Nutritionist-Generative-AI-Doctor-using-Google-Gemini-Pro-Vision

Project Overview

The Nutritionist-Generative-AI-Doctor project utilizes the power of Google Gemini Pro Vision to provide AI-driven nutritional advice and health insights. By leveraging advanced machine learning models and vision processing, this system acts as a virtual nutritionist, offering personalized dietary recommendations based on user input, including images of food and lifestyle information.

Key Features:

• Generative AI for Nutrition Guidance: Offers personalized dietary recommendations based on user preferences, health goals, and food habits.
• Image Recognition with Google Gemini Pro Vision: Analyzes food images to provide detailed nutritional information and suggest meal modifications.
• Health Insights: Provides actionable insights based on dietary patterns, lifestyle, and overall health goals.
• User-Friendly Interface: Easy-to-use front-end where users can input their meals, goals, and preferences to receive tailored nutritional guidance.

Technologies Used

• Google Gemini Pro Vision: For food image recognition and data extraction.
• Python: Backend for handling API requests and integrating AI models.
• Flask/Django: Framework for building the web application.
• TensorFlow/PyTorch: Used for model development and fine-tuning AI algorithms.
• HTML, CSS, JavaScript: Frontend for user interaction.
• SQLite/PostgreSQL: Database for storing user data and meal history.
• Docker: Containerization for easy deployment.

Installation

Prerequisites

• Python 3.8+
• Google Gemini API access
• TensorFlow or PyTorch (depending on model choice)
• Flask/Django framework
• SQLite/PostgreSQL database setup

Steps to Set Up

1. Clone the repository:

   git clone https://github.com/Lucky-akash321/Nutritionist-Generative-AI-Doctor-using-Google-Gemini-Pro-Vision
   cd Nutritionist-Generative-AI-Doctor-using-Google-Gemini-Pro-Vision