# Aethera SIH product dossier

## Working challenge

Coastal teams often inspect waves, weather, water chemistry, pollution and asset
readiness in separate systems. Aethera creates one explainable workspace in which
a team can explore a controlled scenario, see physical and environmental effects,
record the reasoning and export an auditable brief.

The official SIH problem-statement identifier is intentionally pending.

## Users

- coastal monitoring cells and local authorities
- researchers and environmental laboratories
- ports, fisheries and marine-response teams
- colleges conducting ocean, climate and AI experiments

## Current product

- interactive 3D ocean surface with orbit/touch controls
- configurable wave height, period, wind, current and water-quality inputs
- deterministic wave-energy, wavelength and power calculations
- transparent marine-stress heuristic with component-level explanation
- coastal asset/readiness view and fixed scenario presets
- JSON scenario import; JSON and printable HTML evidence export
- linked planetary Earth-system simulation
- mobile-responsive information and laboratory layouts

## Scientific core

For density `rho = 1025 kg/m3` and gravity `g = 9.81 m/s2`:

- Deep-water wavelength: `L = g T^2 / (2 pi)`
- Wave energy per square metre: `E = rho g Hs^2 / 8`
- Approximate deep-water power per metre of crest:
  `P = rho g^2 Hs^2 T / (64 pi)`

The environmental stress score is a disclosed engineering heuristic combining
temperature anomaly, dissolved-oxygen deficit, pH deviation, plastic load and
current/wave exposure. It is not a trained marine forecast model.

## Architecture

```text
Scenario presets / JSON / future sensor adapters
                        |
                validation contract
                        |
       deterministic physics + stress reasoning
                 /              \
       Three.js ocean       Evidence ledger
                 \              /
             Decision brief + export
```

## SIH development path

1. Confirm official problem statement and measurable beneficiary outcome.
2. Select a pilot coastline and authoritative bathymetry/weather/ocean sources.
3. Add geospatial ingestion, source timestamps and quality flags.
4. Calibrate against observed buoy data; publish error and uncertainty.
5. Train only the component that has adequate labelled evidence.
6. Add human approval, alert governance and offline field collection.
7. Complete security, accessibility, device and low-bandwidth testing.

## Demonstration boundary

The current release demonstrates engineering behaviour using controlled sample
inputs. It must not be used for navigation, evacuation, fishing advisories or
public-safety decisions.