Mobile-first Energy usage prediction app for hospitals

A fast, offline-friendly mobile app that puts energy usage prediction in the pocket of every one of hospitals.

Target audience

Hospitals

Problem solved

Many hospitals struggle with energy usage prediction because existing options are expensive, complicated, or not designed for them.

Solution

Launch as a lean web app using Python, Vector databases and scikit-learn, starting with one core workflow done exceptionally well.

Technologies

Python, Vector databases, scikit-learn

Monetization

AI consulting; Custom model training

Challenges

Privacy compliance; Shortage of ML talent

Improvements

Add API access so other businesses can integrate with the platform.; Publish case studies and testimonials to build trust quickly.