The FIDOway app is an innovative solution designed to detect and manage water leaks with precision and efficiency. By connecting to sensors via Bluetooth, the app collects real-time data on water flow and pressure. Utilizing advanced AI algorithms, including regression and classification models, FIDOway accurately predicts the size of leaks and identifies their locations. This technology not only streamlines the detection process but also significantly reduces water wastage and the costs associated with leak repairs.

Tasks for Achieving This

1. Sensor Integration: Develop and test the app’s ability to connect with IoT sensors via Bluetooth, ensuring stable and secure data transmission.

2. AI Model Development: Design and train AI regression models to estimate leak sizes and classification models to pinpoint leak occurrences, using historical data and real-time inputs.

3. User Interface Design: Create an intuitive user interface that displays leak information clearly, including size, location, and recommended actions for repair teams.

4. Testing and Validation: Conduct comprehensive testing to validate the accuracy of AI predictions and the app’s overall performance in various environments.

5. Feedback Loop Implementation: Implement a system for collecting user feedback and sensor data to continuously refine AI models and app functionality.

Expected Result

Upon successful implementation, the FIDOway app is expected to:

• Provide real-time, accurate detection of water leaks, significantly reducing the time and resources currently required for leak identification and repair.

• Offer predictive insights on potential leak sizes, allowing for more effective resource allocation and repair planning.

• Enhance operational efficiency for water management teams through a user-friendly dashboard, improving response times and reducing water loss.

• Continuously improve leak detection capabilities through machine learning, adapting to new patterns and environmental changes over time.