PulmoSense AI - Mobile App

PulmoSense AI is a mobile-based deep learning application for lung sound classification, aimed at assisting healthcare professionals in diagnosing respiratory conditions efficiently and accurately. The app leverages deep learning and Flutter technologies to offer a modern, intelligent, and user-friendly diagnostic tool.

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🚀 Features

• 🔐 Secure login/signup with Firebase Authentication
• 🧑‍⚕️ Add and manage patient profiles
• 🎧 Upload and analyze auscultation recordings
• 🧠 AI-based classification: Healthy or Diseased
• 📋 Detailed patient history logs
• 🩺 Diagnosis results with condition-specific breakdowns
• 🌐 Firebase integration for real-time sync and storage

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🧠 AI Model Integration

PulmoSense AI incorporates a two-phase deep learning pipeline:

1. Binary CNN Model – Determines if the patient is Healthy or Diseased
2. Ensemble Classifier (CNN / CNN-LSTM) – If diseased, identifies the condition (e.g., Asthma, Pneumonia, COPD)

The AI inference runs via a Flask API deployed on Hugging Face Spaces, which the mobile app communicates with using HTTP requests.

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📱 Tech Stack

Layer	Technology
Frontend	Flutter (Dart)
Backend	Firebase (Auth + Firestore)
ML Models	Python (CNN, CNN-LSTM)
API	Flask
Hosting	Hugging Face Spaces

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📂 Key Files

• main.dart: Application entry point
• firebase_options.dart: Firebase configuration

Screens

• Authentication:

  • login.dart
  • signup.dart
  • forgot_password.dart

• Patient Management:

  • add_patient.dart
  • select_patient.dart
  • patient_details_page.dart

• Features:

  • new_patients_auscultation.dart
  • Healthy diagnosis page.dart

• App Flow:

  • splash.dart
  • dashboard.dart
  • profile_page.dart

• History:

  • history_page.dart
  • history_page copy.dart

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🧪 How to Use

1. Clone the repository

   git clone https://github.com/yourusername/pulmosense-ai.git
   cd pulmosense-ai/lung_sound_system
   

2. Install Flutter dependencies

   flutter pub get
   

3. Run the app

   flutter run