S.

No USN Nos Name of Student Category Criteria Total Marks

1 Problem Identification Clear understanding of the problem statement and
objectives.
Relevance and significance of the problem addressed.(5M)
Research and Literature Review Adequate background study and references to previous
Department of Artificial Intelligence and Machine Learning
work.
Mini Project Rubric - 5th Semester (40 Marks)
Use of appropriate datasets or examples for justification.
(5M)
Design and Methodology Logical and well-structured project design.
Explanation and application of algorithms/techniques.
Innovation and creativity in the approach.(10M)
Implementation Code quality, structure, and functionality.
Use of tools, frameworks, and technologies.
Execution of the project as per the design.(10M)
Results and Analysis Clarity and accuracy of results.
Critical analysis of outcomes.
Interpretation of results in relation to the objectives.(5M)
Presentation and Report Quality of the project report (format, details, references).
Presentation skills during viva or demonstration.
Clear articulation of ideas and solutions.(5M)
2 Problem Identification Clear understanding of the problem statement and
objectives.
Relevance and significance of the problem addressed.(5M)
Research and Literature Review Adequate background study and references to previous
work.
Use of appropriate datasets or examples for justification.
(5M)
Design and Methodology Logical and well-structured project design.
Explanation and application of algorithms/techniques.
Innovation and creativity in the approach.(10M)
Implementation Code quality, structure, and functionality.
Use of tools, frameworks, and technologies.
Execution of the project as per the design.(10M)
Results and Analysis Clarity and accuracy of results.
Critical analysis of outcomes.
Interpretation of results in relation to the objectives.(5M)
Presentation and Report Quality of the project report (format, details, references).
Presentation skills during viva or demonstration.
Clear articulation of ideas and solutions.(5M)
3 Problem Identification Clear understanding of the problem statement and
objectives.
Relevance and significance of the problem addressed.(5M)
Research and Literature Review Adequate background study and references to previous
work.
Use of appropriate datasets or examples for justification.
(5M)
Design and Methodology Logical and well-structured project design.
Explanation and application of algorithms/techniques.
Innovation and creativity in the approach.(10M)
Implementation Code quality, structure, and functionality.
Use of tools, frameworks, and technologies.
Execution of the project as per the design.(10M)
Results and Analysis Clarity and accuracy of results.
Critical analysis of outcomes.
Interpretation of results in relation to the objectives.(5M)
Presentation and Report Quality of the project report (format, details, references).
Presentation skills during viva or demonstration.
Clear articulation of ideas and solutions.(5M)
4 Problem Identification Clear understanding of the problem statement and
objectives.
Relevance and significance of the problem addressed.(5M)
Research and Literature Review Adequate background study and references to previous
work.
Use of appropriate datasets or examples for justification.