EcoWhisper leverages AI algorithms to integrate data from existing smart meters and publicly available utility data sources.

Users connect their home utility accounts to the platform, granting access to usage data.

The AI processes this information, cross-referencing it with typical appliance usage patterns and behavioral data available via machine learning models.

The platform offers an intuitive interface displaying real-time, appliance-level estimates of resource consumption, usage patterns, and specific waste points.

AI-driven suggestions are generated to help users reduce consumption based on their habits and previous usage history.

Unlike traditional setups that require expensive retrofitting or complex data interpretation, EcoWhisper uses existing infrastructure to provide granular, actionable insights in real-time.

It empowers homeowners with personalized recommendations to reduce waste and costs without needing to hire specialists or install costly hardware.

The solution relies on existing smart meter technology and cloud computing.

The main technical challenge is developing robust AI algorithms that accurately estimate appliance-level consumption using available data.

Privacy and data security will be a top priority, adhering to GDPR regulations.

Initial development costs are manageable, focusing on software development and securing utility partnerships.