I’m looking for a full-stack developer who can turn our DURAV Quran AI concept into a working web application that helps intermediate Quran learners recite, memorize, and understand the Qur’an more efficiently through artificial intelligence. Core objectives • Real-time voice recitation analysis that listens through the user’s microphone. • Detailed tajwid feedback, including phonetic corrections, pronunciation tips, and automatic highlighting of mistakes on screen. • Adaptive memorization sessions that adjust passage length, repetition, and review intervals based on each learner’s progress. • Individual progress tracking with dashboards, streaks, and verse-by-verse accuracy charts. • Admin panel allowing me to manage content, users, and AI training data. Preferred tech stack React (or Next.js) for the front end, Node/Express and MongoDB (or PostgreSQL) on the back end, and a Python microservice running TensorFlow/PyTorch for speech-to-text and tajwid-error detection. If you have a smarter architecture suggestion, I’m open to it. What I will provide • A comprehensive developer direction PDF outlining user flows, wireframes, and data models. • Sample recitation datasets and tajwid rule references. • Branding assets and UI style guide. What I need from you 1. A functional prototype hosted on a staging server. 2. Clean, well-commented code in a Git repository. 3. A brief setup/readme so future contributors can run the project locally. 4. A short demo video or live walkthrough showing the core features working end-to-end. Nice-to-have (not mandatory in this phase) • Support for Arabic, English, and Bahasa UI toggles. • Simple mobile-friendly layout or basic PWA features for offline revision. If you’ve previously built AI-driven language-learning or speech-assessment tools, that’s a big plus. Share links or screenshots of relevant work when you apply, and let me know how soon you could deliver the prototype.