Challenge
Barcode-first trackers break down on homemade Indian meals, mixed plates, and recipes that change from one kitchen to the next. Logging every ingredient by hand creates more friction than insight.
AI calorie and macro tracking from a photo, voice note, or text, designed around Indian food, homemade meals, and real portions.
Barcode-first trackers break down on homemade Indian meals, mixed plates, and recipes that change from one kitchen to the next. Logging every ingredient by hand creates more friction than insight.
FuelNote accepts a photo, voice note, or text description, separates the meal into items, and returns an editable calorie and macro estimate with weekly patterns.
The product direction makes food logging feel closer to describing what you ate than filling out a database, while keeping every estimate visible and adjustable.
Track the meal you ate, not the one a database guessed.
I worked backwards from the moment someone finishes a meal: capture it quickly, make the estimate understandable, and make every correction easy. Scroll to see how those choices shaped FuelNote.
Start with a photo, voice note, or quick description, so logging feels like capturing the meal instead of assembling a database entry.
The first interaction had to match how people remember a meal. A photo, a sentence, or a voice note is faster and more natural than searching a food database ingredient by ingredient.
Homemade dishes, mixed plates, and changing recipes rarely have a reliable packaged-food match. The product needed to reason from the meal people actually ate.
FuelNote separates the plate into foods, shows the calorie and macro estimate, and lets you correct any assumption before it becomes history.
An estimate can be useful without pretending to be exact. Keeping the foods, portions, calories, and macros editable lets the person correct the model instead of accepting a confident mistake.
A single calorie number hides too much. Breaking the meal into visible items makes the result easier to check, adjust, and learn from.
The weekly view looks for useful patterns across meals instead of turning one imperfect day into a verdict.
The useful question is what keeps happening across a week, not whether one day was perfect. Weekly patterns create insight without turning the product into another source of guilt.
FuelNote makes food logging quick enough to keep and transparent enough to trust, without turning every meal into admin.
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