The BAIO curriculum follows a carefully designed progression where each
grade builds upon the previous year's knowledge, helping students gradually master Computational
Thinking, Artificial Intelligence and Future Technologies.
Curriculum Overview
Complete BAIO curriculum introduction.
Exam Structure
Pattern, marks, duration and sections.
Grade 3
AI Awareness, Logical Thinking.
Grade 4
Computational Thinking & AI Basics.
Grade 5
Machine Learning & Responsible AI.
Grade 6
AI Systems & Real-world Applications.
Grade 7
Generative AI & Advanced Reasoning.
Grade 8
Advanced AI & Future Technologies.
BAIO Curriculum Overview
Bharat AI Olympiad (BAIO) Curriculum Syllabus Version 2.0 has been
designed to provide a structured, future-ready learning pathway for
students from Classes 3 to 8. The curriculum aligns with the
Computational Thinking and Artificial Intelligence (CTAI) Framework
2026–27, National Education Policy (NEP) 2020 and NCF-SE 2023 while
extending learning through advanced Artificial Intelligence concepts,
Computational Thinking, logical reasoning and real-world applications.
The syllabus progressively develops AI literacy, problem-solving,
analytical thinking, creativity, ethical awareness and digital
responsibility. Students explore computational thinking, artificial
intelligence, machine learning, robotics, automation, responsible AI,
data literacy and emerging technologies using age-appropriate learning experiences.
Official BAIO Curriculum Version 2.0
95%+ Alignment with CTAI Framework 2026–27
Built according to NEP 2020 & NCF-SE 2023
Classes 3 to 8 structured progression
Preparatory Stage (Classes 3–5): 50 Hours per Year
Middle Stage (Classes 6–8): 100 Hours per Year
Focus on Computational Thinking & AI Literacy
Real-world AI Applications and Responsible AI
Project-based and Higher Order Thinking Skills (HOTS)
Industry-relevant AI awareness for future careers
AI Olympiad
Two Rounds. One Real Skill Tested.
A two-stage journey from AI literacy to real-world problem solving.
01TOP 20% ADVANCE →02
Olympiad Round
Round 1
Open now
Format
Online, MCQ-based
What It Tests
AI Literacy & Computational Thinking
Who Can Participate
Registration is open to all students studying in Grades
3–12.
Olympiad Round
Round 2
Format
Supervised, hands-on AI Challenge
What It Tests
Real-world problem-solving using a safe AI assistant
Who Can Participate
Top 20% of Round 1
Round 1 Online AI Literacy Test
Grade band
Preparatory Stage
Grades 3-5
60 min
35MCQs
40Marks
A
Computational thinking10 questions | 10 marks
B
AI and technology concepts10 questions | 10
marks
C
Everyday AI and digital world10 questions | 10
marks
D
Elite Thinker5 questions | 10 marks
Grade band
Middle Stage
Grades 6-8
60 min
45MCQs
50Marks
A
Computational thinking15 questions | 15 marks
B
AI and technology concepts15 questions | 15
marks
C
Everyday AI and digital world10 questions | 10
marks
D
Elite Thinker5 questions | 10 marks
Grade band
Secondary Stage
Grades 9-12
60 min
50MCQs
60Marks
A
Computational thinking15 questions | 15 marks
B
AI and technology concepts15 questions | 15
marks
C
Everyday AI and digital world10 questions | 10
marks
D
Elite Thinker10 questions | 20 marks
What students will learn
A structured, future-ready AI and STEM learning journey.
AI fundamentals, Generative AI, machine learning, data science, NLP,
computer vision, AI tools & applications
C — Everyday AI & Digital World
10Q × 1M = 10M
10Q × 1M = 10M
10Q × 1M = 10M
AI in everyday life, robotics, digital citizenship, AI ethics,
cybersecurity, data privacy & responsible technology
D — Innovation & HOTS
5Q × 2M = 10M
5Q × 2M = 10M
10Q × 2M = 20M
Critical thinking, AI systems, real-world case studies, innovation, ethical
decision-making & advanced problem solving
Total Questions
35 MCQs
45 MCQs
50 MCQs
Total Marks
40 Marks
50 Marks
60 Marks
Duration
60 Minutes
60 Minutes
60 Minutes
BAIO Examination Structure
The Bharat AI Olympiad (BAIO) examination has been carefully designed to
evaluate students' Computational Thinking, Artificial Intelligence
understanding, logical reasoning, digital awareness and higher-order
problem-solving abilities. The examination follows a progressive
curriculum that becomes more advanced with each grade while remaining
aligned with the CTAI Framework 2026–27, NEP 2020 and NCF-SE 2023.
