NutrizionAItor

Overview

NutrizionAItor is a Python-based application that generates personalized nutritional plans and projects estimated weight changes over time. By leveraging artificial intelligence, it tailors meal plans according to user-specific data such as weight, height, age, gender, physical activity level, and dietary goals. The program also calculates the user's Total Daily Energy Expenditure (TDEE) and provides a visual representation of weight development over the coming months.

Features

• User-friendly graphical interface created with Tkinter.
• Integration with MistralAI to generate customized nutritional plans.
• Calculation of TDEE based on user inputs.
• Graphical representation of estimated weight changes over time.
• Options for different dietary goals (weight loss, maintenance, muscle gain).
• Saves the generated nutritional plan to a text file.
• Displays the calculated TDEE within the application.

Requirements

• Python 3.x
• Tkinter
• matplotlib
• Pillow
• mistralai (Python client for MistralAI)

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/NutrizionAItor.git
   cd NutrizionAItor

2. Install the required Python packages:

   pip install tkinter matplotlib pillow mistralai

3. Set your MistralAI API key as an environment variable:

   export MISTRAL_API_KEY="your_mistralai_api_key"

Usage

1. Run the application:

   python nutrizionaitor.py

2. Enter the required information into the application interface:

   • Weight (kg)
   • Height (cm)
   • Gender
   • Age (years)
   • Physical Activity Level
   • Dietary Goal

3. Click the "Genera" button to generate the nutritional plan. The application will:

   • Calculate your TDEE.
   • Display your TDEE within the application.
   • Generate a personalized nutritional plan.
   • Save the nutritional plan to a file named dieta.txt.
   • Display a graph showing the estimated weight changes over the next few months.

Example

Here's a screenshot of the application interface:

Contributing

Contributions are welcome! Please fork the repository and submit pull requests for any enhancements or bug fixes.

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