PlatterPantry

Inspiration

In homes where they are rich enough to always have a well-stocked fridge, i noticed that they always have something going off, and they are buying the food they already have at home but forget to buy the ones that are actually running low. So they end up with an incomplete shopping trip, and extra food that they forget to use. This app i built is an attempt to solve that problem. Platter Pantry was built to solve this everyday household problem by helping families understand what food they already have, what is running low, and what needs to be used before it expires.

What it does

Platter Pantry is a smart household pantry and meal management app designed to reduce food waste and help families shop smarter.

The app allows households to:

track pantry inventory monitor quantities and expiry dates receive low-stock alerts create smart shopping lists log meals and pantry usage save reusable meal templates coordinate food management across family members

The app also helps households make better use of the food they already own by suggesting meals based on:

ingredients currently available items that will expire soon pantry shortages

To make logging easier, the app supports:

speech-to-text pantry logging image and receipt scanning AI-assisted food parsing

The goal is to turn pantry management from something people forget about into a lightweight and practical household system.

How we built it

I first prepared the prompt using ChatGPT, after that i pasted the desired prompt into MeDo

Challenges we ran into

the refinements that i needed to do also created surprising discoveries. for one, when i directly asked for a fix the Medo agent would fail to make the fix, but i cases when i did not ask for the fix, but wanting to understand why the bug occured, surprisingly the MeDo agent made the real fix. Frustrating because i wasted credits

Accomplishments that we're proud of

I am proud that this app was mostly built, like more that half to near completion with just one prompt, everything else was basically refinements. We are also proud of designing the app around a real-world problem that affects nearly every household: food waste caused by disorganization and lack of visibility.

What we learned

I learned that to be able to get the agent to behave as you expect it to, is only possible by having enough credits to burn to go through the process of trying and failing to learn the way the agent functions.

What's next for PlatterPantry

I recognise that the process of logging food items into the app will still be a hassle even with the use of STT and multi-modal parsing. So a solution to this is to make it competitive by letting children to the loggin and getting rewards for their effort.

IF this feature is ever built into the app, the i foresee taking the project further by integration a grocery shopping service in the project so that the AI in my project can take actions such as filling the cart with items that are running low in the pantry and leaving the purchacing to the user.

Built With

• css
• llm-plugin
• medo
• next.js
• react
• stt-plugin
• supabase
• tailwind
• typescript