Merge pull request #50 from PartyakshSaini/main

Create README.md

Author: devmalik7

Python/sign language/README.md

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+# 🖐️ Sign Language Detection using Machine Learning
+
+A real-time **Sign Language Detection System** built using **Computer Vision** and **Deep Learning** techniques to bridge the communication gap between the hearing-impaired community and others. This project recognizes hand gestures and converts them into readable **text** or **speech**.
+
+---
+
+## 🚀 Features
+
+- 🎥 Real-time hand gesture detection using a webcam  
+- 🤖 Deep Learning–based gesture recognition  
+- 💬 Converts signs into text (and optionally speech)  
+- 🌐 Easy to integrate into desktop or web applications  
+- 🧠 Customizable — train it for any sign language (ASL, ISL, etc.)
+
+---
+
+## 🧩 Tech Stack
+
+| Category | Tools/Technologies |
+|-----------|--------------------|
+| Programming Language | Python |
+| Libraries | OpenCV, TensorFlow/Keras, MediaPipe, NumPy |
+| Model Type | CNN / LSTM (for sequence-based gestures) |
+| Interface | Streamlit / Tkinter / Flask (optional for GUI) |
+
+---
+
+## ⚙️ How It Works
+
+1. **Capture Input** – The system takes live video feed from the webcam.  
+2. **Preprocess Frames** – Detects and isolates the hand region using MediaPipe or OpenCV.  
+3. **Feature Extraction** – Extracts important features like hand landmarks or contours.  
+4. **Model Prediction** – A trained deep learning model classifies the gesture.  
+5. **Output** – The recognized sign is displayed as text (and optionally spoken aloud).
+
+---
+
+## 🧠 Model Training
+
+1. **Dataset Collection:**  
+   Capture multiple images of each gesture (A–Z or custom words).  
+2. **Data Preprocessing:**  
+   Resize images, normalize pixel values, and apply augmentation.  
+3. **Model Architecture:**  
+   A CNN model is trained on labeled gesture data.  
+4. **Evaluation:**  
+   Test the model on unseen gestures and fine-tune parameters.
+
+---
+
+## 🖥️ Installation & Usage
+
+### 1. Clone the Repository
+```bash
+git clone https://github.com/your-username/sign-language-detection.git
+cd sign-language-detection