Zikir-AI is an innovative mobile application that brings together the power of spirituality and modern technology. It listens to the user’s voice in real-time, detects specific Arabic Dhikr phrases , and automatically counts them — no button tapping required.
Zikir-AI is a mobile app I developed using FlutterFlow as the base for UI and backend integration, combined with custom Flutter code to handle real-time Arabic voice recognition and Dhikr phrase counting. I extended the project using Flutter packages like speech_to_text and I wrote custom Dart code to detect specific Arabic phrases from the transcribed text and increment a counter each time a phrase is detected. To handle the one-minute limitation of voice recognition sessions, I implemented a looping mechanism that automatically restarts the listener, allowing uninterrupted Dhikr sessions. Data is stored and synced using Supabase for online usage and SQLite for offline access.