AI - Components of Al Project Framework — Syllabus
ICSE · Class 10 · Robotics & Artificial Intelligence
What AI - Components of Al Project Framework covers in ICSE Class 10 Robotics & Artificial Intelligence: 4 topics, for the 2026-27 session.
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Topics in AI - Components of Al Project Framework
1. Project Life Cycle and AI Project Cycle
- A project is a temporary endeavour undertaken to create a unique product, service or result.
- A project life cycle is the sequence of phases a project goes through from initiation to closure.
- In a predictive life cycle, specifics are defined at the start and scope changes are carefully addressed.
2. Problem Scoping and the 4Ws Problem Canvas
- Problem Scoping is the first step of an AI project cycle.
- It means identifying a problem and having a vision to solve it using AI.
- The goal of problem scoping is to narrow down a broad theme into a specific problem statement.
3. Data Acquisition and Data Sources
- Data Acquisition is the stage of collecting and compiling relevant data for the AI system.
- There are 2 key purposes of an AI/ML dataset: to train the model and to measure its accuracy once trained.
- Data can be collected by surveys and questionnaires, observations, interviews, online data, sensors and devices, and experiments.
4. Data Features, Data Types, and Quality
- Data can be represented using alphabets, digits, or special characters.
- Structured data has predefined data types and formats and is highly organised and easily analysed.
- Examples of structured data include names, dates, and addresses.
Key Concepts
Central concept: AI Project Framework
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