AI RMF FlutterFlow App Development

Problem: A US-based client needed a comprehensive Risk Management Framework (RMF) app with secure authentication, dynamic workflows, and a centralized dashboard. The app had to allow users to create workflows by selecting options, save those choices in Firebase, and display them clearly on both workflow and master dashboards.

Solution: As the lead developer, I managed the project end-to-end using FlutterFlow + Firebase. I implemented secure authentication and password management, designed workflow creation with real-time Firebase queries, and built a dashboard system that dynamically updates based on user selections. The backend was structured on Firebase with scalability in mind, while future updates will include AI integration for intelligent recommendations and a chat feature for user collaboration.

Outcome: The AI RMF App is now a robust and scalable platform that enables users to securely create, manage, and visualize workflows in real-time. By delivering a clean UI, reliable Firebase integration, and a future-ready architecture, the app is positioned to seamlessly expand with upcoming AI and chat features to deliver even greater value.