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Low-cost ML-Based Water Contamination Detection & Treatment
Team: SAPH.Ai
Project Details
Project Description: This project addresses critical water contamination challenges by developing an affordable, modular device for rapid detection and treatment guidance. Utilizing the Pictoblox machine learning environment, we trained an image detection model to directly identify pollutants like microplastics, iron, and microfibers from water samples. The system integrates with a macro camera, enabling real-time analysis. The solution bypasses complex coding by simplifying data labeling and model training through Pictoblox's intuitive interface, making it accessible for resource-limited communities. The device offers cost-effective, on-site testing, reducing reliance on expensive lab processes, and directs targeted water purification strategies. This innovation promises to improve public health and inspire scalable water quality management in Bangladesh and beyond.
Project Theme: Life Below Water and Life on Land
Project Category: AI and ML Projects, Hardware Projects
