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🍴 CuisineRAG

The Intelligent Moroccan Cuisine Companion

An AI-powered recipe assistant revolutionizing how you discover and adapt Moroccan cuisine.
Built with Retrieval-Augmented Generation (RAG) and powered by Tavily Search API and Llama (Groq/TUF), CuisineRAG offers personalized recipe recommendations while honoring culinary traditions.

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⚠️ Under Development:
This is an academic research project in its early stages, with exciting features rolling out in 2024.

Last Updated: December 2024

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🌍 What is CuisineRAG?

CuisineRAG is more than a recipe assistant—it’s a blend of Morocco’s rich culinary heritage and cutting-edge AI. Designed to meet the needs of modern food enthusiasts, it provides:

• Instant access to authentic Moroccan recipes through real-time AI-driven search.
• Culturally informed adaptations of recipes for various dietary preferences.
• Seamless, human-like interactions that guide users through a culinary journey.

Why CuisineRAG?

✨ Preserve Tradition: Celebrate the essence of Moroccan cuisine while embracing dietary inclusivity.
✨ Empower Choices: Dynamically adapt recipes with substitutions that fit your lifestyle.
✨ Leverage Innovation: Rely on the latest AI technology to transform how you cook and eat.

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🚀 Key Features

🧠 Smart Recipe Retrieval

• Real-time Search: Powered by the Tavily Search API, CuisineRAG fetches the freshest and most relevant Moroccan recipes online.
• Curated Database: A robust offline recipe library ensures availability even without internet access.
• Caching: Frequently accessed recipes are stored locally for lightning-fast retrieval.

🛠️ Intelligent Recipe Adaptation

• Advanced ingredient substitutions tailored to dietary restrictions like vegan, gluten-free, keto, and more.
• AI algorithms ensure recipes retain nutritional balance and authentic Moroccan flavors.
• Built-in cultural safeguards to preserve the soul of traditional Moroccan dishes.

💬 Natural Language Interactions

• Conversational AI: Ask questions, get recipe clarifications, or explore cooking tips naturally.
• Multi-turn Dialogues: Smoothly handle complex or multi-step cooking queries.
• Smart Suggestions: Get ingredient recommendations based on your pantry and preferences.

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🥗 Dietary Flexibility

CuisineRAG adapts Moroccan recipes to fit a variety of dietary lifestyles, supporting:

✓ Vegan/Vegetarian
✓ Gluten-free
✓ Keto
✓ Low-fat
✓ Diabetic-friendly
✓ Low-sodium

🧑‍🍳 Example: Transform a traditional chicken pastilla into a keto-friendly delight without compromising on flavor or texture.

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🛠 Technical Blueprint

Technology Highlights

Component	Tech Stack
Backend	Python 3.8+, FastAPI, SQLAlchemy,Llamaindex, Langchain
AI/ML	Llama (Groq/TUF), Sentence Transformers
Caching	Redis
Database	SQL + Qdrant
Search	Tavily Search API

Key Algorithms

• Retrieval-Augmented Generation (RAG): Combines real-time search results with offline data for unmatched flexibility.
• Semantic Understanding: Uses sentence transformers for deep contextual awareness of user queries.
• Adaptation Engine: Dynamically adjusts recipes while preserving cultural authenticity.

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📊 Performance Metrics

Metric	Result
Average Recipe Retrieval Time	< 10 seconds
Recipe Adaptation Accuracy	95%
User Satisfaction Score	4.0/5.0
Average Response Time	< 12 seconds

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💻 Getting Started

System Requirements

• Python 3.8+
• Minimum 8GB RAM
• 20GB storage space
• (Optional) CUDA-compatible GPU for faster AI processing

Installation

# Clone the repository
git clone https://github.com/yourusername/CuisineRAG.git
cd CuisineRAG

# Create and activate a virtual environment
python -m venv venv
source venv/bin/activate  # For Linux/Mac
.\venv\Scripts\activate   # For Windows

# Install dependencies
pip install -r requirements.txt

# Start the application
python app.py

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🔮 Roadmap

Coming Soon

2024 (Q4)

• 🌐 Multi-language support (Arabic, French).
• 📱 Mobile app development.
• 🥗 Advanced nutritional analysis features.

2025 (Q1)

• 🗣 Voice interaction capabilities.
• 🖼 AI-powered recipe image generation.
• 🌍 Community contributions for user-uploaded recipes.

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👥 Meet the Team

CuisineRAG is crafted by a passionate team of engineers and food lovers:

• Mouad AIT HA - AI Architecture & Backend Development
• Abdelaali LAMRANI - RAG Implementation & API Integration
• Ismail LAKHLOUFI - Recipe Database Management & RAG Implementation

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Made with ❤️ by the CuisineRAG Team

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✨ Rediscover Moroccan Cuisine. Reimagine Your Diet.

Your journey to delicious, adaptable recipes starts here. 🍴