📌 Project Description

Ishara is a real-time sign language translator that bridges the communication gap between sign language users and non-signers. It leverages machine learning and computer vision to recognize sign language gestures and convert them into text.

👥 Team Members

• Sree Hari A - Frontend Developer
• Afsal Shaji - Backend Developer
• Abdul Ahad S - ML Model Training
• Siddharth Nair - Creatives

🛠️ Technologies Used

• Frontend: Next.js, React, Tailwind CSS
• Backend: Python
• Frameworks: Mediapipe, TensorFlow

🔧 Installation

Clone the Repository

git clone https://github.com/afsaldigitalart/ishara-sign-language-translator.git
cd ishara-sign-language-translator

Frontend Setup

cd frontend
npm install
npm run dev

Backend Setup

cd backend
pip install -r requirements.txt
python app.py

🚀 Usage Guide

1. Open your browser and navigate to http://localhost:3000
2. Use the interface to start translating sign language gestures into text
3. Ensure your webcam is enabled for real-time gesture recognition

📷 Screenshots

Main UI

Detection UI