Build a personalized AI health and fitness planner using Agno framework and Google Gemini for diet and workout plans.
### 🎓 FREE Step-by-Step Tutorial
**👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-a-personal-health-and-fitness-ai-agent-using-google-gemini) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.**
The **AI Health & Fitness Planner** is a personalized health and fitness Agent powered by Agno AI Agent framework. This app generates tailored dietary and fitness plans based on user inputs such as age, weight, height, activity level, dietary preferences, and fitness goals.
## Features
- **Health Agent and Fitness Agent**
- The app has two phidata agents that are specialists in giving Diet advice and Fitness/workout advice respectively.
- **Personalized Dietary Plans**:
- Generates detailed meal plans (breakfast, lunch, dinner, and snacks).
- Includes important considerations like hydration, electrolytes, and fiber intake.
- Supports various dietary preferences like Keto, Vegetarian, Low Carb, etc.
- **Personalized Fitness Plans**:
- Provides customized exercise routines based on fitness goals.
- Covers warm-ups, main workouts, and cool-downs.
- Includes actionable fitness tips and progress tracking advice.
- **Interactive Q&A**: Allows users to ask follow-up questions about their plans.
## Requirements
The application requires the following Python libraries:
- `agno`
- `google-generativeai`
- `streamlit`
Ensure these dependencies are installed via the `requirements.txt` file according to their mentioned versions
## How to Run
Follow the steps below to set up and run the application:
Before anything else, Please get a free Gemini API Key provided by Google AI here: https://aistudio.google.com/apikey
1. **Clone the Repository**:
```bash
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd advanced_ai_agents/single_agent_apps/ai_health_fitness_agent
```
2. **Install the dependencies**
```bash
pip install -r requirements.txt
```
3. **Run the Streamlit app**
```bash
streamlit run health_agent.py
```