CBSE Class 11th AI (Artificial Intelligence) | 7. AI Project Cycle by Abraham | Learn Smarter
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7. AI Project Cycle

The AI Project Cycle is a structured methodology that guides the development of AI-based solutions through five key phases: Problem Scoping, Data Acquisition, Data Exploration, Modelling, and Evaluation. This cycle not only facilitates the systematic handling of tasks but also emphasizes collaboration and ethical considerations in AI application. Mastering these phases enables effective problem-solving in real-world contexts.

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Sections

  • 7

    Ai Project Cycle

    The AI Project Cycle is a structured methodology to develop AI-based solutions effectively from problem identification to deployment.

    Learning Practice

  • 7.1

    What Is The Ai Project Cycle?

    The AI Project Cycle is a structured 5-stage process that guides the development of AI-based solutions.

    Learning Practice

  • 7.2

    Phases Of Ai Project Cycle

    The AI Project Cycle consists of five essential phases that guide the development of AI solutions.

    Learning Practice

  • 7.2.1

    Problem Scoping

    Problem Scoping is the initial and critical step in the AI Project Cycle, focusing on defining and understanding the problem to be solved.

    Learning Practice

  • 7.2.2

    Data Acquisition

    Data Acquisition involves gathering relevant and quality data critical to addressing the identified problem in AI projects.

    Learning Practice

  • 7.2.3

    Data Exploration

    Data Exploration involves cleaning, analyzing, and visualizing data to extract actionable insights.

    Learning Practice

  • 7.2.4

    Modelling

    In the Modelling phase of the AI Project Cycle, AI models are created and trained using the previously explored data.

    Learning Practice

  • 7.2.5

    Evaluation

    The Evaluation stage is crucial for assessing the performance of AI models, ensuring they meet the initial problem scope and success criteria.

    Learning Practice

  • 7.3

    Importance Of Ai Project Cycle

    Understanding the AI Project Cycle is essential for structured development of AI solutions, promoting teamwork and ethical applications.

    Learning Practice

  • 7.4

    Case Study Example (Optional)

    This section provides a case study example illustrating the AI Project Cycle in action.

    Learning Practice

  • 7.4.1

    Project: Reducing Food Wastage In School Canteens

    This section outlines the AI project cycle applied to reduce food wastage in school canteens, detailing the five key stages.

    Learning Practice

  • 7.S

    Summary

    The AI Project Cycle is a structured process that guides the development of AI-based solutions through five key stages.

    Learning Practice

References

Chapter_7_AI.pdf

Class Notes

Memorization

What we have learnt

  • The AI Project Cycle consis...
  • Each phase is critical for ...
  • Understanding the user need...

Final Test

Revision Tests