Smart Sentiment analysis tracker for hospitals

A smart tracking tool that helps hospitals monitor, manage and improve sentiment analysis with reminders and progress reports.

Target audience

Hospitals

Problem solved

Many hospitals struggle with sentiment analysis 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

Usage-based API pricing; SaaS subscriptions

Challenges

Shortage of ML talent; Keeping models updated

Improvements

Build an analytics dashboard so users can measure their ROI clearly.; Introduce tiered pricing with a free starter plan to lower adoption friction.