Diet Record Analyzer

Problem

Daily diet logging often stalls at “I know calories matter, but I cannot estimate them accurately, recall everything, or see the macronutrient structure.” diet-record-analyzer targets this exact case: it turns a text description of foods and rough portions into meal-level calorie estimates, macronutrient ratios, and adjustment suggestions compared against reference ranges. It does not recommend recipes or replace a dietitian’s judgment. It focuses on what was eaten, roughly how much energy was consumed, whether carbs, protein, and fat are balanced, and what could be swapped next time.

How It Works

The input is a written food and portion description, such as “3 pieces of braised pork, one bowl of rice, one plate of greens.” The skill groups items by meal, estimates calories and nutrients for common foods, and marks outputs with ~ to indicate approximation. It then sums daily calories, analyzes the carbs / protein / fat ratio, compares the result with common reference ranges, and flags gaps or excesses.

Key steps include:

• Logging: identify food type, estimate portion size, and assign breakfast, lunch, dinner, or snacks.
• Analysis: calculate per-meal and total daily calories, check macronutrient balance, and include snacks, drinks, and hidden calories.
• Suggestions: give specific alternatives, such as steamed or boiled options instead of fried food, or whole grains instead of refined staples.

Its value is turning diet notes from vague recall into a reviewable structure: which meal is heavy, which nutrient is low, and which food is worth swapping.

Limits and Caveats

All calorie values are estimates with roughly 10%-30% error, affected by cooking method, oil, and portion size. It cannot recognize food images; the user must describe foods in text. For weight loss, disease-related diet management, or medical concerns, consult a registered dietitian or doctor. Data also remain only in the current conversation, so long-term tracking is better handled by dedicated diet apps.