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Breathe is a comprehensive, AI-powered mobile health app designed to support early detection and ongoing management of lung conditions, including lung cancer. With advanced features like X-ray image analysis, interactive health assessments, and real-time air quality updates, Breathe empowers users to take control of their lung health—anytime, anywhere.
🚀 Features
🧠 AI-Based CT/X-Ray Scan Detection
Uses TensorFlow Lite to analyze chest scans and detect potential lung abnormalities.
Fast, accurate, and offline-capable diagnosis.
🩺 Smart Examination
Interactive question-based system to assess lung-related symptoms.
Adapts dynamically based on user responses.
🤖 Conversational Chatbot
Virtual health assistant for:
Symptom advice
Prevention strategies
Treatment recommendations
📚 Lung Health FAQs & Knowledge Hub
Access medically-reviewed articles and FAQs.
Supports awareness and educational content on respiratory health.
🌍 Real-Time Weather & Air Quality
Personalized Air Quality Index (AQI) based on location.
Understand how your environment affects your breathing.
🌐 Multi-Language Support
Available in 7 languages:
English 🇺🇸
Arabic 🇪🇬
Spanish 🇪🇸
Italian 🇮🇹
French 🇫🇷
German 🇩🇪
Chinese 🇨🇳
📱 Screenshots
1. 🖼️ Splash Screen & Onboarding
2. 📝 Registration
3. 🏠 Home Screen
4. 🖼️ X-ray Scan
5. 🧠 Smart Examination
6. 🤖 Chatbot
7. 📚 FAQs
8. 📬 Contact Us
9. 🌐 Languages
💻 Technologies Used
Flutter – Cross-platform app development
Cubit – Lightweight state management
Clean Architecture – Scalable and maintainable code structure
Dio – Network and API handling
TFLite – AI inference for scan analysis
Supabase – Backend, database, and auth services
Dependency Injection – Using GetIt for modular architecture
Animations – Smooth UI interactions
Google & Facebook Authentication – Easy and secure login
Let’s work together to make lung health accessible and intelligent for everyone.
About
AI-powered app for lung care, focused on early detection and management of conditions like lung cancer. It analyzes CT scans to quickly and accurately detect potential lung abnormalities.