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Gen AI Bharat
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⚠️ Website is Under Active Development — Early Access Preview & Testing Environment•✦ Official Curriculum & Ebook Workbook Series Launching Q3 2026•⚡ Built for Bharat, From Bharat • Contact: admin@genaibharat.com•🚀 National NEP 2020 & ATL Aligned Multi-Agent AI Framework for Class 6–12•⚠️ Website is Under Active Development — Early Access Preview & Testing Environment•✦ Official Curriculum & Ebook Workbook Series Launching Q3 2026•⚡ Built for Bharat, From Bharat • Contact: admin@genaibharat.com•🚀 National NEP 2020 & ATL Aligned Multi-Agent AI Framework for Class 6–12•⚠️ Website is Under Active Development — Early Access Preview & Testing Environment•✦ Official Curriculum & Ebook Workbook Series Launching Q3 2026•⚡ Built for Bharat, From Bharat • Contact: admin@genaibharat.com•🚀 National NEP 2020 & ATL Aligned Multi-Agent AI Framework for Class 6–12•
National AI Pedagogical Framework

Gen AI Bharat Curriculum Blueprint

A comprehensive, grade-aligned technical progression providing Indian school students with verified competency across foundational to frontier Agentic AI systems.

Middle School (Class 6 - 8) • NEP 2020 & ATL Aligned

Agentic AI Pioneers

Introduces middle school students to computational thinking, structured goal formulation, tool attachment protocols, and directing AI agents to solve foundational scientific, geometric, and mathematical problems.

Module 1: Goal Framing & Constraints
Eliminating ambiguity through unambiguous context boundaries, objective decomposition, and structured output formatting.
Module 2: Deterministic Tool Grounding
Connecting external computational calculators and Python tools to ensure 100% mathematical accuracy and render SVG models.
Module 3: Interactive Project Studio
Architecting an interactive study companion capable of breaking down complex NCERT science textbook chapters into quiz workflows.
Secondary High School (Class 9 - 10) • CBSE & ICSE STEM

Mastering Agentic AI

Focuses on multi-agent collaboration frameworks (Planner, Solver, and Adversarial Critic), supervising frontier reasoning models (Gemini 2.5, o1/o3, Claude 3.7), and automating board exam physics and mathematics problem sets.

Module 1: Multi-Agent Architectures
Designing inter-agent handoff protocols, peer-verification loops, and automated error catching with structured JSON schemas.
Module 2: Reasoning Model Supervision
Leveraging test-time compute and step-by-step chain-of-thought verification to resolve complex analytical proofs without hallucination.
Module 3: Competitive STEM Lab
Deploying agentic workflows to calculate numerical kinematics, organic chemistry reaction pathways, and trigonometry proofs.
Senior Secondary & Pre-Engineering (Class 11 - 12)

Agentic AI Architecture

Advanced pre-engineering curriculum covering production Python AI SDKs (Google GenAI, LangGraph), vector memory (RAG), sandboxed code execution, and deploying self-healing multi-agent software fleets prior to university entrance.

Module 1: Production Python AI SDKs
Direct programmatic SDK integration with Google Gemini, Anthropic Claude, and OpenAI endpoints with structured function calling.
Module 2: Vector Memory & RAG Systems
Building dense vector semantic indexing and retrieval systems for 10-year JEE Advanced and NEET question archives.
Module 3: Self-Healing Agent Fleets
Deploying continuous integration agent loops that execute, stress-test, and auto-patch full-stack software modules.
Pre-Order Digital Workbooks (All Academic Tiers)