To develop SpectroGLY, an affordable IoT-based system for detecting glyphosate residues in water using spectral analysis and advanced sensors. The system aims to enable real-time monitoring and promote safe water quality management
This project presents a low-cost IoT-based system for detecting glyphosate contamination in water using an optical sensing approach. A UV-Vis LED is used as a light source to pass light through the water sample, where the presence of glyphosate (after suitable chemical reaction) causes a change in light intensity. An LDR sensor measures the transmitted light and converts it into an electrical signal, which is processed by the ESP32 Development Board. The measured values are displayed in real time on a 16x2 LCD Display, while a Piezo Buzzer provides alerts when contamination exceeds predefined limits. Additional parameters such as temperature and pH can be monitored to improve accuracy. The processed data is transmitted over Wi-Fi and uploaded to the ThingSpeak cloud for remote monitoring and analysis. This system offers a simple, portable, and cost-effective solution for real-time water quality monitoring, making it suitable for environmental monitoring, agricultural applications, and public health safety.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

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