AI project cycle

Problem scoping, data acquisition, exploration, modelling and evaluation

Class 10 · Guided experience

VISUAL CONCEPT MAP · CLEAN

AI project cycle

See how profiling and careful cleaning turn inconsistent records into usable evidence.

Input / evidence Processing Output / insight

Mission briefing

Arrange the stages of a typical AI project cycle.

Explore the concept, change an input, observe the result and explain what it means.

◈ MODEL PERFORMANCE CONSOLE LIVE METRICS

ACCURACY90%

PRECISION88%

RECALL92%

CONFUSION MATRIX · SELECT A CELL

PRED +

PRED −

ACTUAL +

ACTUAL −

Select a cell to understand the outcome.

✎ Observation log

Record what you observed, what changed and one limitation.

CBSEMOCK AI & ML Virtual Labs · Educational conceptual model. Outputs are illustrative, not evidence of a validated or trained production AI system. Confirm class-wise syllabus alignment before assessment.

Teacher review · Practical rubric

Suggested assessment framework. Teacher may adjust marks to suit the class and task.

Concept understanding · /2Experiment and method · /3Analysis and interpretation · /3Conclusion and reflection · /2

Teacher rubric score: 4 / 10

Complete record includes student details, practical notes, experiment title, date and teacher rubric. Existing lab-specific notebook and activities are retained.