Update README.md

README.md

@@ -1,8 +1,8 @@
 ---
-title: LabelIt! Multilingual Image Labeling
+title: LabelIt! 🇮🇳 - Enhanced Multilingual Image Labeling
 emoji: 🏷️
 colorFrom: blue
-colorTo: green
+colorTo: red
 sdk: streamlit
 sdk_version: 1.47.0
 app_file: app.py
@@ -10,81 +10,61 @@ pinned: false
 license: mit
 ---
 
-# LabelIt! 🇮🇳 - Multilingual Image Labeling Platform
-A collaborative web application for multilingual image labeling built with Streamlit. Users can upload images and add labels in multiple languages, creating a rich multilingual dataset.
-
-## Features
-
-- **Multilingual Support**: English, Hindi (हिन्दी), and Telugu (తెలుగు)
-- **User Authentication**: Registration and login system with detailed profiles
-- **Image Upload**: Support for PNG, JPG, JPEG, GIF formats (max 10MB)
-- **Automatic Location Capture**: GPS coordinates captured on login
-- **Category System**: Organize images by Animals, Food, Objects, Nature, People, Transportation
-- **Collaborative Labeling**: Users can add alternative labels in different languages
-- **Instagram-style Feed**: Browse and label existing images
-- **Responsive Design**: Mobile-friendly interface
-
-## Installation
-
-1. Clone or download this repository
-2. Install Python 3.8 or higher
-3. Install dependencies:
-   ```bash
-   pip install streamlit pillow
-   ```
-
-## Running the Application
-
-1. Navigate to the project directory
-2. Run the Streamlit app:
-   ```bash
-   streamlit run app.py --server.port 5000
-   ```
-3. Open your browser and go to `http://localhost:5000`
-
-## Usage
-
-1. **Register**: Create an account with your details and language preference
-2. **Login**: Access the application with your credentials
-3. **Location**: Allow location access for automatic GPS coordinate capture
-4. **Upload Images**: Add images with titles, descriptions, categories, and initial labels
-5. **Browse Feed**: View uploaded images and add alternative labels in different languages
-6. **Collaborate**: Contribute translations and additional labels to existing images
-
-## Data Storage
-
-- User data stored in `data/users.json`
-- Image metadata and labels in `data/labels.json`
-- Uploaded images saved in `data/images/` directory
-
-## File Structure
-
-```
-label-it/
-├── app.py                 # Main Streamlit application
-├── translations.py        # Multilingual translation system
-├── utils.py              # Utility functions
-├── pyproject.toml        # Project dependencies
-├── README.md             # This file
-├── .streamlit/
-│   └── config.toml       # Streamlit configuration
-└── data/                 # Data storage directory
-    ├── users.json        # User accounts
-    ├── labels.json       # Image metadata and labels
-    └── images/           # Uploaded image files
-```
-
-## Contributing
-
-1. Fork the repository
-2. Create a feature branch
-3. Make your changes
-4. Submit a pull request
-
-## License
-
-MIT License - feel free to use and modify for your projects.
-
-## Support
-
-For issues or questions, please create an issue in the repository or contact the development team.
+# LabelIt! 🇮🇳 - Enhanced Multilingual Image Labeling Platform
+
+A comprehensive collaborative image labeling web application built with Streamlit, featuring advanced geolocation, real-time analytics, and support for 12+ Indian languages.
+
+## ✨ Enhanced Features
+
+### 🌍 Advanced Geolocation System
+- **High-precision GPS capture** with enhanced retry mechanism (3 attempts)
+- **Extended location metadata** including altitude, heading, speed
+- **IP-based location fallback** with city/country detection
+- **Manual coordinate input** for complete coverage
+- **Accuracy classification** (High ≤10m, Medium ≤50m, Low >50m)
+- **Multiple capture methods** tracked (GPS/IP/Manual)
+- **Real-time location validation** and comprehensive error handling
+- **Fresh coordinates** required for each upload for dataset quality
+
+### 📊 Comprehensive Real-time Analytics Dashboard
+- **Live statistics counters** for contributors, images, labels, and languages
+- **Location-based analytics** with GPS data coverage tracking
+- **GPS accuracy level distribution** (High/Medium/Low)
+- **Location capture method breakdown** (GPS/IP/Manual)
+- **Geographic distribution** with top countries/regions
+- **Language usage breakdown** with percentages across 13 Indian languages
+- **Category distribution analysis** for all content types
+- **User contribution tracking** with detailed profiles
+
+### 🗣️ Comprehensive Indian Language Support
+- **English** (English)
+- **हिन्दी** (Hindi)
+- **తెలుగు** (Telugu)
+- **தமிழ்** (Tamil)
+- **বাংলা** (Bengali)
+- **ગુજરાતી** (Gujarati)
+- **मराठी** (Marathi)
+- **ಕನ್ನಡ** (Kannada)
+- **മലയാളം** (Malayalam)
+- **ਪੰਜਾਬੀ** (Punjabi)
+- **ଓଡିଆ** (Odia)
+- **অসমীয়া** (Assamese)
+- **اردو** (Urdu)
+
+### 🔧 Core Features
+- **User Authentication** with detailed profile management
+- **Image Upload** with validation (PNG, JPG, JPEG, GIF, max 10MB)
+- **Category System** (Animals, Food, Objects, Nature, People, Transportation)
+- **Instagram-style Feed** for browsing community uploads
+- **Collaborative Labeling** in multiple languages
+- **Location-aware Uploads** with GPS coordinates
+
+## 🚀 Quick Start
+
+### Running Locally
+```bash
+# Install dependencies
+pip install streamlit pillow
+
+# Run the application
+streamlit run app.py