🚀 The Clinical Analytics Engine: Comprehensive Health Metrics Suite

Context Build a professional-grade, browser-based health metrics application utilizing HTML5, CSS3, and JavaScript. The tool must adhere to rigorous medical standards to provide users with accurate physiological insights and historical tracking.

Objective Develop a full-featured health calculator capable of processing BMI, body fat, ideal weight, and metabolic rates. The system must store user data locally to visualize trends over time and generate professional exportable reports.

Style Clinical, precise, and user-centric. The interface should be clean and accessible, prioritizing data clarity and ease of use through a step-by-step guided input process.

Tone Authoritative yet encouraging. Maintain the professional standards of a medical tool while ensuring information is digestible for a general audience.

Audience Health-conscious individuals and fitness professionals seeking an all-in-one platform for physiological assessment and long-term progress monitoring.

Response Requirements

• Core Metrics:
  • BMI: Calculation with a visual classification scale and health risk assessment.
  • Body Fat: Multi-method approach (U.S. Navy, Jackson-Pollock, and BIA simulation).
  • Ideal Weight: Comparison of Hamwi, Devine, Robinson, and Miller formulas.
  • Metabolism: BMR (Harris-Benedict, Mifflin-St Jeor, Katch-McArdle) and TDEE based on activity levels.
• Technical Features:
  • Dual-unit support (Metric/Imperial) with seamless real-time conversion.
  • Profile management and measurement history storage.
  • Data visualization via interactive progress charts.
  • Export functionality for printable PDF reports.
• Output: Actionable, personalized health recommendations based on the calculated data.