Complete and Verify Python Requirements

[Sanjana-Siddani]

##Description
The current inference/requirements.txt does not include every package used by the ML pipeline. For example, model training and testing require packages such as scikit-learn and joblib.

Review the Python code, update the requirements file, and verify that the pipeline can be installed without additional undocumented commands.

Tasks

• Review imports in all Python files under inference/.
• Identify all required third-party packages.
• Add missing packages to inference/requirements.txt.
• Add appropriate package-version ranges.
• Create a new virtual environment.
• Add the .venv to the gitignore
• Install using only:
• python3 -m pip install -r inference/requirements.txt
• Run label validation, dataset preparation, training, and testing.
• Document the supported Python version.

Acceptance Criteria

• All required Python packages are listed.
• A clean installation completes successfully.
• No separate manual package installation is needed.
• validate_labels.py runs successfully.
• prepare_data.py runs successfully.
• train_model.py runs successfully.
• test_model.py runs successfully.
• The supported Python version is documented.