HandGesture-based-Food-Ordering-System

The hand gesture-based food ordering system addresses several critical issues in the realm of dining and customer service. First, it tackles the challenge of language barriers and communication difficulties between customers and restaurant staff, which can often lead to order inaccuracies and misunderstandings. By enabling customers to place orders using intuitive hand gestures, the system eliminates the need for verbal communication, ensuring accurate and seamless transactions

Secondly, the system enhances accessibility for individuals with speech impairments or those who may face challenges in verbally communicating their orders. This inclusivity ensures that all patrons can quickly and confidently place their orders without relying on external assistance.

Algorithms used:

Hybrid of

CNN and
Decision Tree

Let's look at a step-by-step guide on how to exeute this project

Here's a list of required installations and libraries:

Python:
- You're using Python scripts, so Python needs to be installed on your system.
Flask:
- Your server is built using Flask.
```
pip install Flask
```
Flask-SocketIO:
- To handle real-time communication between the server and client.
```
pip install Flask-SocketIO
```
OpenCV (cv2):
- For image and video processing.
```
pip install opencv-python
```
MediaPipe:
- We are using MediaPipe for hand gesture recognition.
```
pip install mediapipe
```
Socket.io JavaScript Client:
- This will be included in the frontend to facilitate real-time communication. We're including it from a CDN in the HTML.
Joblib:
- For loading saved machine learning models.
```
pip install joblib
```
TensorFlow or Keras:
- We're loading a model (load_model). Depending on how this function is defined, it likely requires TensorFlow or Keras.
```
pip install tensorflow
```
Numpy:
- Often used with OpenCV and other numerical operations.
```
pip install numpy
```
Werkzeug:

Werkzeug is used internally by Flask, but you might need to install it explicitly if using specific features.

pip install Werkzeug

Web Browser:

To view the web interface of your application.

Lastly, remember to regularly update your libraries to get bug fixes and improvements, but also be cautious about compatibility issues when updating.

azam-md / handgesture-based-food-ordering-system Goto Github PK