PRIMS is a Flask-based app that predicts ingredient demand for restaurants, reducing waste and preventing stockouts. It uses machine learning to automate inventory management and order placement.

• Python 3.x: Install from python.org.
• Git: Install from git-scm.com.

Clone the repo to your local machine:

git clone https://github.com/tramya16/predictive-restaurant-inventory.git
cd predictive-restaurant-inventory

Create and activate the virtual environment:

• On Windows:

  python -m venv .venv
  .venv\Scripts\activate

• On macOS/Linux:

  python3 -m venv .venv
  source .venv/bin/activate

Install required dependencies:

pip install -r requirements.txt

• or:

pip3 install -r requirements.txt

1. add machine learning models
   • Go to https://drive.google.com/drive/folders/1L-UlaPMUdI_u0AEjKQIcE9TReMveopUS and download all the '.pkl' files. These are the trained models.
   • Place the '.pkl' files into the app/models/ directory of this project.
2. add the historical dataset
   • Go to https://drive.google.com/drive/folders/1L-UlaPMUdI_u0AEjKQIcE9TReMveopUS and download the 'historical_data.csv' file.
   • Place the file in the home directory of your system. For example - /Users/lakshya in MacOS, C:\Users\lakshya in Windows, and /home/lakshya in Linux.

Run the Flask app with:

• On Windows:

  python app/app.py

• On macOS/Linux:

  python3 app/app.py

Visit http://127.0.0.1:5000/ in your browser to see the app.

1. Download XAMPP

   • Visit the official XAMPP website: https://www.apachefriends.org.
   • Choose the version suitable for your operating system.

2. Install XAMPP

   • Run the downloaded installer.
   • Follow the installation wizard to set up XAMPP on your machine.
   • Select the necessary components: typically Apache, MySQL, PHP, and phpMyAdmin.

3. Start XAMPP

   • Launch the XAMPP Control Panel.
   • Start the Apache and MySQL modules.

predictive-restaurant-inventory/
├── app/
│   ├── app.py
│   ├── db_config.py
│   ├── csv/
│   ├── models/
│   ├── static/
│   ├── templates/
│   └── training_and_diagnostics/
├── documentation/
│   └── images/          # Folder for documentation images, can add for ppt
├── .venv/                # Virtual environment
├── requirements.txt      # Python dependencies
└── README.md             # This file

• Flask command not found: Use python app/app.py instead of flask run.
• Virtual environment not activating: Ensure you use the correct command for your OS.
• mysqld.exe: Table '.\mysql\db' is marked as crashed and should be repaired: Copy the files db.frm, db.MAD, and db.MAI from C:\xampp\mysql\backup\mysql and replace them in C:\xampp\mysql\data\mysql.

• Always activate the virtual environment before running the app.
• Do not commit .venv/ to Git; it’s ignored via .gitignore.