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Nutritionist Generative AI Doctor using Gemini

By utilizing the potential of Gemini AI technology, Gemini AI Nutritionist transforms dietary advice. This innovative concept creates a virtual dietitian that can provide individualized food recommendations by combining deep learning and sophisticated algorithms. Gemini AI Nutritionist looks at each customer's health profile and preferences to help them make smart decisions about their nutrition, meet their wellness goals, and make the most of their food choices.

The Gemini AI Nutritionist is an exclusive nutrient. It uses neural networks and smart machine learning to give each person personalized diet advice based on their needs. It looks at your genes, what you eat, and your health to give you specific advice that takes into account your goals, limitations, and nutritional needs. This tailored method makes nutritional therapy more effective and increases user engagement and satisfaction. Our knowledge of nutrition could change forever thanks to the Gemini AI Nutritionist, which gives people the power to make the healthiest decisions.

Explanation All Code

Step 1:

You can mount your Google Drive in a Google Colab notebook with this piece of code. This makes it easy to view files stored in Google Drive for data manipulation, analysis, and training models in the Colab environment.


Install the Python SDK

The google-generativeai package includes the Python SDK for the Gemini API. Use pip to install the dependency:

Import the necessary packages.

Step 2:

Setup your API key
You need to get an API key before you can access the Gemini API. Create a key in Google API key with only one click if you don't already have one.

On Colab, click the "🔑" on the left panel and add the key to the secrets manager. Google API key should be given to it.

Source YouTube video link.

Once you have the API key, pass it to the SDK. You can do this in two ways:
  • Put the key in the GOOGLE_API_KEY environment variable (the SDK will automatically pick it up from there).
  • Pass the key to genai.configure(api_key=..........................)

List models

It's now time for you to make a Gemini API request. List_models can be used to view the available Gemini models.

  • For text-only prompts, Gemini-Pro is optimised.
  • For text-and-image prompts, gemini-pro-vision is optimised.

Generate text from text inputs

For text-only prompts, utilise the Gemini-Pro variant.

Step 3:

Generate text from image and text inputs


A multimodal model (gemini-pro-vision) that takes in inputs in the form of text and images is offered by Gemini. Text output is returned via the GenerativeModel.generate_content API, which is made to accommodate multimodal prompts. Let's add this picture:

Conclusion

An innovative initiative called the Gemini AI Nutritionist makes individualised nutrition advice by using deep learning and artificial intelligence. It provides customised advice to maximise nutrition and support improved health outcomes by evaluating genetic information, lifestyle variables, and individual health profiles. The technology possesses the ability to continuously learn and adapt, which could revolutionise personalised healthcare and enable people to make informed food choices for better overall health.

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