by myselfshravan · Agent Tool · ★ 54
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AI Meal Planner App This project is a meal planning app that generates personalized meal plans based on a user's caloric needs and food preferences. It uses Llama-3 70B through Groq API to generate creative meal ideas using ingredients selected by the algorithm. Try the app here Demo Features Calculates daily calorie needs based on user inputs (age, height, weight, gender) Supports both metric (kg, cm) and imperial (lb, ft + in) units Allows selection of food preferences and allergies/restrictions Generates personalized meal plans (breakfast, lunch, dinner) using knapsack algorithm to optimize calorie targets Creates creative meal names and descriptions using Llama-3 70B AI model Displays detailed nutritional information for each meal Technology Python Streamlit for web interface Pandas for data manipulation Llama-3 70B via Groq API for AI text generation Knapsack algorithm for optimal meal planning Add your API key to : Meal Planning Algorithm The app uses the Knapsack algorithm to optimize
| Stars | 54 |
| Forks | 40 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 61.7293862841739/100 |
| Last Updated | 2025-05-27 |
| Created | 2023-07-17 |
| Platforms | python |
| Est. Tokens | ~3k |
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AI-Meal-Planner is This project is a meal planning app that generates personalized meal plans based on a user's caloric needs and Personal Information. It utilizes natural language processing to generate creative meal i. It is categorized as a Agent Tool with 54 GitHub stars.
AI-Meal-Planner is primarily written in Python. It covers topics such as ai, anthropic, python.
You can find installation instructions and usage details in the AI-Meal-Planner GitHub repository at github.com/myselfshravan/AI-Meal-Planner. The project has 54 stars and 40 forks, indicating an active community.
The top alternatives to AI-Meal-Planner on Agent Skills Hub include simply-simplify-language, mcp_chatbot, claudex. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.