TheTrailblazersNetwork/atfchallenge2025

This repository contains the source code for 'The Trailblazers' team project, developed for the African Technology Forum Student Tech Challenge 2025. This project seeks to contribute to the growth of the Ghanaian tech ecosystem by providing innovative solutions to local challenges. # ATFChallenge2025 – AI-Assisted OPD Scheduling & Patient Flow Management System --- --- **Problem Statement Six (6)** - ATF AI Challenge **Team:** TRAILBLAZERS This project proposes an **AI-driven solution to revolutionize Outpatient Department (OPD) operations** at Korle Bu Teaching Hospital's Neurological Centre, addressing critical challenges such as extended wait times and inefficient patient management. ## Table of Contents - Project Overview - Demo Video - Problem Statement - Proposed Solution - Technical Architecture - Key Features - Phase One — Patient & Appointment Management - Phase Two — AI Triage & OPD Flow - AI-Powered Triage (NeuroQueue) - Priority Ranking System - Technology Stack - System Structure - Workflow Diagram - Project Structure - Getting Started - NeuroQueue API Documentation - Environment Variables - Contributing - License - Acknowledgments - Support --- ## Project Overview This comprehensive README, submitted by **TRAILBLAZERS** for the **ATF AI Challenge**, specifically targets **Problem Statement 6** from Korle Bu Teaching Hospital. The core objective is to develop an **AI-Assisted Outpatient Department (OPD) Scheduling and Patient Flow Management System** for the Korle Bu Neurological Centre. The initiative aims to **transform current manual OPD operations** by automating scheduling, enhancing patient prioritization, and providing real-time queue transparency. This will ultimately lead to **reduced wait times, improved patient satisfaction, and optimized staff efficiency**. The solution leverages **advanced AI technologies**, including **open-source models hosted on the Groq platform**. . --- ## Demo Video --- ## Problem Statement Korle Bu Teaching Hospital, a leading healthcare institution in Ghana, faces significant operational inefficiencies in its Neurological Clinic due to a **current manual scheduling system**. These inefficiencies severely impact both patient experience and staff productivity. --- **Figure:** …