Virtual Booth

NovaSensor is an integrated IoT and AI system designed to revolutionize plant care through real-time health monitoring and intelligent water management. The system combines an ESP32 microcontroller, ESP32-CAM, and a suite of sensors (LDR, DHT11, and soil moisture sensor) to continuously track key environmental parameters.

Using AI image classification (via Teachable Machine), NovaSensor can detect early signs of plant stress or disease from camera inputs. In parallel, machine learning models analyze multi-sensor data trends to predict optimal watering schedules, preventing both overwatering and underwatering.

The collected data is seamlessly integrated into a Blynk mobile app, providing users with real-time notifications, actionable recommendations, and remote system control. By combining computer vision, predictive analytics, and IoT connectivity, NovaSensor empowers gardeners, urban farmers, schools, and plant enthusiasts to care for plants smarter, easier, and on time.

This project demonstrates how AI-driven decision-making can enhance sustainability, reduce resource wastage, and promote healthier ecosystems in both domestic and urban agriculture settings.