Students are assessed across four major competency areas that together
measure conceptual understanding, practical awareness and analytical
thinking rather than rote memorization.
Assessment Framework
Section A : Computational Thinking & Logical Reasoning
Section B : Artificial Intelligence & Technology Concepts
Section C : Everyday AI Around Us
Section D : Elite Thinker (Higher Order Thinking Skills)
Artificial Intelligence & Technology
AI Foundations, Human vs Machine Intelligence, Machine Learning,
Data Types, Computer Vision, Natural Language Processing,
Automation, Robotics and Emerging Technologies.
Everyday AI Around Us
AI Applications, Smart Devices, Healthcare, Banking,
Agriculture, Education, Transportation, Digital Citizenship,
Internet Safety, Privacy and Responsible AI.
Elite Thinker (HOTS)
Advanced Computational Thinking, System Decomposition,
Optimization, Critical Thinking, Ethical Decision Making,
Innovation Challenges and Real-world AI Scenarios.
Learning Outcomes
Develop strong logical and analytical thinking skills.
Understand how Artificial Intelligence works.
Recognize AI applications used in everyday life.
Build awareness of Machine Learning and emerging technologies.
Strengthen computational thinking and structured problem solving.
Practice ethical, safe and responsible use of AI technologies.
Prepare students for future AI-driven careers and innovation.
Official syllabus framework
Grade 3 Curriculum
Grade 3 introduces students to computational thinking and Artificial Intelligence
through engaging logical activities, visual reasoning, everyday AI examples, and
responsible technology use.
Abstract thinking, 3D viewpoints, shape transformations
(flips, folds, rotations), hidden shapes, number and visual patterns,
letter patterns, decomposition of numbers and objects, tables and
charts, sequencing, grid navigation, logical arrangements, algorithmic
reasoning
B
B
10 Mark
AI & Technology Concepts
10 questions · 1 mark each
Foundations of AI, human vs machine intelligence, AI vs
ordinary machines, machine learning concepts, supervised learning,
clustering, reinforcement learning, data types (text, images, audio,
numbers), AI learning process
C
C
10 Mark
Everyday AI Around Us
10 questions · 1 mark each
AI in daily life, AI-powered devices and applications, AI in
India (Bhashini, DigiYatra), smart devices and robotics, drones, pattern
recognition and decision-making, AI ethics, responsible AI use, digital
safety, digital footprints
D
D
10 Marks
Elite Thinker
5 questions · 2 marks each
Advanced computational thinking, system decomposition,
algorithmic pathfinding, spatial reasoning and 3D modeling, integrated
AI systems, Sense–Think–Act cycle, robotics applications, AI ethics,
privacy, social responsibility, critical analysis and problem-solving
Official syllabus framework
Grade 4 Curriculum
Grade 4 introduces students to computational thinking and Artificial Intelligence
through engaging logical activities, visual reasoning, everyday AI examples, and
responsible technology use.
Abstract thinking, 3D viewpoints, shape transformations (flips,
folds, rotations), hidden and missing shapes, mirror images and symmetry,
number patterns, shape and letter patterns, mixed patterns, decomposition of
numbers and 3D objects, tables and charts, sorting conditions, sequencing,
grid navigation, logical arrangements, algorithmic reasoning
B
B
10 Marks
AI & Technology Concepts
10 questions · 1 mark each
Foundations of AI, AI-enabled devices, human vs machine
intelligence, computer decision-making, conditions and algorithms, sensors
and data collection, computer vision, face and human detection, face
tracking, expression recognition, automation, smart devices,
voice-controlled systems
C
C
10 Marks
Everyday AI Around Us
10 questions · 1 mark each
AI in healthcare, banking, entertainment and agriculture,
smartphones and voice assistants, translation tools, smart transportation
and communication, chatbots and language technologies, adaptive learning
systems, digital citizenship, online safety, digital footprints, AI ethics,
bias awareness, responsible AI use, AI for good and societal impact
D
D
10 Marks
Elite Thinker
5 questions · 2 marks each
Higher-order problem solving, system decomposition, algorithmic
pathfinding, advanced logical reasoning, multi-step decision making, 3D
spatial visualization and modeling, integrated AI systems, Sense–Think–Act
cycle, robotics and automation, AI ethics, privacy, bias, digital
responsibility, critical analysis and real-world problem solving
Official syllabus framework
Grade 5 Curriculum
Grade 5 introduces students to computational thinking and Artificial Intelligence
through engaging logical activities, visual reasoning, everyday AI examples, and
responsible technology use.
