Tajweed-AI

Tajweed-AI : mobile app , salam hack Hackathon

Tjweed-AI Backend

Backend for Tjweed-AI, a Django DRF application to assist users in learning Quranic recitation and Tajweed with AI-generated content. Hosted on Render using Docker.

Project Idea

A mobile app backend leveraging AI to provide personalized Tajweed lessons, quizzes, and recitation correction for Quran learners.

Deployment

• URL: https://my-django-app-latest-ht9a.onrender.com
• Hosting: Render
• Container: Docker

Tech Stack

• Framework: Django REST Framework (DRF)
• Language: Python
• Database: SQLite
• AI: Google Gemini API
• Deployment: Docker on Render

API Endpoints

Authentication

• /api/signup/
  • POST: Register a new user.
• /api/token/
  • POST: Generate access and refresh tokens.
• /api/refresh/token/
  • POST: Refresh access token.

Core Functionality

• /api/generate_quiz/{{topic}}/
  • GET: Generate a quiz for a given topic.
• /api/quiz/
  • GET: List quizzes.
  • POST: Create quiz.
  • PUT, PATCH, DELETE: Update or delete quiz.
• /api/chatbot/
  • POST: Send message to chatbot.
  • GET: Retrieve chat history.
  • DELETE: Clear chat history.
• /api/goals/
  • POST: Set user goals and generate lessons.
  • PUT: Update goals.
  • GET: Retrieve goals.
• /api/lessons/
  • GET: List lessons.
  • PATCH: Update lesson.
  • DELETE: Delete all lessons.
• /api/get_verse/{{topic}}/
  • GET: Fetch a verse related to a topic.
• /api/recitation_correction/
  • POST: Submit audio file, topic, and verse for correction.

Setup

1. Clone the repo: git clone <repo-url>
2. Install dependencies: pip install -r requirements.txt
3. Run migrations: python manage.py migrate
4. Start server: python manage.py runserver

Notes

• All AI features (quiz generation, chatbot, lesson creation, recitation correction) use the Google Gemini API.
• Docker configuration is included for deployment.