Manual entry
Enter a food and its nutrition directly, with serving adjustments and day-impact feedback before saving.
Private applicationMobile firstGoogle Apps Script
NutriTrackDaily tracking built around the decision before the log.
NutriTrack brings food, weight, wellness context, and long-term progress into one private daily system. It is designed to make consistent logging easier without shame, advertising, or manufactured urgency.
Built for a small private user group. It is not offered as a public service.
NutriTrackTodayOne clear place to check in.
Daily totalsNutrition at a glance
CaloriesProteinCarbs
Nora
Context before advice.
＋ Log food⚖ Log weight
HomeFoodWeightHistory
One product familyNutriTrack records the day.
NutriTrack Insights reads that history without changing it, then turns the accumulated record into deeper reports, patterns, comparisons, and evidence-aware projections.
Food logging
One record, many ways in.
The fastest method changes from meal to meal. NutriTrack keeps the destination consistent while letting the user choose the input that fits the moment.
USDA search
Search the USDA food database and choose a serving without rebuilding common nutrition records by hand.
History and favorites
Find foods already logged, search across permitted users, and keep frequently used entries in a reorderable favorites list.
Photo, label, or barcode
Give Nora a meal photo, nutrition label, or barcode image, then review and edit the interpreted values before they enter the record.
Natural language
Describe what was eaten in ordinary language and turn the result into reviewable food entries rather than an opaque automatic save.
Meal context
Organize entries by breakfast, lunch, dinner, or another named slot so patterns remain visible beyond a single calorie total.
Nora
AI inside the workflow, not beside it.
Nora is designed to work from the user's actual context. She can interpret food images, refine an analysis through conversation, assess a proposed entry against the day, respond after a weigh-in, and summarize verified trends.
The application supplies goals, recent meals, weight movement, streaks, check-in context, and local weather when those details are relevant. The user still reviews the food record before it is saved.
Review before saveSupport without shameVerified metrics firstUsage and cost tracked
FoodPhoto analysis and entry review
ProgressWeight and nutrition trends
ContextGoals, check-ins, streak, and weather
AuditTokens, cost, and feature-level usage
Beyond calories
A daily record with enough context to mean something later.
NutriTrack keeps the operational workflow compact while preserving the signals needed for useful trend analysis.
Mood, movement, and body state
A lightweight daily check-in adds context without turning the app into a clinical record.
Smoothed progress, not one-day drama
Weight history includes rolling trends, weekly averages, progress markers, notes, and milestone badges.
Daily, weekly, and overall summaries
Email digests and longer reports turn the log into something that can be reviewed away from the phone.
Exportable user data
Food, weight, and related records can be exported instead of remaining trapped inside an app account.
Architecture
A compact system with deliberate boundaries.
The implementation is small enough to understand end to end, but substantial enough to support multiple users, external services, reporting, caching, and controlled AI usage.
A mobile-first interface delivered through Google Apps Script, organized around dashboard, food, weight, history, and settings workflows.
Google Sheets holds the user-scoped food, weight, check-in, configuration, and audit data behind the application.
Gemini supports Nora, USDA supplies food data, and weather adds optional daily context.
Caching, per-feature usage records, token accounting, cost estimates, and daily AI budget controls are treated as product features.