Diet-and-workout-Recommendation-using-Google-Gemini-pro

Elevate your health journey with our Diet & Workout Recommendation System on Google Gemini Pro! Personalized suggestions based on age, Gender, height, weight, region, dietary preferences, allergies, and health conditions. Optimize your well-being effortlessly!

Key Features

• Personalized recommendations: Generates diet and workout plans customized to individual needs and preferences.
• AI-powered insights: Utilizes Google Gemini Pro's advanced language capabilities to provide comprehensive and informative recommendations.
• User-friendly interface: Streamlined interaction through a simple and intuitive interface.

Technologies Used

• Streamlit: Framework for building web applications in Python.
• Google Gemini Pro API: Access to Google AI's text-generating capabilities.
• Langchain: Library for interacting with Google AI models.

Flowchart: Using Google Gemini Pro API Key in Diet and Workout Recommendation Project

Start

--> User inputs preferences - Age - Weight -Food type - Gender - Veg or Non-Veg - Region - State

--> Prepare request for Gemini Pro API - Format user input into structured API request - Include prompts and parameters as needed

--> Send request to Gemini Pro API - Use Langchain library or other method - Submit request with API key

--> Receive response from Gemini Pro API - API processes request - Generates text output with recommendations

--> Parse and format response - Extract relevant information: - Food suggestions - Workout - Fitness tips.

--> Present recommendations to user - Display information in Streamlit interface

--> (Optional) Offer additional functionalities - Adjust preferences - Refine recommendations - Track progress - Access other diet/workout features

End

Demo

Live Project

https://diet-and-workout-recommendation-using-app-gemini-pro.streamlit.app/

Setup and Usage

1. Obtain a Google Gemini Pro API key.

2. Install required libraries:

   pip install "library"
   

Run the Streamlit app:

streamlit run app.py