Analyze and Optimize Health Goals

Analyzes health-goal data to validate goal quality, track progress, and manage habit formation and motivation, producing personalized goal-management advice. Its eight functions: SMART-goal validation (scoring each of Specific, Measurable, Achievable, Relevant, and Time-bound from 1-5, with an overall S/A/B/C grade and improvement suggestions - e.g. flagging a 6-month, 5kg weight-loss goal as a 4.8/5 "A" with a suggested milestone every two months); progress tracking (completion percentage, time-elapsed ratio, velocity, and trend, rated excellent, normal, behind, or severely behind); habit-formation analysis mapped to five stages by day count - days 1-7 startup (easiest to quit), 8-21 formation, 22-30 consolidation, 31-66 habit, 67+ fully automatic - tracking streaks, completion rate, and a 1-10 habit-strength score; motivation assessment (a 1-10 score, intrinsic/extrinsic/social factors, low-point detection tied to known risk windows at weeks 2-3, months 1-2, and past month 3); an achievement system unlocking goal-related, habit-related, and combined badges; obstacle identification across five categories - time, motivation, environment, ability, physical - each with matched suggestions; and correlation analysis linking a goal, such as weight loss, to nutrition, exercise, and sleep data via Pearson correlation, regression, and trend matching.

def validate_smart_goal(goal):
    scores = {
        'specific': check_specificity(goal),
        'measurable': check_measurability(goal),
    }

It also generates HTML visualization reports with ECharts - a progress-trend line chart, a habit calendar heatmap, a multi-goal comparison ring chart, and a motivation trend chart - responsive and theme-switchable, running fully offline with no network dependency.

Use it to evaluate whether a health goal meets SMART criteria, track progress and correlate it with nutrition, exercise, or sleep data, or get goal-optimization advice, risk flags, and staged adjustment plans for personal health management.

Its medical safety boundary is explicit: it can assist with goal-setting, progress and pattern tracking, general improvement advice, and visualization; it cannot diagnose, prescribe treatment, replace professional medical advice, or handle eating disorders or compulsive behavior. It flags danger signals - a weight-loss target over 1 kg per week, a weight-gain target over 0.5 kg per week, extreme calorie restriction under 1200 per day, excessive exercise over 2 hours daily for all 7 days a week, completion under 30% for three weeks, or motivation under 3 for two weeks - and recommends consulting a doctor, dietitian, or fitness professional accordingly.

Input: a health-goals tracker file, daily logs, and correlated nutrition and fitness data. Output: a SMART-score breakdown and grade, a progress and trend report, a habit-streak and strength assessment, a motivation trend with low-point warnings, unlocked achievements, identified obstacles with solutions, correlation findings, and an interactive HTML report with ECharts visualizations.

Reads from and correlates with existing nutrition-tracker and fitness-tracker modules within the same health-tracking system, rendering reports with the ECharts 5.x charting library.

Users who want their health goals validated against SMART criteria and tracked with data-driven habit, motivation, and correlation insights, not a medical diagnostic tool.