Abstract thinking, spatial visualization, 3D viewpoints and
cross-sections, compound transformations (flips, folds, rotations), hidden
cues and information filtering, mirror and water images, symmetry,
multi-attribute patterns, complex numerical sequences, cross-representation
patterns, decomposition of numbers and 3D structures, tables, grids and
charts, constraint management, pathfinding, conditional logic, search and
optimization, troubleshooting algorithms, sequencing and logical
arrangements
B
B
10 Marks
AI & Technology Concepts
10 questions · 1 mark each
Foundations of AI, AI-enabled systems and applications,
relationship between CT and AI, human vs machine intelligence, data and
pattern recognition, data types (text, images, audio, numbers), AI
decision-making, algorithms and intelligent systems, machine learning
basics, training data, prediction and classification, emerging technologies
including AI, Machine Learning and Data Science
C
C
10 Marks
Everyday AI Around Us
10 questions · 1 mark each
AI in smartphones, voice assistants, search engines, cameras and
entertainment platforms, recommendation systems, AI in healthcare, banking,
agriculture, education and transportation, adaptive learning systems, AI for
environmental sustainability and public services, digital citizenship,
online safety, privacy protection, digital footprints, AI ethics, fairness,
accountability, responsible AI use and societal impact
D
D
10 Marks
Elite Thinker
5 questions · 2 marks each
Higher-order problem solving, advanced decomposition and data
analysis, complex tables and logical deductions, algorithm design and
optimization, pathfinding and conditional reasoning, abstract thinking,
spatial visualization and pattern analysis, AI learning and decision-making,
machine learning applications, prediction and classification, AI ethics,
bias, privacy, accountability, responsible AI use, critical analysis and
real-world problem solving
Official syllabus framework
Grade 6 Curriculum
Grade 6 introduces students to computational thinking and Artificial Intelligence
through engaging logical activities, visual reasoning, everyday AI examples, and
responsible technology use.
Algorithmic Thinking (following multi-layered rules), Pattern
Recognition (mixed number/shape sequences), Decomposition (breaking down 3D
shape and numerical clues), and Spatial Reasoning (symmetry, viewpoints, and
rotations).
B
B
15 Marks
AI & Technology Concepts
15 questions · 1 mark each
Foundations of AI (Turing Test, AI Winter), Human vs. Machine
Intelligence, AI vs. Automation, Machine Learning (Supervised, Unsupervised,
Reinforcement), and Data Types (Numerical, Text, Image, Video, Sound).
C
C
10 Marks
Everyday AI Around Us
10 questions · 1 mark each
Real-world Applications (Maps, smart home devices, smartphones,
banking, healthcare), Daily Pattern Recognition (routines and nature), and
Internet Safety (securing passwords, identifying active/passive digital
footprints).
D
D
10 Marks
Elite Thinkers Section
5 questions · 2 marks each
Advanced Reasoning (complex logic puzzles from "The Thinking
Spot"), Digital Responsibility (ethics regarding plagiarism, hacking,
piracy, and intellectual property), and Innovation Challenges.
Official syllabus framework
Grade 7 Curriculum
Grade 7 introduces students to computational thinking and Artificial Intelligence
through engaging logical activities, visual reasoning, everyday AI examples, and
responsible technology use.
Computational Thinking Foundations: Identifying patterns in
large numbers and decimal series. Logical Deduction: Solving problems with
multi-layered constraints, interchanging arithmetic operators, and using
letter-numbers for equations. Spatial Reasoning: Visualizing 3D object
transformations, parallel/intersecting lines, and symmetry. Fractional
Analysis: Multi-step reasoning involving remainders and proportions.
B
B
15 Marks
AI & Technology Concepts
15 questions · 1 mark each
AI Domains: Distinguishing between Data Science (patterns),
Computer Vision (visuals), and NLP (language). Predictive Techniques:
Understanding Regression, Classification, and Clustering. Data Literacy:
Differentiating structured vs. unstructured data and dataset lifecycle
(Training, Validation, Test). Visualization: Interpreting trends in bar
charts, line graphs, and pie charts.
C
C
10 Marks
Everyday AI Around Us
10 questions · 1 mark each
Practical Applications: AI’s role in Healthcare (robotic
surgery), Transport (traffic flow), Education (personalized learning), and
Communication. AI Ethics & Bias: Identifying Data, Historical, Algorithmic,
and Human biases in real-world scenarios. Digital Citizenship: Rights to
privacy/safety and responsibilities like protecting personal info and
maintaining a positive digital footprint.
