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KevinKay-art/SALAMA-KENYA

Domaine:

peace and securitydigital infrastructure

Type de record:

tools
Créateur:
Kev
Hôte:
# Usalama Kenya (Salama Kenya) • National GBV Support & Safety Platform **Usalama Kenya** is a high-security, low-data, and offline-resilient web platform designed to provide Gender-Based Violence (GBV) survivors, advocates, and responders in Kenya with immediate, anonymous access to emergency hotlines, verified safe shelters, legal aid, and confidential incident triage. --- ## 🛡️ Key Safety & Civic Tech Features - **⚡ Quick Safe-Exit (`ESC` or Header Button)**: Instantly replaces the page location with a standard Nairobi weather search (`google.com`) to prevent discovery by an abusive partner or bystander. - **🌤️ Disguised Screen Mode ("Weather / Notes App")**: Allows survivors to switch the interface into a harmless 5-day Nairobi weather forecast. Can be unlocked back to Usalama Kenya by entering the secret PIN (`1195` – the National GBV Helpline number) or `0000`. - **🔒 100% Anonymous Incident Reporting**: Compliant with **Section 5 and 41 of the Kenya Data Protection Act (2019)**. Generates an alphanumeric tracking code (e.g., `SAL-8419`) for survivors to check status and receive support without providing identifying personal data. - **🗺️ Verified Help Points Map & Fast-List Directory**: Lists verified hospitals, Gender Violence Recovery Centres (GVRCs), Police Gender Desks, safe houses, and CREAW legal aid centers across Nairobi, Mombasa, Kisumu, Nakuru, Uasin Gishu, Kilifi, and 40+ counties. - **📱 Low-Data Mode & Africa's Talking SMS / USSD Fallback**: Supports feature phones and low-3G environments via USSD shortcode `*483*1195#` and SMS alert dispatch. - **📋 Local-Only Safety Planner**: Interactive checklist (packing emergency documents, memorizing code words, neighbor contacts) stored strictly in `localStorage`—never transmitted to any server. - **👩‍⚕️ Secure Counselor & Admin Portal**: Role-gated triage dashboard for verified responders to manage incident status, verify help facilities, and analyze anonymized count …