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Betav3.1.2// Fintech / Privacy
Quant
Smart Finance Tracker
AI-driven financial analytics. Pattern recognition for spending habits, predictive budgeting, encrypted sync.
<50ms
INFERENCE_TIME
94%
PREDICTION_ACCURACY
0
CLOUD_UPLOADS
> cat ./overview.md
Quant proves that powerful analytics do not require sacrificing privacy.
A 12M-parameter transformer runs entirely on-device, classifying transactions, projecting cash-flow and surfacing anomalies in under 50ms.
AES-256 at rest, end-to-end encrypted multi-device sync, zero telemetry.
> ls ./features
On-Device Inference
No data ever leaves your phone — not even pseudonymised.
Predictive Budget
Time-series forecasting calibrated to your spending profile.
Anomaly Alerts
Catches odd transactions before your bank does.
E2E Sync
Encrypted multi-device sync with zero-knowledge keys.
> cat ./stack.json
{
"name": "Quant",
"category": "Fintech / Privacy",
"stack": [
"Swift",
"Kotlin",
"CoreML",
"libsodium"
]
}