D
D
10 Marks
Elite Thinkers Section
5 questions · 2 marks each
Higher-Order Thinking (HOTS): Complex puzzles derived from "The
Thinking Spot" sections requiring simultaneous constraint satisfaction.
Advanced Algorithmic Logic: Solving puzzles through binary-style filtering
(logic punch cards) and pathfinding with multiple decision points.
Optimization: Problems involving finding the minimum or maximum steps/items
to satisfy a rule.
Official syllabus framework
Grade 8 Curriculum
Grade 8 introduces students to computational thinking and Artificial Intelligence
through engaging logical activities, visual reasoning, everyday AI examples, and
responsible technology use.
Abstract Thinking: Properties of squares, cubes, and exponents.
Generalization across number systems (Decimal, Binary, Ternary, Roman,
Chinese Numerals). Spatial Reasoning: Visualizing 3D transformations, flips,
and rotations. Properties of quadrilaterals (Trapeziums, Parallelograms,
Rhombuses, Kites). Pattern Recognition: Identifying simultaneous changes in
numbers and shapes.
B
B
15 Marks
AI & Technology Concepts
15 questions · 1 mark each
Foundations: Definitions of AI, difference between automation
and AI, and human vs. machine intelligence. Methodologies: Understanding
supervised, unsupervised, and reinforcement learning. Project Lifecycle: The
six stages: Define Problem, Data Collection, Model Training, Evaluation,
Deployment, and Maintenance. Domains: Basics of Data Science, Computer
Vision, and Natural Language Processing (NLP). Ethics: Key concepts of data
bias, fairness, transparency, and accountability.
C
C
10 Marks
Everyday AI Around Us
10 questions · 1 mark each
Practical Applications: Healthcare: Medical image analysis
(X-ray TB screening), predictive health risk flagging. Environment:
Satellite analysis for plastic pollution, AI-based waste sorting
(Pune/Indore models), and wildlife tracking (Trail Guard AI). Automation:
Smart traffic signals, smart home appliances (voice/usage patterns), and
security alerts. Agriculture: Soil analysis platforms (Bharat Vistaar) and
pest detection through crop photos (e-NAM).
D
D
10 Marks
Elite Thinkers Section
5 questions · 2 marks each
High-Order Problem Solving: Based on "The Thinking Spot"
activities. Solving multi-variable grid puzzles with strict constraints.
Optimization: Designing procedures for maximum/minimum outcomes under
specific rules (e.g., bag capacity/coin distribution). Algorithmic Analysis:
Determining correct sequences for logic machines and passwords. Critical
Ethical Reflection: Case-based analysis of misinformation, digital
footprints, and algorithmic bias.
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BAIO CURRICULUM FRAMEWORK.
Building Future-Ready AI Thinkers
The Bharat AI Olympiad (BAIO) Curriculum Version 2.0 has been designed to develop Computational
Thinking, Artificial Intelligence literacy and future-ready skills through a progressive
learning pathway aligned with CTAI Framework 2026–27, NEP 2020 and NCF-SE 2023.
Preparatory Stage
Classes 3–5
50 Hours Curriculum
AI Awareness
Computational Thinking
Logical Reasoning
Pattern Recognition
Digital Citizenship
Responsible AI
Middle Stage
Classes 6–8
100 Hours Curriculum
Machine Learning
Data Literacy
AI Applications
Robotics
Emerging Technologies
Innovation Projects
Future Skills
21st Century Competencies
Critical Thinking
Creativity
Communication
Collaboration
Problem Solving
Ethical AI
Innovation Mindset
ASSESSMENT FRAMEWORK
How Students Are Evaluated
BAIO evaluates students through a competency-based assessment
model that measures conceptual understanding, computational
thinking, logical reasoning and Artificial Intelligence
literacy instead of rote memorization.
Core Assessment Areas
Computational Thinking
Logical Reasoning
Artificial Intelligence Concepts
Machine Learning Awareness
Data Interpretation
AI Applications
Ethical AI
Higher Order Thinking Skills (HOTS)
Performance Evaluation
Conceptual Understanding
Analytical Thinking
Problem Solving Ability
Decision Making
Pattern Recognition
Innovation Skills
Digital Awareness
Future Readiness
STUDENT LEARNING OUTCOMES
What Students Will Achieve
Every stage of the BAIO curriculum is designed to progressively strengthen students'
computational, analytical and Artificial Intelligence capabilities.