Energy Drink Detection App

A computer vision application that helps track energy drink consumption and provides hydration recommendations using hand gesture recognition.

Features

• Real-time hand gesture recognition
• Energy drink consumption tracking (1-5 drinks)
• Automatic water intake recommendations
• Visual feedback for hand tracking

Requirements

• Python 3.10
• Anaconda
• Webcam

Installation

1. Clone this repository:

git clone [your-repository-url]
cd Energy_drink_cv

2. Create and activate the conda environment:

conda create -n energy_drink python=3.10 -y
conda activate energy_drink

3. Install required packages:

pip install opencv-python mediapipe numpy

Usage

1. Run the program using the batch file:

   • Double-click run_program.bat

   OR

   Run manually in Anaconda Prompt:

   conda activate energy_drink
   python main.py

2. Show your hand to the camera:

   • 1 finger = 1 energy drink
   • 2 fingers = 2 energy drinks
   • 3 fingers = 3 energy drinks
   • 4 fingers = 4 energy drinks
   • 5 fingers = 5 energy drinks

3. The program will display:

   • Number of energy drinks detected
   • Recommended water intake
   • Hand tracking visualization

4. Press 'q' to quit the program

License

MIT License