Understood. Here's a comprehensive README draft for your app:
InsightFlow is an AI-powered mobile application built with Flutter that enables users to upload datasets and receive intelligent insights and anomaly detection reports powered by Google’s Gemini AI. The app offers an intuitive, modern interface and aims to democratize data-driven decision-making for individuals and small businesses.
- 📤 Upload CSV/Excel datasets directly from your device.
- 🧠 AI Insight Engine using Gemini for pattern recognition and anomaly detection.
- 📈 Visual data summaries with charts and key metrics.
- 🔔 Real-time alerts and downloadable reports.
- 🌙 Dark/Light mode toggle.
- 🔄 Interactive and responsive UI with Flutter’s Material 3.
- 🔐 Firebase authentication and optional login via Google.
- 🔧 Scalable microservice-based backend (planned).
| Tech | Purpose |
|---|---|
| Flutter | Frontend Framework |
| Dart | Application Logic |
| Firebase | Authentication, Storage, Firestore |
| Gemini AI | Insight Generation and Analysis |
| FlutterFlow | UI Design and Component Management |
| GitHub | Version Control |
| Android SDK | Android Build Target |
| Firebase Emulator | Local Testing (optional) |
Add screenshots here once available (UI upload, results view, dark mode, etc.)
[App Link will go here once deployed via Firebase App Distribution / Google Play Store]
- Clone this repo:
git clone https://github.com/yourusername/insightflow.git
cd insightflow- Install dependencies:
flutter pub get-
Add your
firebase_options.dartand assets inpubspec.yaml. -
Run on Android:
flutter run -d android- Backend deployment with Firestore and Cloud Functions.
- Role-based dashboard for business clients.
- Multi-language support.
- Advanced analytics and export options.
Contributions are welcome! Open issues or submit pull requests with suggestions and improvements.
MIT License
Let me know if you want a Markdown .md file or a formatted PDF version for submission.