Predictedge Intelligent ML For Strategic Decision Making

This project explores a new way to generate clean energy from sound vibrations in noisy places like party halls, urban areas, and factories. Using piezoelectric sensors, the system captures vibrations from loud sounds and converts them into electrical energy. An Arduino microcontroller collects this data and manages the energy, storing it in a lead-acid battery. The energy generated can be used to power small devices, such as lighting up an LED bulb when the voltage exceeds 12 volts. The system also has an LCD screen for real-time monitoring of the vibration data and energy output. We employ machine learning to evaluate vibration data and find patterns that aid in energy capture optimisation in order to increase the efficiency of this energy conversion. The data from the Arduino is processed on a laptop to create graphs, providing insights for better performance. This combination of hardware and software not only maximizes energy harvesting but also contributes to sustainable urban development, supporting global efforts toward clean and renewable energy sources.