🚧 Project Direction: Moving from AWS-dependent to Local-first Problem

[MUBENDIRAN]

Currently, Cloud Insight AI depends on AWS services (S3, ECS, Comprehend), which are no longer active due to free tier limits.

This makes the project:

Not runnable for contributors
Hard to test locally
Less practical for real collaboration
Proposed Direction

Shift to a local-first architecture:

Replace:
S3 → Local JSON / SQLite storage
ECS → Local Docker execution
Comprehend → Optional NLP (local or pluggable)
Goal

Anyone should be able to:

git clone ...
docker run ...

and see the system working instantly.

Open Questions
Should we use SQLite or keep JSON-based storage?
Should NLP be optional or removed entirely?
Do we keep AWS as an optional plugin?
Call for Contributors

Looking for help with:

Refactoring storage layer
Removing AWS dependencies
Improving local execution