2. Efficient Navigation: The hierarchy allows users to drill down to exact content without feeling overwhelmed.
3.  Expert-Like Guidance: AI responses simulate one-on-one SAT tutoring with clear explanations, examples, and test strategies.
4. Scalable: Easily extendable for new topics or other exams (e.g., GRE, GMAT).

🛠️ Use Case Flow

1. User Journey:

o Student selects a Section (e.g., Math)

o Picks a Domain (e.g., Advanced Math)

o Chooses a Subtopic (e.g., Exponential Functions)

o Optionally picks a Subdivision (e.g., Growth and decay models)

o Receives a full-length, AI-generated explanation tailored to the chosen topic.

2. Under the Hood:

o The system maps user input to the satData structure.

o Constructs the final prompt.

o Sends it to an LLM using a consistent system + user prompt structure.

o Displays the response in a student-friendly UI.

🔒 Extensibility & Maintenance

• Modular Structure: New sections, topics, or subdivisions can be added directly in the satData object.

• Prompt Logic Decoupled: Prompt template and SAT hierarchy are independent, allowing easy tweaks to tone, strategy, or format.

• Localisation Potential: The structure supports international versions of the SAT or translations

What’s Coming Next ?

🔍 Topic Selection with AI-Powered Explanations

Students can choose what to study through a structured topic hierarchy (Section → Domain → Subtopic

→ Subdivision).

Once a topic is selected, an AI tutor generates an intuitive explanation—including examples, common mistakes, strategies, and test-taking tips.

🤖 Interactive AI Practice

After reading a topic, students are taken to a practice page where an AI asks relevant questions to reinforce learning—turning passive reading into active learning.

💬 Ask-AI: Content-Based Doubt Clarification

An integrated AI chatbot is available throughout the learning experience. Students can ask questions about the topic they’re studying, and the AI responds with helpful, context-aware explanations.

📄 Previous Year Question Papers + AI Help

There’s a dedicated section where students can browse past SAT questions. Here too, the AI chatbot is available to explain or break down any question, just like a real tutor.