FLUTTER ECOSYSTEM

madhurchouhan7/synovia_ai_telehealth_app

Synovia é um assistente móvel de saúde impulsionado por IA que permite aos usuários verificar seus sintomas, obter insights personalizados sobre saúde e receber orientações médicas inteligentes em tempo real. Ao integrar a API Gemini do Google, o aplicativo pode analisar inteligentemente: analisar sintomas inseridos pelo usuário; prever condições de saúde possíveis; oferecer sugestões para os próximos passos.

Capa do projeto synovia_ai_telehealth_app
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Último push (UTC)
24 de set. de 2025
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Ativo
Madhur  GitHub avatar
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Madhur ↗

Building AI/ML systems, LLMs & developer tools. ECE student | Researcher | Open-source learner

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README original

Texto original em inglês. Visite o GitHub para a versão atual.

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🧠 Synovia AI — Your Smart Telehealth Companion

Synovia AI is an AI-powered telehealth mobile application built using Flutter, Firebase, and Google's Gemini AI. It helps users assess symptoms, track health conditions, and receive personalized AI-driven health insights—all from the comfort of their smartphones.

🌐 Landing Page(https://synovia-landing-page.vercel.app/)
▶️ Demo video(https://youtube.com/shorts/ee1Y5Ld0jF0?feature=share)

🚀 Features

  • 🔍 AI Symptom Analysis: Get instant responses and insights using Gemini-powered AI chat.
  • 📈 Health Tracker: View and monitor symptom severity trends over time.
  • 🗺️ Nearby Doctor Finder: Access a curated list of doctors near your location (coming soon).
  • 🧠 Personalized Responses: Tailored recommendations based on symptom data and chat history.
  • 💬 Conversational UI: Clean, chat-first design for an intuitive user experience.
  • 🗂️ Secure & Fast: Built using Firebase Auth, Firestore, and serverless backend functions.

📱 Screenshots

Symptom Chat Health Insight AI Response Doctor Finder

https://raw.githubusercontent.com/madhurchouhan7/synovia_ai_telehealth_app/HEAD/assets/screenshots/chat_page.png https://raw.githubusercontent.com/madhurchouhan7/synovia_ai_telehealth_app/HEAD/assets/screenshots/chat_page2.png https://raw.githubusercontent.com/madhurchouhan7/synovia_ai_telehealth_app/HEAD/assets/screenshots/health_reports.png

https://raw.githubusercontent.com/madhurchouhan7/synovia_ai_telehealth_app/HEAD/assets/screenshots/home_page.png https://raw.githubusercontent.com/madhurchouhan7/synovia_ai_telehealth_app/HEAD/assets/screenshots/nearby_doctors.png https://raw.githubusercontent.com/madhurchouhan7/synovia_ai_telehealth_app/HEAD/assets/screenshots/nearby_doctors2.png https://raw.githubusercontent.com/madhurchouhan7/synovia_ai_telehealth_app/HEAD/assets/screenshots/health_progress.png


🧰 Tech Stack

  • Frontend: Flutter (Dart)
  • Backend: Firebase Functions (Node.js), Firestore, Firebase Auth
  • AI Model: Gemini Pro (Google AI)
  • State Management: Provider
  • Storage: Hive (Local), Firebase Storage (Cloud)
  • Maps & Location: Google Maps API
  • Analytics & Crash Reporting: Firebase Analytics + Crashlytics

📂 Project Structure

lib/ ├── main.dart ├── config/ ├── core/ ├── features/ ├── utils/ functions/ # Firebase Cloud Functions (Node.js) assets/ # Images, icons, illustrations


💡 How it Works

  1. User signs in securely via Firebase Auth.
  2. User inputs symptoms through chat UI.
  3. Gemini AI model analyzes symptoms and generates insights.
  4. Responses are stored locally in Hive and backed up in Firestore.
  5. Health severity trends are visualized.
  6. (Upcoming) Doctor list is fetched based on location & condition.

🚧 Roadmap

  • [x] MVP with AI chatbot & health tracker
  • [x] Firestore + Hive integration
  • [x] Firebase Auth & onboarding
  • [x] Nearby doctor suggestions (location-based)
  • [x] Disease precautions integration
  • [x] Landing Page with waitlist + app demo
  • [ ] Launch on Google Play Store
  • [ ] iOS build & deployment

🛠️ Run Locally

git clone https://github.com/madhurchouhan7/synovia_ai_telehealth_app.git
cd synovia_ai_telehealth_app
flutter pub get
flutter run

🌐 Live Demo

  • 🚀 Coming soon on Google Play Store
  • 📩 Sign up for early access: synovia.health (Launching soon!)

🙋‍♂️ Author

  • Built with ❤️ by Madhur Chouhan
  • 📬 Reach out: madhurchouhan7@gmail.com

🤝 Contributing

Pull requests are welcome! For major changes, please open an issue first. Let's make digital healthcare smarter — together!