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Sign Language Letter Recognition Project

Overview

This project implements various artificial neural network techniques:

  • the simple perceptron
  • Perceptron using the gradient descent learning technique
  • Perceptron using the ADALINE learning technique
  • Single-layer perceptron
  • Multi-layer perceptron

Project Structure

SignLanguageRecognition/
├── src/
│   ├── datas/                    # CSV
│   ├── perceptron/               # Directory with different perceptron
└── README.md                      # Project documentation

Web Application

The web application is implemented in app.py using Flask. It allows users to:

  • Select kind of Algorithm and script.

How to Run

1. Clone the Repository

git clone <repository-url>
cd PerceptronMethods

2. Install Dependencies

Once your requirements.txt file is ready, you can install all the dependencies with a single command:

pip install -r requirements.txt

3. Run the Web Application

Start the Flask server to launch the web application:

python src/perceptron/app.py

Collaborators

This project was developed by the following team members: