# 🛡️ Smart Helmet Project ## Overview The **Smart Helmet** is a wearable safety device designed to protect and assist users in high-risk environments such as motorcycling, construction, and industrial work. It integrates **sensors, AI, and cloud connectivity** to detect accidents, monitor drowsiness, and provide real-time alerts. This project was developed for a **24-hour hackathon**, focusing on **accuracy, explainability, and demo-ready visualization** to impress judges with both technical depth and societal impact. --- ## ✨ Features - **Impact Detection**: Accelerometers and gyroscopes detect crashes or falls. - **Emergency Alerts**: Sends GPS location and status to emergency contacts. - **Drowsiness Monitoring**: Eye-tracking cameras + ML models to detect fatigue. - **Environmental Awareness**: Gas, temperature, and air-quality sensors. - **Connectivity**: Bluetooth/Wi-Fi for communication and navigation. - **Explainable AI**: Heatmaps and anomaly visualization for transparency. - **Dashboard UI**: Real-time sensor data displayed via Streamlit/React. --- ## ⚙️ System Architecture 1. **Hardware Layer** - Helmet with sensors (accelerometer, gyroscope, camera, gas sensor). - Raspberry Pi/Arduino for edge data collection. 2. **AI Layer** - Drowsiness detection using OpenCV + dlib. - Anomaly detection with deep learning models. - Visualization with heatmaps for explainability. 3. **Cloud Integration** - Azure/GCP for storage, dashboards, and emergency notifications. - APIs built with FastAPI/Flask for backend services. 4. **Frontend** - Streamlit/React dashboard for judges and demo interaction. - Firebase Hosting or Cloud Run for deployment. --- ## 🚀 Getting Started ### Prerequisites - Python 3.8–3.12 - Libraries: `opencv-python`, `dlib`, `numpy`, `matplotlib`, `tensorflow/keras` - Hardware: Raspberry Pi/Arduino, sensors, helmet prototype ### Installation ```bash # Clone the repository git clone https://github.com/your-username/smart-helmet.git cd smart-helmet # Install dependencies pip install -r requirements.txt
