Healthmaxx

Overview

Healthmaxx is a personal fitness and nutrition tracking app built around a simple idea: logging should be as frictionless as taking a photo. Instead of manually searching food databases or selecting exercises from dropdown menus, users snap a photo — a plate of food, a workout in progress, a gym session — and the app handles the rest.

What I'm Building

• An image-upload pipeline that uses computer vision and an LLM-based reasoning layer to parse the contents of a photo — identifying food items, estimated portions, or exercise type/activity — without requiring manual entry
• Intent parsing that goes beyond simple object detection: interpreting what the user is doing (e.g. distinguishing "eating a meal" vs. "logging a snack," or "a set of squats" vs. "a cardio session") to log activity accurately with minimal user input
• A FastAPI + PostgreSQL backend to store structured logs of food and exercise history over time
• Personalized insight generation: surfacing trends and recommendations based on a user's logged activity, rather than generic advice
• Goal: remove the biggest friction point in fitness tracking apps — manual logging — so users actually stick with it

This project is actively in development — more details and a live demo coming soon.