Pathify

A clinic appointment and doctor-matching platform from a symptom-based AI checker

Details

Role

Project Lead & Frontend Developer

Project Type

Hackathon Project

Duration

24 Hours

Status

MVP / Completed Prototype

Recognition

AI.DEAS for Impact 2025 Hackathon, Region VI - Regional Finalist

Core Features

AI Symptom Analysis
Disease-Specialist Mapping (TOPSIS)
Real-Time Referral Tracking

Tech Stack

JavaScript

Tailwind

HTML

CSS

FontAwesome

Python

Flask

MySQL

Tensorflow

PyTorch

Scikit-learn

Overview

A web-based system developed during the AI.DEAS for Impact 2025 Hackathon, where it became a Regional Finalist. It connects patients with specialists by analyzing symptoms using an AI model and mapping conditions to doctors ranked through a TOPSIS algorithm. Administrators manage referrals and appointments via a centralized dashboard.

Problem

Context

Referral management is largely manual
Patients may struggle to identify the appropriate specialist
Paper records and phone calls make coordination difficult
No centralized system for referrals and specialist availability

Impact

Delays in connecting patients with specialists
Increased administrative workload
Risk of duplicate referrals and miscommunication
Limited visibility across the referral process

Objectives

Help patients identify the appropriate medical specialist
Analyze patient-reported symptoms using AI
Apply TOPSIS to rank specialists based on availability, experience, urgency, and patient history.
Centralize referral and appointment management

Solution

The system combines AI-based symptom analysis with a TOPSIS ranking system to support patient referrals. Reported symptoms are analyzed to predict possible conditions, which are mapped to relevant medical specialties. Doctors are then ranked based on factors such as experience, availability, urgency, and patient history.

Key Features

Role-based access for patients, doctors, and administrators

AI-powered symptom analysis

TOPSIS-based specialist ranking

Referral tracking and status updates

Centralized appointment and referral management

System Design

A centralized, database-driven architecture connects symptom analysis, condition mapping, specialist ranking, and referral management. Separate workflows provide patients, doctors, and administrators with the functions relevant to their roles.

Role and Contributions

Project Lead & Frontend Developer

Led frontend planning and interface design
Developed interfaces for patients, doctors, and administrators
Integrated symptom analysis and referral workflows
Coordinated frontend integration with backend services
Tested and prepared the system for hackathon presentation

Outcome and Impact

Built a working prototype that combines AI-based symptom analysis with multi-criteria specialist ranking for healthcare referrals. The project was selected as a Regional Finalist in the AI.DEAS for Impact 2025, Region VI, and later led to further exploration of AI-assisted triage through the AI Triage Pipeline project..

Screenshots

Home

Displays the main landing interface for patients and doctors, including symptom input and navigation to referral tracking.