AI Quran App Upgrade: Memorization & Tajweed

Job ID: 40262775

Budget: $30 – $250 USD

DeenHub aims to be the most advanced AI Quran memorization and Tajweed app for personal use. The upgraded feature will provide:
1. Full real-time Tajweed detection for all major rules.
2. Automatic Surah/Ayah detection if users don’t select them.
3. Tap-to-Hear Word Pronunciation for immediate learning.
4. AI explanations for mistakes with detailed guidance.
5. Interactive weak-word practice and personal progress tracking.
This ensures users can practice independently with real-time feedback and AI guidance, making DeenHub more interactive and educational than existing competitors.

Feature Breakdown
Real-Time Recitation & Feedback
* Users tap “Recite Live – Tajweed Mode”.
* Audio is captured live and processed in small chunks (1–3 seconds).
* App detects mistakes as the user recites, highlighting errors word-by-word.
* Automatic Surah/Ayah detection:
* If the user doesn’t select a Surah or Ayah, the app identifies which Surah/Ayah is being recited.
* Aligns audio with correct text for instant Tajweed analysis.

Full Tajweed Rules Detection
Detect all Tajweed rules accurately and in real-time:
Rule Detection Method Feedback Example
Madd Measure vowel duration (phoneme timing) “Madd too short in this word.”
Ghunnah Detect nasal phoneme amplitude/duration “Ghunnah not applied on noon shaddah.”
Qalqalah Detect sharp consonant bursts “Qalqalah missing on ق.”
Idgham Detect merging phoneme transitions “Idgham missing between letters.”
Ikhfa Detect nasal softening “Ikhfa required here.”
Iqlab Detect ن → م conversion “Iqlab missing here.”
Waqf / Stop Silence duration / pause timing “Pause too early/late.”
• Mistakes are color-coded in real-time:
* Red: Ghunnah / Qalqalah
* Yellow: Madd
* Blue: Other Tajweed errors
* Accuracy is updated live per word and per rule.

Tap-to-Hear Word Pronunciation (Enhanced)
* Users can tap any word in live or review mode.
* App plays correct pronunciation using AI TTS or pre-recorded Tajweed-correct audio.
* Supports all Tajweed rules: Madd, Ghunnah, Qalqalah, Idgham, Ikhfa, Iqlab.
* Optional loop / repeat button for reinforcement.
* Provides instant auditory feedback alongside visual feedback.

AI Explanation Layer
* After each ayah, system generates AI explanations for mistakes:
* Highlights which Tajweed rule was violated.
* Provides friendly guidance for correction.
* Example: “Ghunnah missing on noon shaddah; pronounce nasal sound for 2 seconds.”
* Explanations appear below highlighted ayah.
* Premium users: full explanations.
* Free users: basic summaries.

Weak Word / Rule Practice
* System identifies frequently missed words/rules for the user.
* Provides targeted practice sessions immediately after recitation.
* Encourages habit formation and faster Tajweed mastery.

Automatic Surah/Ayah Detection
* Uses audio + phoneme analysis to detect which Surah/Ayah is being recited if user does not select it.
* Ensures correct Tajweed feedback during spontaneous practice.

Accuracy & Analytics
* Tracks accuracy per word and per Tajweed rule.
* Tracks historical performance, weak words, weak rules, and most mistaken ayahs.
* Focused on individual learning progress, no school/teacher dashboard.

Frontend Requirements
* Recite Live – Tajweed Mode button
* Live word-by-word highlights and accuracy bar
* AI explanation area below ayah
* Tap-to-Hear Word Pronunciation feature
* Weak word/rule practice button
* Maintain existing memorization features: repetition, speed control, AI explanation

Backend Requirements
* Real-time audio processing service
* Speech-to-text (Arabic): OpenAI Whisper streaming recommended
* Phoneme-level analysis for Tajweed detection
* Automatic Surah/Ayah detection
* AI layer for post-ayah explanations
* Store: audio chunks, transcription, mistakes, accuracy scores

Database / Storage
* Session Data: user ID, Surah/Ayah, audio, transcription, mistake JSON, accuracy, timestamp
* Word Error Frequency Table: track repeated mistakes
* Optional caching of AI TTS word pronunciations for speed