Pneumonia Prediction.

Pneumonia Prediction
LiveFlutterReactTypeScript

Pneumonia Prediction is an AI-powered medical imaging application that detects pneumonia from chest X-ray images using deep learning. The system features a React/TypeScript web interface and a Flutter mobile app, with a Python ML backend for image classification.

01

95%+ accuracy in pneumonia detection using CNN-based image classification

02

Dual-platform deployment — Flutter mobile app and React web interface

03

Python FastAPI backend serving trained ML models for real-time prediction

Stack

Built With

The stack combines the core frameworks, services, and UI tools used to ship the project.

FlutterReactTypeScriptPythonCNNFastAPI

Process

Project Timeline

Sep 2024

Research

Studied CNN architectures for medical image classification

Oct 2024

Model Training

Trained and validated pneumonia detection model on chest X-ray dataset

Nov 2024

App Development

Built Flutter mobile and React web interfaces

Dec 2024

Deployment

Deployed web app on Vercel with FastAPI backend

Highlights

What It Delivers

  • 195%+ accuracy in pneumonia detection using CNN-based image classification
  • 2Dual-platform deployment — Flutter mobile app and React web interface
  • 3Python FastAPI backend serving trained ML models for real-time prediction
  • 4Live deployment on Vercel for public access and testing
Open to opportunities

Have a project in mind?

I'm always open to discussing new opportunities, collaborations, and interesting ideas.