From 390b2b3d77ee0d879040a4a90deaa26d3824d7f1 Mon Sep 17 00:00:00 2001 From: Jianna Wong <118854292+jiannawong@users.noreply.github.com> Date: Wed, 18 Mar 2026 16:23:39 -0700 Subject: [PATCH] Revise README for clarity on project features Updated project description to emphasize user interface and ease of use. --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 1931973..9658a8d 100644 --- a/README.md +++ b/README.md @@ -15,9 +15,9 @@ Tool Project (with analytical and data presentation components) ## Questions of Interest - How can recipe selection and grocery planning tools reduce barriers to cooking at home for individuals? -The project introduces a recipe-driven grocery planning tool designed to reduce everyday barriers to cooking at home. Users can select a recipe from a recipe database, and the system automatically generates a store-specific grocery list with real-time pricing and availability using the Kroger Development API. This tool is intended to support more affordable and efficient home cooking, especially for users in or near food desert regions where cost, time, and access are major constraints. +The project introduces a recipe-driven grocery planning tool designed to reduce everyday barriers to cooking at home. Users can select a recipe from a recipe database, and the system automatically generates a store-specific grocery list with real-time pricing and availability using the Kroger Development API. This tool is intended to support more affordable and efficient home cooking. -By integrating spatial food access data with individual-level decision tools, this project demonstrates how data systems can move beyond analysis into actionable interventions. The final system includes a data pipeline, interactive map visualizations, and a backend data tool that together highlight inequities in food access while offering a concrete mechanism to help mitigate their impact. +The final system includes a data pipeline, backend data tool, and user interface that together create an easy to use product to find recipes and create a shopping list with those ingredients. ## Key Components - Recipe dataset ingestion and normalization