01 · APPLIED MACHINE LEARNING
Making water-quality information clearer.
A mobile application combining machine learning for water-potability assessment, conversational AI, and data visualization to help users interpret water-quality information.
Explore the project
My contribution
Developed the mobile application with a Python Flask backend, integrating ML-based assessment, conversational AI, and visual explanations.
Technology in context
Flutter supports the mobile experience. Python, scikit-learn and Pandas support the machine learning and data work, with Flask providing the backend and the OpenAI API supporting conversational AI.
