Repository Structure¶
Organized for Research, Reproducibility, and Deployment¶
The repository is structured to clearly separate methodology, experiments, documentation, and deployment components.
This separation improves clarity for reviewers, supports reproducibility, and allows scalable project extension.
High-Level Architecture¶
- Research Layer
Methodology, modeling, evaluation, and results documentation.
- Documentation Layer
Ethical analysis, future directions, and structured project reporting.
- Deployment Layer
Application usage, installation, and optional API interface.
Directory Overview¶
| Path | Purpose |
|---|---|
docs/index.md |
Landing page |
docs/introduction.md |
Background and research motivation |
docs/objectives.md |
Research objectives |
docs/dataset.md |
Dataset structure and access |
docs/ethics.md |
Ethical framework and safeguards |
docs/datasets/ |
Synthetic dataset files |
docs/methodology/data.md |
Data generation and preprocessing |
docs/methodology/models.md |
Embedding model and SVM classifiers |
docs/methodology/evaluation.md |
Experimental setup and metrics |
docs/results/findings.md |
Quantitative results |
docs/results/error-analysis.md |
Error patterns and interpretation |
docs/results/limitations.md |
Technical and experimental limitations |
docs/deployment/app.md |
Prototype application usage |
docs/deployment/api.md |
API interface documentation |
docs/deployment/install.md |
Installation instructions |
docs/paper/paper.md |
IEEE-style research paper |
docs/paper/slides.md |
Presentation materials |
docs/paper/artifacts.md |
Supporting research artifacts |
docs/documentation/future-work.md |
Extended research roadmap |
docs/documentation/repo-structure.md |
Repository organization reference |
docs/documentation/requirements.md |
Software and hardware requirements |
Structural Principles¶
- Modular Separation
Methodology, results, and deployment are isolated to prevent cross-dependency clutter.
- Reproducibility Focus
Experimental steps are documented in sequence to enable replication.
- Reviewer-Friendly Navigation
Academic content is separated from implementation details for clarity.
- Scalability
Additional datasets, models, or deployment layers can be added without restructuring the project.
Alignment with Research Workflow¶
The repository mirrors the lifecycle of the project:
- Problem formulation
- Dataset construction
- Model development
- Evaluation and validation
- Alert framework design
- Ethical analysis
- Deployment demonstration
This structured organization supports both academic review and future system expansion.