Food Decoder
Vision AI reads labels when barcodes fail, but Yuka already dominates this space.

Photo-based calorie logging, but MyFitnessPal and Cronometer already dominate this category.
Fitness enthusiasts and people tracking nutrition, especially those working with trainers or therapists.
MyFitnessPal · Cronometer · Calorie Tracker
I built my first Android app and deployed it into production!
This app has the following features such as:
- AI image recognition: snap a photo and it will estimate the carbs/calories/protein/fats. (not accurate yet but improving on it) - AI chatbot: to ask for recipes or to log your food set your fitness targets and it calculates how much nutrition you need daily. - manual entry of your food & the ability to save food as a favourite - data exports: to share with your PT - integration with Health Connect - track your weight & estimate the number of days to your target weight
I'm a solo developer and would love feedback or what other features I should include or add. Initially, I built this for my girlfriend so she could add her food and then export them for her therapist. Her therapist would cross-check the estimates so the AI image recognition didn't have to be 100% accurate - just "good enough" - so I built this app to take a photo and estimate it when storing it.
Play Store link: https://play.google.com/store/apps/details?id=com.snapneat.a...
Vision AI reads labels when barcodes fail, but Yuka already dominates this space.
Gemini-powered food extraction via natural language, but MyFitnessPal and Cronometer dominate.
Photo-to-macros logging and a context-aware workout engine are the project's real selling points — snapping a meal instead of digging through a database and having workouts adapt to your current equipment are tangible time-savers. The landing page is clean and trustworthy, but there’s no evidence on the page about CV accuracy, model safety, or sample workout flows; those are the two things that will make or break this in practice.
The core product is clear and useful: snap a fridge photo, get ingredients identified and recipes prioritized by what expires first. The three-step flow and bottom navigation feel like a real MVP you could try right now, but the listing hides crucial details — accuracy of the vision model, privacy of uploaded photos, and how recipes are sourced — so it's promising but still early.
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