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CBSE Sample Papers with Blueprint & Solutions Class 10 Artificial Intelligence Set 1 (2026–27)

CBSE Sample Papers with Blueprint & Solutions Class 10 Artificial Intelligence Set 1 (2026–27)

Original price was: ₹ 50.00.Current price is: ₹ 29.00.

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Kickstart your board exam preparation with Set 1 of the CBSE Class 10 Artificial Intelligence Sample Paper series by Artham Resources. Fully aligned with the latest CBSE skill-education curriculum, official assessment pattern, and rationalized syllabus for the 2026–27 academic session, this set provides a structured pathway to master both Employability Skills and Subject-Specific Skills.

CBSE Class 10 Artificial Intelligence Sample Paper with Blueprint & Solutions (2026–27)

Subject Code: 417 | Set 1 | Complete Board Exam Package

Consolidate core AI project cycle frameworks, machine learning model evaluations, foundational Python programming syntax, and ethical AI deployment for the CBSE Class 10 Artificial Intelligence Board Examination (2026–27) with this full-length model question paper package. Formatted strictly in accordance with CBSE Subject Code 417 and the latest competency-based assessment guidelines, Set 1 targets proficiency in calculating confusion matrices, distinguishing computer vision from natural language processing pipelines, solving Python data structure problems, and applying sustainable development goals (SDGs) to AI problem scoping.

Key Product Highlights

  • Full-Length Model Paper (Set 1): Conforms strictly to the official 2-part, 6-section layout (Part A: Employability Skills and Part B: Subject Specific Skills) comprising Objective Type Questions and Short/Long Descriptive Answers for Class 10 Artificial Intelligence.

  • 100% Stepwise Marking Scheme Solutions: Explicit point-by-point solutions providing exact mathematical evaluation formulas (Accuracy, Precision, Recall, F1 Score), step-by-step Python code outputs, and structured conceptual rubrics.

  • 50%+ Competency & Inference Focus: Emphasizes scenario-based AI project cycle applications, real-world ethics case dilemmas, dataset bias evaluations, and live model performance troubleshooting.

  • Rationalized Syllabus Compliant: Strictly covers both prescribed divisions—Part A: Employability Skills (Communication, Self-Management, ICT, Entrepreneurial, and Green Skills) and Part B: Subject Specific Skills (Introduction to AI, AI Project Cycle, Advance Python, Data Science, Computer Vision, Natural Language Processing, and Model Evaluation).

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