Recommending Enriched Nutrition Diet

Health is Wealth

Overview

The "Recommending Enriched Nutrition Diet" project is a web-based application designed to provide users with personalized diet recommendations. By inputting specific health parameters, users receive tailored nutrition plans to enhance their well-being.

Features

• Personalized Diet Plans: Users receive diet suggestions based on their individual health metrics.
• BMI Calculation: The application calculates the Body Mass Index (BMI) to assess weight categories.
• Health Issue-Based Recommendations: Offers dietary advice tailored to specific health concerns.

Installation

To set up the application locally:

1. Clone the Repository:

   git clone https://github.com/HARSHAVINJAMURI/Recommending-Enriched-Nutrition-Diet.git
   cd Recommending-Enriched-Nutrition-Diet

2. Set Up a Virtual Environment (optional but recommended):

   python3 -m venv venv
   source venv/bin/activate  # On Windows, use venv\Scripts\activate

3. Install Dependencies:

   pip install -r requirements.txt
   

Usage

1. Run the Application:

   python app.py

2. Access the Web Interface: Open your browser and navigate to http://127.0.0.1:5000/ to interact with the application.

Requirements

• The application relies on the following Python packages:

  • Flask==2.2.5
  • pandas==2.0.3
  • openpyxl==3.1.2
  • numpy==1.24.3

• These are specified in the requirements.txt file.

Tech Stack

• Frontend: HTML
• Backend: Python (Flask)
• Data Processing: pandas, numpy
• Data Storage: Excel files (dataset.xlsx, dataset0.xlsx)

Project Structure

Recommending-Enriched-Nutrition-Diet/

├── app.py
├── dataset.xlsx
├── dataset0.xlsx
├── index.html
├── index1.html
├── index2.html
├── index3.html
├── requirements.txt
├── result.html
└── result0.html

• app.py: Main application file containing the Flask server and route definitions.
• dataset.xlsx & dataset0.xlsx: Datasets containing nutritional information.
• index.html and other HTML files: Frontend templates for various pages.
• requirements.txt: List of required Python packages.

Future Enhancements

• User Authentication: Implement user login and profile management.
• Expanded Database: Incorporate a broader range of health conditions and dietary recommendations.
• Interactive Features: Add charts and visualizations for better user engagement.

Contributing

• Contributions are welcome! Please fork the repository and create a pull request with your proposed changes.

License

• This project is open-source and available for free.