Update README.md

README.md

@@ -2,8 +2,8 @@
 title: Sign Language Detector Pro
 emoji: 🚀
 colorFrom: red
-colorTo: red
-sdk: docker
+colorTo: yellow
+sdk: streamlit
 app_port: 8501
 tags:
 - streamlit
@@ -12,9 +12,152 @@ short_description: Streamlit template space
 license: mit
 ---
 
-# Welcome to Streamlit!
+# Sign Language Detector Pro
 
-Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
+An advanced Python application for detecting and interpreting sign language gestures from images and videos. Features cutting-edge computer vision using MediaPipe for hand landmark detection, AI-powered gesture classification via OpenAI API, and a modern web interface for professional analysis and reporting.
 
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
+## ✨ Enhanced Features
+
+### 🎯 Core Functionality
+- **Advanced Hand Detection**: MediaPipe-powered 21-point hand landmark detection
+- **AI Gesture Classification**: OpenAI API integration for accurate sign language interpretation
+- **Batch File Processing**: Support for multiple images and videos simultaneously
+- **Professional Analytics**: Interactive charts, confidence metrics, and detailed analysis
+
+### 🎨 Modern Web Interface
+- **Professional Design**: Modern, responsive UI with gradient themes and animations
+- **Interactive Visualizations**: 3D hand landmark plots, confidence charts, and timeline analysis
+- **Multiple Export Formats**: JSON, CSV, and PDF report generation
+- **Real-time Progress Tracking**: Enhanced progress indicators and status updates
+
+### 📊 Advanced Analytics
+- **Confidence Scoring**: Detailed confidence metrics for all detections
+- **3D Visualization**: Interactive 3D plots of hand landmarks
+- **Timeline Analysis**: Frame-by-frame video processing with visual timelines
+- **Comparison Views**: Side-by-side before/after image comparisons
+
+## Setup
+
+1. Clone the repository
+2. Create a virtual environment:
+   ```bash
+   python -m venv venv
+   source venv/bin/activate  # On Windows: venv\Scripts\activate
+   ```
+
+3. Install dependencies:
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+4. Set up environment variables:
+   ```bash
+   cp .env.example .env
+   # Edit .env and add your OpenAI API key
+   ```
+
+## Usage
+
+### Enhanced Command Line Interface
+```bash
+# File processing mode (camera functionality removed)
+python3 main.py --input path/to/video.mp4
+
+# Batch processing with output directory
+python3 main.py --input path/to/directory --output results/
+
+# Disable speech output
+python3 main.py --input path/to/image.jpg --no-speech
+```
+
+### Professional Web Interface
+```bash
+streamlit run app.py
+```
+**Features:**
+- Drag-and-drop file upload
+- Batch processing with progress tracking
+- Interactive 3D visualizations
+- Multiple export formats (JSON, CSV, PDF)
+- Real-time analytics dashboard
+
+### Demo Mode (No API Key Required)
+```bash
+python3 demo.py
+```
+
+## Project Structure
+
+- `main.py` - Main application entry point
+- `app.py` - Streamlit GUI application
+- `src/` - Source code modules
+  - `hand_detector.py` - Hand landmark detection
+  - `gesture_extractor.py` - Gesture feature extraction
+  - `openai_classifier.py` - OpenAI API integration
+  - `camera_handler.py` - Real-time camera processing
+  - `file_handler.py` - File input processing
+  - `output_handler.py` - Text and speech output
+- `tests/` - Unit tests
+- `examples/` - Example videos and images
+
+## Requirements
+
+- Python 3.8+
+- OpenAI API key (for gesture classification)
+- Webcam (for real-time mode)
+
+## Quick Start
+
+1. **Test without API key (Demo mode):**
+   ```bash
+   python3 demo.py
+   ```
+   This will show hand detection and gesture analysis without requiring an OpenAI API key.
+
+2. **Set up OpenAI API key:**
+   ```bash
+   cp .env.example .env
+   # Edit .env and add: OPENAI_API_KEY=your_key_here
+   ```
+
+3. **Run real-time detection:**
+   ```bash
+   python3 main.py --mode realtime
+   ```
+
+4. **Process a video file:**
+   ```bash
+   python3 main.py --mode file --input examples/sample_video.mp4
+   ```
+
+5. **Launch web interface:**
+   ```bash
+   streamlit run app.py
+   ```
+
+## 🚀 Enhanced Features Delivered
+
+### ✅ Core Processing
+- **Advanced Hand Detection** - MediaPipe 21-point landmark detection with enhanced visualization
+- **AI-Powered Classification** - OpenAI API integration with confidence scoring
+- **Batch File Processing** - Simultaneous processing of multiple images and videos
+- **Professional Analytics** - Comprehensive metrics and statistical analysis
+
+### ✅ Modern Web Interface
+- **Responsive Design** - Professional UI with gradient themes and animations
+- **Interactive Visualizations** - 3D hand plots, confidence charts, timeline analysis
+- **Multiple Export Formats** - JSON, CSV, and PDF report generation
+- **Real-time Progress** - Enhanced progress tracking with detailed status updates
+
+### ✅ Advanced Analytics
+- **3D Visualization** - Interactive 3D hand landmark plots
+- **Timeline Analysis** - Frame-by-frame video processing visualization
+- **Confidence Metrics** - Detailed confidence scoring and analysis
+- **Comparison Views** - Side-by-side before/after image comparisons
+- **Summary Reports** - Comprehensive processing statistics and insights
+
+### ✅ User Experience
+- **Drag-and-Drop Upload** - Intuitive file upload with visual feedback
+- **Settings Panel** - Configurable detection parameters
+- **Error Handling** - User-friendly error messages and recovery
+- **Export Functionality** - Multiple format options for results