AI-Powered Smart Health & Environment Monitoring using Nicla Sense ME and IoT

Step into the future of IoT innovation with this cutting-edge project powered by the Nicla Sense ME sensor! 🎯

💡 The Nicla Sense ME is a tiny powerhouse of Bosch’s environmental and motion sensors, making it perfect for creating next-gen smart solutions. In this project, students build a real-time health & environment monitoring system that captures:

• 🌬️ Air Quality & Pollution Levels (CO₂, VOC, humidity, temperature, pressure)

• ❤️ Smart Health Parameters (motion analysis for activity tracking, sleep patterns, and fall detection)

• 📲 IoT Cloud Integration (Google Cloud / AWS / Firebase for storing and visualizing sensor data)

• 🤖 AI & Machine Learning Models (trained on Google Colab to predict anomalies like unhealthy air conditions or irregular activities)

• 🔊 Smart Alerts (push notifications, email, or voice alerts via Google Assistant / Alexa)

🚀 This project is placement-oriented and showcases real-world industry applications in Smart Healthcare, Environmental IoT, and Wearable Tech. Students gain hands-on expertise in IoT, Edge AI, and Cloud platforms—skills highly valued by recruiters.

🎓 Perfect for:
✔ Academic submissions 📚
✔ Portfolio building 💼
✔ Internship and job interviews 🌟