EcoMotion
Where AI meets Vision to tell the climate story written in every leaf.
Under Green X Hackathon 2025 Eco-Club, NIT SIlchar.
EcoMotion: AI-Powered Environmental Intelligence is a cutting-edge platform that empowers users to monitor, predict, and adapt to climate-driven changes in vegetation and wind patterns. By integrating AI, IoT sensors, drones, and satellite data, EcoVisionaries delivers real-time insights and actionable recommendations to protect ecosystems, optimize agriculture, and prevent environmental disasters. The platform enables users to track soil moisture, temperature, and nutrient levels with smart sensors, assess vegetation health using hyperspectral drone imaging, and analyze wind and pollution patterns. Advanced AI models forecast risks such as wildfires, droughts, crop stress, and pest outbreaks, while interactive tools simulate potential scenarios like storm damage or soil erosion. Users receive automated alerts when thresholds are breached, access dynamic risk maps highlighting vulnerable zones, and get AI-driven advice for sustainable action—such as adopting drought-resistant crops or implementing fire prevention measures. Whether you're a farmer aiming to boost yields, a forest manager working to prevent wildfires, or an urban planner combating heat islands, EcoVisionaries transforms complex environmental data into clear, actionable intelligence—so you can explore smarter and act faster.
EcoMotion is an AI-powered environmental intelligence platform that integrates IoT sensors, hyperspectral imaging, edge computing, and web dashboards to monitor and predict climate impacts on vegetation and wind patterns. The system uses devices like Jetson Nano, LoRaWAN gateways, and drone-mounted sensors to provide real-time data, anomaly detection, and actionable insights through an interactive web interface. For implementation details, technologies used, and architecture, please refer to the full document.
- • AI/ML Models for Vegetation Health and Wind Pattern Forecasting
- • IoT-Enabled Environmental Monitoring and Smart Sensing
- • Hyperspectral Imaging for Crop Stress and Biochemical Analysis
- • Edge Computing with Jetson Nano for Real-Time Alerts
- • Web-Based Dashboards for Climate and Agricultural Data
- • Integration of Satellite and UAV Data Streams
- • Drought, Wildfire, and Pest Outbreak Prediction
- • Anomaly Detection in Time-Series Environmental Data
- • LoRaWAN and NB-IoT Infrastructure for Field Connectivity
- • Scenario Planning and Simulation for Climate Risk Mitigation
For complete technical architecture, workflows, and implementation specifics, please refer to the attached document.
EcoVisionaries is an AI-powered environmental intelligence platform designed to monitor, predict, and respond to climate-driven changes in vegetation and wind patterns. It integrates IoT sensors, hyperspectral drone and satellite imaging, edge computing (Jetson Nano), and interactive web dashboards to provide real-time insights and early warnings. The platform supports applications in precision agriculture, wildfire prevention, and sustainable land management through data-driven decision-making and adaptive alerts.