Aaron D. Lee f33b82cc83 feat(F1): integrate Web Push notifications into event processor ...

Import send_alert into processor.py, store engine as self._engine after
init_db(), extend _execute_action() to accept event_type/severity/source_id
and call send_alert for alert_all and push_and_record actions, and pass
those params from _handle_event().

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-04-03 18:01:11 -04:00

config

Initial commit: Vigilar DIY home security system

2026-04-02 23:11:27 -04:00

docs

Add visitor recognition design spec (S3)

2026-04-03 15:32:12 -04:00

kiosk

Add kiosk setup and deployment scripts (Phases 5 + 9)

2026-04-02 23:25:03 -04:00

remote

Initial commit: Vigilar DIY home security system

2026-04-02 23:11:27 -04:00

scripts

Add presence detection, person/vehicle AI detection, health monitoring

2026-04-03 00:06:45 -04:00

systemd

Add kiosk setup and deployment scripts (Phases 5 + 9)

2026-04-02 23:25:03 -04:00

tests

feat(F1): integrate Web Push notifications into event processor

2026-04-03 18:01:11 -04:00

vigilar

feat(F1): integrate Web Push notifications into event processor

2026-04-03 18:01:11 -04:00

.gitignore

Add .worktrees/ and .superpowers/ to .gitignore

2026-04-03 13:02:10 -04:00

.python-version

Fix lint issues in pet detection integration

2026-04-03 13:32:17 -04:00

CLAUDE.md

Initial commit: Vigilar DIY home security system

2026-04-02 23:11:27 -04:00

pyproject.toml

Add ultralytics and torchvision dependencies for pet detection

2026-04-03 13:23:23 -04:00

requirements-dev.txt

Initial commit: Vigilar DIY home security system

2026-04-02 23:11:27 -04:00

requirements.txt

Initial commit: Vigilar DIY home security system

2026-04-02 23:11:27 -04:00

Description

Local AI-model assisted home security and surveillance system for those that don't trust that data to the cloud.

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