Update README.md

Author: Programmer-RD-AI

README.md

@@ -1,41 +1,92 @@
-# NLP-Disaster-Tweets
+# NLPrescue: Intelligent Disaster Tweet Analysis System
 
-Predict which Tweets are about real disasters and which ones are not
+A machine learning project that uses Natural Language Processing (NLP) to identify and classify real disaster-related tweets from non-disaster tweets.
 
+## Overview
 
-## License
+TweetAlert is an intelligent system that helps emergency responders and disaster management teams quickly identify genuine disaster-related social media content. Using advanced machine learning techniques, it differentiates between tweets about actual emergencies (e.g., "Forest fire spreading near downtown!") and non-emergency tweets using similar language (e.g., "This new album is fire!").
 
-[MIT](https://choosealicense.com/licenses/mit/)
+## Project Structure
 
+```
+.
+├── .github/             # GitHub Actions workflows
+├── ML/                  # Core ML implementation
+│   ├── data/           # Training and test datasets
+│   ├── dataset/        # Data loading and processing
+│   ├── helper_functions/# Utility functions
+│   ├── modelling/      # Model implementations
+│   └── predictions/    # Model outputs
+├── tests/              # Test suite
+└── wandb/             # Weights & Biases logging
+```
 
-## Documentation
+## Features
 
-[Documentation]([https://linktodocumentation](https://www.kaggle.com/competitions/nlp-getting-started/data?select=train.csv))
+- Binary classification of tweets (disaster vs non-disaster)
+- PyTorch-based implementation
+- Multiple model architectures
+- Weights & Biases integration for experiment tracking
+- Comprehensive test coverage
+- GPU acceleration support
 
+## Requirements
 
-## Run Locally
+- Python 3.7+
+- PyTorch
+- torchvision
+- torchtext
+- pandas
+- numpy
+- scikit-learn
+- wandb
+- matplotlib
+- tqdm
 
-Clone the project
+## Installation
+
+1. Clone the repository
 
 ```bash
-  git clone https://link-to-project
+git clone https://github.com/Programmer-RD-AI/NLP-Disaster-Tweets.git
 ```
 
-Go to the project directory
+2. Install dependencies
 
 ```bash
-  cd my-project
+pip install -r requirements.txt
 ```
 
-Install dependencies
+## Usage
 
-```bash
-  npm install
+To train the model:
+
+```
+python run.py
 ```
 
-Start the server
+Monitor training progress in the Weights & Biases dashboard.
 
-```bash
-  npm run start
-```
+## Dataset
+
+The project uses two main datasets:
+
+- train.csv: Labeled tweets for training
+- test.csv: Unlabeled tweets for prediction
+
+Labels:
+
+- 1: Real disaster
+- 0: Not a real disaster
+
+## Contributing
+
+1. Fork the repository
+2. Create a feature branch
+3. Commit changes
+4. Push to the branch
+5. Open a pull request
+
+## License
 
+This project is licensed under the Apache License 2.0 - see the LICENSE file for details.