Nicla Sense ME-based IoT and Deep Learning System for Comprehensive Environmental and Motion Monitoring
Original price was: ₹16,500.₹13,500Current price is: ₹13,500.
This project introduces an advanced monitoring system using Nicla Sense ME for comprehensive tracking of environmental parameters and motion activities. With IoT integration, the system captures real-time data on temperature, humidity, air pressure, gas levels, and motion dynamics, sending the information to a cloud platform for seamless access and long-term analysis.
Deep learning algorithms analyze environmental and motion data to detect anomalies, predict trends, and provide actionable insights. This system is highly beneficial for environmental researchers studying climate patterns, industrial safety managers monitoring hazardous conditions, and fitness enthusiasts tracking motion metrics. Alerts for unusual conditions and personalized recommendations ensure effective decision-making.
A user-friendly mobile app offers live monitoring, historical data visualization, and tailored insights, empowering users to create safer and more optimized environments.
Key Features:
- Real-time environmental and motion monitoring with IoT-enabled connectivity.
- Deep learning-powered trend analysis, anomaly detection, and predictive insights.
- Cloud-based data storage for comprehensive tracking and reporting.
- Mobile app with live updates, alerts, and actionable insights.
This project includes source code, complete hardware setup, detailed analysis, and a 200-page project report in soft copy, making it an excellent choice for students exploring IoT and AI applications in environmental monitoring and motion tracking.
