PantryPilot

PantryPilot, the only kitchen assistant you'll need!

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Inspiration

My parents inspired me. They always struggle to know what items we have at home, which leads to not knowing what to buy at the store. This results in overspending, purchasing duplicate items, or not buying the right things. It’s a cycle that many people experience, and I wanted to create a solution that would make their grocery shopping experience more efficient and stress-free.

What it does

PantryPilot helps people organize their kitchen and pantry by using receipts to store what items they already have at home. By scanning or uploading receipts, users can track their pantry inventory and always know exactly what they have, so they can make smarter shopping decisions. This prevents unnecessary purchases and ensures they have what they need when cooking. Additionally, the app connects to an AI-powered recipe maker that suggests tailored recipes based on the ingredients you already have, allowing you to make the most of what’s in your pantry.

How we built it

We developed PantryPilot using React Native for the app's front-end, ensuring a smooth experience across both iOS and Android devices. For managing the backend, we used Supabase, which provided the database and authentication capabilities. The real innovation lies in the use of Optical Character Recognition (OCR), which automatically scans and processes receipts to extract item information, allowing users to effortlessly track their pantry inventory without needing to input everything manually.

Challenges we ran into

During development, we faced several challenges. The most significant was implementing the OCR feature in a way that accurately recognizes and extracts data from various receipt formats. Receipts can be cluttered, inconsistent, and poorly scanned, so fine-tuning the OCR to ensure it could handle these variations was tricky. Additionally, integrating the AI recipe maker required us to design an algorithm that could suggest recipes with the right balance of flavor and nutritional value based on what users had in stock. Ensuring smooth syncing between receipt data, pantry inventory, and recipe suggestions also posed technical difficulties, but we were able to overcome them.

Accomplishments that we're proud of

We’re incredibly proud of our OCR implementation, which successfully extracts product information from receipts in a variety of formats. We also achieved seamless integration between the pantry tracker and the recipe generator. By combining these two features, PantryPilot provides a truly helpful, practical tool that can transform the way people plan their meals and shop for groceries. Our ability to create a cross-platform app that performs well on both iOS and Android is another accomplishment we’re particularly proud of.

What we learned

Through the development of PantryPilot, we learned a great deal about integrating AI into everyday applications and how to manage real-time data. The OCR component taught us a lot about the challenges of text recognition, particularly when dealing with different fonts, layouts, and the quality of scanned images. We also learned how important it is to focus on user experience, especially when developing a tool that’s supposed to make users’ lives easier, not more complicated. This project also reinforced the importance of iterative testing and user feedback to refine and improve the app's features.

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