TL;DR
1. Engineered prompts for GPT-4 Vision, deployed OCR to scan receipts, and implemented features to send expiry notifications and receipt suggestions.
2. Adopted ReactJS, Vite, and Firebase; conducted tests using Cypress
Check out the demo here!
In the period between September 2023 and April 2024, our team worked on creating an AI-Driven Grocery Logging and Recipe Suggestions App, a project that revolutionizes the way we manage our groceries and meal planning.
One of the highlights of this project was the integration of prompts for GPT-4 Vision. This advanced technology was deployed alongside Optical Character Recognition (OCR) to scan receipts. This enabled the app to track purchases and provide timely notifications about product expiry dates and recipe suggestions based on the ingredients purchased.
The app was built using ReactJS and Vite, with Firebase serving as the backbone for its cloud computing needs. To ensure functionality and smooth user experience, we conducted extensive testing using Cypress.
We also developed a Serverless RESTful API with ExpressJS that was deployed with AWS ElasticBean. This aspect of the project not only streamlined the back-end operations but also ensured efficient performance of the app.
Lastly, we incorporated API Gateway with AWS Lambda Functions. This provided a secure and efficient way to manage and route HTTP requests to the back-end services of our application.
This project presented an exciting opportunity to create an app that simplifies grocery management and meal planning with the power of AI and cloud computing.
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The Journey to Savor
This section documents the process of creating this application. See the list below:
