MacroLens

Inspiration

Tracking calories felt frustrating and time-consuming. Most apps required manual searching, portion calculations, and made users feel guilty after cheat meals. We wanted a smarter, simpler solution: take a food photo, enter the weight, and let AI handle the rest.

What it does

MacroLens uses AI to identify food from an image, calculate calories and macros based on weight, and suggest balanced meals for the rest of the day. It also supports regional foods and adapts after cheat meals instead of punishing users.

How we built it

We combined computer vision for food recognition, nutrition datasets for macro calculation, and a smart recommendation engine for meal planning. The frontend was designed for quick and simple tracking.

Challenges we ran into

-Accurately identifying regional foods -Estimating nutrition from food images -Building realistic cheat-meal balancing logic -Handling different image qualities and food presentations

Accomplishments that we're proud of

-Simplified calorie tracking into a photo-based workflow -Built a supportive “cheat meal aware” system -Made tracking easier for regional food habits -Created a clean and user-friendly experience