Spaces:
Configuration error
license: mit
title: SafeRoute
sdk: static
emoji: 🚀
colorFrom: indigo
colorTo: purple
pinned: false
app_file: index.html
short_description: SafeRoute acts as an intelligent decision-support system .
🚦 SafeRoute AI-Powered Traffic Intelligence & Accident Risk Prediction Platform SafeRoute is a production-grade, data-driven web application engineered to enhance road safety through real-time accident risk prediction, intelligent route analysis, and geospatial visualization.
It combines Machine Learning, real-time APIs, and modern web architecture to provide users with safer and smarter navigation decisions.
🌐 Live Demo https://safe-route-cyan.vercel.app
🧠 Overview SafeRoute acts as an intelligent decision-support system for navigation, going beyond traditional map applications by incorporating risk awareness into route planning.
Unlike standard navigation tools that optimize only for distance or time, SafeRoute evaluates safety metrics such as:
Weather conditions Road type Traffic estimation Historical risk patterns 🏗️ System Architecture Frontend (React + Leaflet) │ ▼ Geocoding Layer (Nominatim API) │ ▼ Routing Engine (OpenRouteService) │ ▼ Backend API Layer (Express / FastAPI) │ ▼ ML Inference Engine (Risk Prediction Model) │ ▼ Response Processing (Scoring + Classification) │ ▼ UI Visualization (Map + Risk Segments)
⚙️ Technology Stack Layer Technology Frontend React.js Maps & Visualization Leaflet + OpenStreetMap Routing API OpenRouteService Backend Node.js / Express / FastAPI Machine Learning Scikit-learn (Random Forest / Logistic Regression) Data APIs OpenWeather API AI Integration Generative AI (Assistant Layer) Deployment Vercel / Render / Cloud Platforms 🚀 Key Features 🧭 Intelligent Navigation Real-time route calculation (distance + ETA) Multi-point route analysis ⚠️ Accident Risk Prediction ML-based risk scoring (0–100%) Real-time inference (<500ms) Dynamic classification: 🟢 Low Risk (Safe Route) 🟠 Moderate Risk 🔴 High Risk 🗺️ Advanced Map System Interactive maps with multiple layers Route segmentation based on risk Satellite and terrain modes 🔍 Smart Search System Location search (city, address, places) Category-based search (ATM, hospitals, etc.) API-driven suggestions (no hardcoding) 🌦️ Context-Aware Insights Weather-based risk adjustments Environmental awareness 🤖 AI Assistance Context-aware navigation assistant Helps interpret route safety and decisions 🧪 Machine Learning Pipeline Input Features: Weather conditions (API) Time of day Traffic estimation Road type (highway, street, local) Output: Risk Probability (%) Risk Classification Model: Lightweight & optimized for real-time inference Pre-trained and served via API