Vijayalakshmi2608/LifeLineIQ

LifeLineIQ is an AI-powered health triage platform that helps people quickly understand the urgency of their symptoms and decide what to do next. It asks smart follow-up questions, tracks symptom history, works even without internet, and guides users to the right level of care in minutes — especially in low-resource and rural settings. # 🏥 GRASP Hackathon – AI-Assisted Rural Health Triage & Care Navigation ## 🌟 Overview This project is a **full-stack prototype** that helps rural populations understand the urgency of their health symptoms and guides them to the right level of care. The system converts user-reported symptoms into a **structured urgency assessment** with: - Clear reasoning - Actionable care guidance - Nearby facility suggestions (prototype data) It aims to reduce unnecessary hospital visits while ensuring critical cases are not delayed. --- ## 🚨 Problem Statement Rural healthcare systems face two major challenges: 1. **Overcrowding** due to non-urgent cases. 2. **Delayed treatment** for serious conditions because patients don’t know when care is truly urgent. People struggle to answer: - *Is my condition serious?* - *Where should I go?* - *Is the nearest facility appropriate for my symptoms?* --- ## 💡 Proposed Solution An AI-assisted triage and care navigation system that: - Collects symptoms from users - Applies intelligent decision logic - Explains *why* a case is urgent or non-urgent - Suggests suitable healthcare facilities - Works in low-resource and rural-friendly UI settings --- ## 🧱 System Architecture **React Frontend → REST API → Python Backend → SQLite Database** --- ## 🎨 Frontend ### Tech Stack - React - JavaScript - HTML / CSS ### Responsibilities - Symptom input form - Urgency result visualization - Care guidance UI - Facility listing (prototype data) - Mobile-friendly & rural-friendly UX --- ## ⚙️ Backend ### Tech Stack - Python - FastAPI ### Responsibilities - Process symptom inputs - Apply triage rules - Generate structured urgency reports - Serve healthcare facility data via APIs --- ## 🗄️ Database ### Technology - SQLite ### Purpose - Store healthcare facility details - Maintain prototype-level resource data - Support backend decision flow --- ## 🧠 AI / Decision Logic (Prototype) This version uses **rule-based decision logic** to simulat …