| Week | Task | Status | Comments |
| 20-May | Study Work: State of art on the models, optimization and Evaluation | Look for optimization techniques, how they evaluate anonymization models. | |
| 27-May | Finalizing Dataset and Libraries to use -- suppression/rename/ .. etc. | Kubernetes logs/Metrics, Openstack logs/metrics .. any data that has PII information | |
| 3-June | Anonymization Impact on the Model's utility | ||
| 10-June | |||
| 17-June | Containeration and the APIs | ||
| 24-June | Automation using Python | ||
| 1-July | Testing of the containerized Architecture | ||
| 8-July | NLP Model for anonymizing Telco Data | ||
| 15-July | |||
| 22-July | |||
| 29-July | |||
| 5-Aug | Evaluation of the Model | ||
| 12-Aug | Integration of the developed model with the architecture | ||
| 19-Aug | Documentation and release of the code. | ||
| 26-Aug | [BUFFER] |
APIs:
1. Tell where the Raw-Data exists (file-path, url, etc.)
2. Start the anonymization process.
3. Tell where to put the anonymized data (file-path, url, etc.)
4. Receive notification once anonymization is complete (SUCCESS or ERROR) 1 and 4 can be just configuration.
