RamadhaHassan/SafeDropAI

Smart identity check and risk score for safe digital deliveries in Kenya. # SafeDropAI Smart identity and risk screening for digital deliveries Status: Active Python: 3.10+ License: MIT ## Overview SafeDropAI protects riders and SMEs from unsafe anonymous buyers. It verifies the buyer before dispatch and creates a secure case record for investigators. ## Users - Phone shops - Independent riders - Delivery services - Safety teams --- ## Key Features - Face match check - Phone number trust score - Delivery location risk scan - Order keyword alerts - Automatic risk score - Dispatch block for risky orders - Rider arrival timer - Panic alert - Case log export --- ## How It Works 1. Order placed on WhatsApp or web form 2. System sends secure verification link 3. Buyer uploads selfie and location pin 4. AI checks identity signals 5. Seller views score 6. Rider gets safety status 7. Logs stored for support when needed --- ## System Diagram (Text) Buyer → SafeDrop Form ↓ AI checks → Score → Dashboard ↓ Rider timer + panic alert ↓ Case log for investigators --- ## Tech Stack - Python - FastAPI - n8n automation - Face match model - Phone intelligence API - WhatsApp Cloud API - PostgreSQL - Docker and Docker Compose - Encrypted storage --- ## Installation ### Requirements - Python 3.10+ - Docker and Docker Compose - Git ### Setup ```bash git clone github.com cd SafeDropAI cp .env.example .env docker compose up --build