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๐Ÿฝ๏ธ AI Recipe & Meal Planning Agent

awesome-llm-appsai_recipe_meal_planning_agent

An intelligent meal planning agent built with Agno that helps you discover recipes, analyze nutrition, estimate costs, and create weekly meal plans based on your ingredients and dietary preferences.

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๐Ÿฝ๏ธ AI Recipe & Meal Planning Agent

An intelligent meal planning agent built with Agno that helps you discover recipes, analyze nutrition, estimate costs, and create weekly meal plans based on your ingredients and dietary preferences.

Features

๐Ÿ” Recipe Discovery

  • Find recipes based on available ingredients
  • Support for dietary restrictions (vegetarian, vegan, keto, paleo, etc.)
  • Ingredient substitution suggestions
  • Detailed cooking instructions and timing

๐Ÿ“Š Nutrition Analysis

  • Comprehensive nutritional breakdown per serving
  • User-friendly health assessments
  • Calorie, protein, carb, and fat tracking
  • Sodium and fiber content analysis

๐Ÿ’ฐ Cost Estimation

  • Grocery cost estimation for ingredients
  • Budget-friendly meal suggestions
  • Cost per serving calculations

๐Ÿ“… Weekly Meal Planning

  • Balanced meal plans for any household size
  • Dietary preference accommodation
  • Shopping list optimization
  • Budget-conscious planning

๐Ÿง  Session-Based Conversations

  • Remembers context during your current browser session
  • Preferences are not persisted after restart (no long-term storage)

How to get Started?

  1. Clone the GitHub repository
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd advanced_ai_agents/single_agent_apps/ai_recipe_meal_planning_agent
  1. Install the required dependencies:
pip install -r requirements.txt
  1. Get your OpenAI API Key
  1. Get your Spoonacular API Key
  1. Create a .env file in this folder
# Required
OPENAI_API_KEY=your_openai_api_key_here

# Optional but recommended for full recipe & nutrition functionality
SPOONACULAR_API_KEY=your_spoonacular_api_key_here
  1. Run the Streamlit App
streamlit run ai_recipe_meal_planning_agent.py
  1. Open your browser at http://localhost:8501

Example Interactions

Recipe Discovery:

  • "I have chicken, broccoli, and rice. What can I make?"
  • "Find me vegan recipes using lentils"
  • "Show me quick 30-minute dinner ideas"

Nutrition Analysis:

  • "What's the nutritional content of this recipe?"
  • "Is this meal high in protein?"
  • "How many calories per serving?"

Meal Planning:

  • "Create a week's worth of vegetarian meals for 2 people"
  • "I need a low-sodium meal plan"
  • "Plan budget-friendly meals for a family of 4"

Cost Estimation:

  • "How much will these ingredients cost?"
  • "What's the most budget-friendly option?"
  • "Estimate weekly grocery costs for this meal plan"

Application Architecture

Built with Agno Framework

  • Agent: OpenAI GPT-5 mini powered meal planning agent
  • Memory: Conversation memory for personalized recommendations
  • Tools: Custom tools for recipe search and analysis + DuckDuckGo web search
  • Interface: Streamlit web application

Custom Tools

  1. search_recipes(ingredients, diet_type=None) - Recipe discovery via Spoonacular API with detailed instructions
  2. analyze_nutrition(recipe_name) - Detailed nutritional analysis via Spoonacular
  3. estimate_costs(ingredients, servings=4) - Budget planning and cost estimation
  4. create_meal_plan(dietary_preference="balanced", people=2, days=7, budget="moderate") - Comprehensive weekly meal planning with shopping list
  5. DuckDuckGoTools - Web search for additional context

Key Technologies

  • Agno: AI agent framework
  • Streamlit: Web interface and user interaction
  • Spoonacular API: Recipe and nutrition data
  • OpenAI GPT-5 mini: Natural language understanding and generation

Customization

Adding New Dietary Preferences

Modify the search_recipes tool to include additional diet types supported by Spoonacular API.

Extending Cost Database

Update the ingredient_costs dictionary in estimate_grocery_costs() with local pricing.

Custom Meal Categories

Edit the meal_categories in create_weekly_meal_plan() to match your preferences.

Troubleshooting

API Key Issues:

  • Ensure your .env file is in the correct directory
  • Verify API keys are valid and have sufficient credits
  • Check API key format (no extra spaces or quotes)
  • Note: Without SPOONACULAR_API_KEY, recipe search and nutrition tools will return an error; other features will still load.

Recipe Search Not Working:

  • Verify Spoonacular API key is set correctly
  • Check your API usage limits (150 requests/day for free tier)
  • Try simpler ingredient searches

Memory Issues:

  • The agent uses conversation memory to remember preferences
  • Clear browser cache if experiencing persistent issues
  • Restart the application to reset conversation history

Contributing

Feel free to contribute by:

  • Adding new recipe sources or APIs
  • Improving nutrition analysis algorithms
  • Enhancing cost estimation accuracy
  • Adding new meal planning features

License

This project is open source. Please check the main repository for license details.

Support

For issues and questions:

  • Check the troubleshooting section above
  • Review the Agno documentation
  • Open an issue in the main repository

Ingestion metadata

Source catalog
awesome-llm-apps
Repository
Shubhamsaboo/awesome-llm-apps ยท main
File path
advanced_ai_agents/single_agent_apps/ai_recipe_meal_planning_agent/README.md
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7/24/2026, 3:00:13 AM (53m ago)
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