bulkcut-coachlisted

# BulkCut Coach - Fitness & Diet Tracker Uses Gemini 3 Flash (via OpenRouter) for food photo analysis and personalized planning. ## How to Use All commands run from the project root. Parse the user's natural language and call the appropriate command via Bash. ### Food Photo Analysis When user shares a food image path: ```bash python scripts/app.py photo <image_path> ``` ### Text Meal Logging When user describes what they ate: ```bash python scripts/app.py meal "<description>" ``` ### Workout Logging When user describes their training (exercises, sets, reps, weight), do NOT use the interactive `train` command. Instead call Python directly: ```bash python -c " import sys; sys.path.insert(0, 'scripts') from training import log_training r = log_training([ {'name': '<exercise>', 'sets': <n>, 'reps': <n>, 'weight_kg': <n>}, ]) print(f'Calories burned: {r[\"calories_burned\"]} kcal') " ``` Parse the user's natural language into the exercise list. Examples: - "4x4 squat at 112.5kg" → `{'name': 'Back Squat', 'sets': 4, 'reps': 4, 'weight_kg': 112.5}` - "3x2 power clean 67.5kg" → `{'name': 'Power Clean', 'sets': 3, 'reps': 2, 'weight_kg': 67.5}` ### Body Metrics When user provides height/weight/age/gender/body fat: ```bash python -c " import sys; sys.path.insert(0, 'scripts') from metabolism import set_metrics p = set_metrics(<height_cm>, <weight_kg>, <age>, '<gender>', <body_fat_pct_or_None>) print(f'BMR: {p[\"bmr\"]} kcal/day\nTDEE: {p[\"tdee\"]} kcal/day') " ``` ### Goal