Update README.md

README.md

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 This model converts unstructured hotel guest reviews into **clean, machine‑readable JSON**, enabling automated complaint routing, severity detection, and service analytics.
 
+This model is designed to bridge the gap between unstructured guest feedback and actionable hotel operations by converting free-text reviews into structured JSON. While raw sentiment alone offers limited operational value, structured outputs enable hotels to systematically understand what went wrong, how severe the issue is, and which department is responsible. By transforming subjective guest language into consistent machine-readable signals, the model allows reviews to be automatically routed, aggregated, and analyzed at scale. This structure makes it possible to power downstream systems such as issue-tracking workflows, operational dashboards, AI hotel agents, and real-time escalation logic. In practice, the model enables hotels to move from passive review monitoring to proactive service recovery, where guest feedback directly informs decisions, prioritization, and automated responses across housekeeping, engineering, and front-office teams.
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 ## 🎯 Intended Use