MFCOptimizer Pilot is a lightweight, browser-based simulation tool designed to help researchers, engineers, and students optimize Microbial Fuel Cell (MFC) performance in real time. Powered by AI and TensorFlow.js, the platform allows users to input key bioelectrochemical parameters such as temperature, pH, substrate concentration, resistance, and electrode area. The system then simulates or predicts output power and performance metrics. This enables rapid prototyping and parameter tuning without the need for extensive lab experiments.
Built with modularity and field-deployability in mind, MFCOptimizer Pilot is intended as a foundational control interface for future smart MFC systems that integrate IoT sensors, feedback loops, and microcontrollers for autonomous optimization.
 
You can access the web version of the software through the Link: https://alnu0001.github.io/MFCOptimizerpilot/