AI Developer Needed for Quran & Tajweed Learning App (Speech Recognition + Error Detection)

We are looking for an experienced AI/ML developer (or a small development team) to build an intelligent Quran and Tajweed learning application. The goal is to create an app that listens to a user's Quran recitation, detects pronunciation and Tajweed mistakes in real time, highlights the errors, and provides corrective feedback to help users improve their recitation. This is a long-term project with the potential for ongoing development and additional features. ### Core Features - Real-time speech recognition for Quran recitation - AI-powered pronunciation analysis - Tajweed rule detection and correction - Highlight incorrect letters, words, or verses - Explain the mistake and suggest the correct pronunciation - Voice comparison between the user's recitation and a qualified Qari - Progress tracking and learning analytics - Practice mode and assessment mode - Support for Arabic text with proper Quranic script - User authentication and cloud data storage ### AI Requirements The ideal candidate should have experience with one or more of the following: - Automatic Speech Recognition (ASR) - Speech-to-Text - Pronunciation Assessment - Natural Language Processing (NLP) - Deep Learning - Audio Signal Processing - Large Language Models (optional but preferred) - Experience working with Arabic speech or Quranic Arabic is a significant advantage. ### Preferred Tech Stack We are open to recommendations, but experience with the following is appreciated: - Python - TensorFlow or PyTorch - Whisper or other speech recognition models - Hugging Face models - Flutter or React Native - Firebase or Supabase - FastAPI or Django - AWS, Google Cloud, or Azure ### Deliverables - Mobile application (Android and iOS) - AI backend for pronunciation analysis - Admin dashboard - API documentation - Source code - Deployment assistance ### Ideal Candidate - Proven experience building AI-powered application