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AI Healthcare Assistant that provides medical services to patients and doctors using chatbots to interact with them. It uses blockchain for storing medical reports and machine learning algorithms for illness detection and patient satisfaction prediction.

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AI Powered Health Solution

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Ripped is a Flask-based web application that harnesses the power of AI to promote fitness and a healthy lifestyle. With its user-friendly interface and intelligent features, Ripped aims to encourage individuals to embark on their journey towards improved health and fitness.

Features

  • Personalized Workouts: Ripped tailors workout plans based on user preferences, fitness levels, and goals.

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  • Monitoring Calories: The application allows you to calculate the calories for any eatable/food item.

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  • Customised Healthy Recipes: Ripped provides customized healthy recipes, curated just for you, taking your dietary restrictions into consideration as well.

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  • BMI Calculator: Ripped's BMI calculator is simple yet effective in helping you know where you lie on the health index.

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  • AI Health Assistant: Users can interact with our AI Assistant and discuss their health issues, progress, or any other queries that they may have.

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Getting Started

Follow these steps to get Ripped up and running on your local machine:

  1. Clone the Repository:
    git clone https://github.com/syedzubeen/ripped-mindsdb-project.git
    cd app
    
  2. Create a Virtual Environment:
    python -m venv venv
    Linux: source venv/bin/activate
    Windows: venv\Scripts\activate
    
  3. Install Dependencies:
    pip install requests, asyncio
    
  4. Create an env_vars.txt file in the app directory with the following content:
    USERNAME=<MindsDB Cloud Username>
    PASSWORD=<MindsDB Cloud Password>
    
  5. Run the Application:
    flask run
    
  6. Access the Application:
    Open your web browser and navigate to http://localhost:5000 to access Ripped.
    
    
    

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AI Healthcare Assistant that provides medical services to patients and doctors using chatbots to interact with them. It uses blockchain for storing medical reports and machine learning algorithms for illness detection and patient satisfaction prediction.

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