CodeComClassify

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  CodeComClassify

CodComClassify is an AI powered system that automatically classifies source code comments into categories such as TODOs, bugs, documentation, explanations, and deprecated notes.

Inspiration

Developers often struggle with messy and unorganized comments in large codebases. Important notes get ignored, TODOs remain unresolved, and maintenance becomes difficult. We wanted to build a smart system that helps developers organize and understand comments more efficiently.

What it does

CodComClassify analyzes code comments using Natural Language Processing and Machine Learning techniques, then automatically categorizes them into meaningful groups. This improves code readability, maintenance, and developer productivity.

How we built it

We built the project using Python and Machine Learning libraries for text processing and classification. The workflow includes data preprocessing, feature extraction, model training, and prediction generation.

Challenges we ran into

The biggest challenge was handling inconsistent and noisy developer comments. Many comments had mixed context, abbreviations, or unclear intent, which affected classification accuracy.

What we learned

We gained practical experience in NLP, text classification, data preprocessing, and training ML models for real world software engineering problems.

Future plans

We plan to integrate CodComClassify into IDEs and developer tools so comments can be classified in real time during development.

For “Built with” you can add:

Python, Scikit learn, NLP, Machine Learning, Pandas, NumPy, Flask, GitHub

Built With

• jupiter
• numpy
• python
• react