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Turing Devs

A web & android app which instantly analyzes symptoms, connects users with doctors, finds nearby pharmacies, hospitals.

Pila tecnológica

React
Python
Node
Express
typescript
PyTorch
NLP
Neural Network

Descripción

Revolutionizing Healthcare Access for Homebound Patients

QuickAid leverages AI to connect patients with doctors based on symptoms, eliminating reliance on personal networks.

Features :

AI-Powered Disease Prediction – Enter symptoms to receive potential diagnoses.

Find Nearby Doctors – Locate medical professionals, hospitals, and pharmacies.

Daily Health Tips – Receive wellness tips.

Emergency Numbers – Access essential contacts instantly.

Tech Stack :

AI & Backend: Python, PyTorch, BioBERT, Flask, Express.js, MongoDB, Docker

Frontend & Mobile: TypeScript, React.js, Tailwind CSS, ShadCN/UI, Capacitor.js

Execution :

AI-driven disease prediction using PyTorch

Web app with React.js & Tailwind CSS

Mobile app powered by Capacitor.js

Secure API & database with Express.js & MongoDB

Progreso del hackathon

90
Líder del equipo
SSneha Karmakar
Enlace del proyecto
Sector
AI