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Using advanced computer vision and machine learning techniques, our system provides real-time fall detection capabilities, helping caregivers respond quickly to potential emergencies.\n\n## 🎥 Demo Videos\n\n### Normal Activity Detection\n\n\nhttps://github.com/user-attachments/assets/05fe96a0-6768-4b43-b352-2e55a2f669e3\n\n\n*Video showing normal activities being correctly identified*\n\n### Fall Detection in Action\n\n\nhttps://github.com/user-attachments/assets/b85a9054-84de-4a9e-a6ca-461a931f6cdc\n\n*Video demonstrating successful fall detection scenarios*\n\n## ✨ Key Features\n\n- **Real-time Fall Detection**: Instant identification of fall events using advanced computer vision\n- **High Accuracy**: Sophisticated machine learning model trained on diverse scenarios\n- **Low False Positives**: Intelligent algorithm to differentiate between actual falls and normal movements\n- **Privacy-Focused**: All processing done locally, ensuring user privacy\n- **Easy Integration**: Simple setup process for various monitoring systems\n\n## 🛠️ Technical Stack\n\n- **Computer Vision**: OpenCV for real-time video processing\n- **Machine Learning**: TensorFlow for fall detection model\n- **Video Processing**: Advanced frame analysis and motion detection\n- **Alert System**: Immediate notification system for detected falls\n\n## 📋 Prerequisites\n\n- Python 3.8 or higher\n- OpenCV\n- TensorFlow\n- CUDA-compatible GPU (recommended for optimal performance)\n\n## 🚀 Getting Started\n\n1. Clone the repository:\n```bash\ngit clone https://github.com/Abelboby/wisecare-fall_detection_model.git\ncd wisecare-fall_detection_model\n```\n\n2. Install dependencies:\n```bash\npip install -r requirements.txt\n```\n\n3. Run the application:\n```bash\npython main.py\n```\n\n## 📊 Performance Metrics\n\n- Detection Accuracy: \u003e95%\n- Response Time: \u003c1 second\n- False Positive Rate: \u003c2%\n\n## 🤝 Contributing\n\nWe welcome contributions! Please feel free to submit a Pull Request.\n\n## 📝 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## 👥 Team\n\n- Project Lead: [Parthav Povil]\n- Contributors: [Abel Boby, Adwaith Jayasankar]\n\n## 📞 Support\n\nFor support, please open an issue in the GitHub repository or contact [support email].\n\n---\n\u003cp align=\"center\"\u003eMade with ❤️ by WiseCare Team\u003c/p\u003e \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkichuman28%2Fwisecare-fall_detection_model","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkichuman28%2Fwisecare-fall_detection_model","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkichuman28%2Fwisecare-fall_detection_model/lists"}