Ayoda
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+Ayoda
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diff --git a/js/app.443c78c9.js b/js/app.443c78c9.js
new file mode 100644
index 0000000..a171abb
--- /dev/null
+++ b/js/app.443c78c9.js
@@ -0,0 +1,2 @@
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} :\n\t\tfunction() { return module; };\n\t__webpack_require__.d(getter, { a: getter });\n\treturn getter;\n};","// define getter functions for harmony exports\n__webpack_require__.d = function(exports, definition) {\n\tfor(var key in definition) {\n\t\tif(__webpack_require__.o(definition, key) && !__webpack_require__.o(exports, key)) {\n\t\t\tObject.defineProperty(exports, key, { enumerable: true, get: definition[key] });\n\t\t}\n\t}\n};","__webpack_require__.g = (function() {\n\tif (typeof globalThis === 'object') return globalThis;\n\ttry {\n\t\treturn this || new Function('return this')();\n\t} catch (e) {\n\t\tif (typeof window === 'object') return window;\n\t}\n})();","__webpack_require__.o = function(obj, prop) { return Object.prototype.hasOwnProperty.call(obj, prop); }","__webpack_require__.p = \"/ayoda-app.github.io/\";","// no baseURI\n\n// object to store loaded and loading chunks\n// undefined = chunk not loaded, null = chunk preloaded/prefetched\n// [resolve, reject, Promise] = chunk loading, 0 = chunk loaded\nvar installedChunks = {\n\t143: 0\n};\n\n// no chunk on demand loading\n\n// no prefetching\n\n// no preloaded\n\n// no HMR\n\n// no HMR manifest\n\n__webpack_require__.O.j = function(chunkId) { return installedChunks[chunkId] === 0; 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diff --git a/js/app.bb8ebcd3.js b/js/app.bb8ebcd3.js
deleted file mode 100644
index ec83b3b..0000000
--- a/js/app.bb8ebcd3.js
+++ /dev/null
@@ -1,2 +0,0 @@
-(function(){var t={5593:function(t,n,e){"use strict";var i=e(9242),o=e(3396);const r={class:"is-flex is-flex-direction-column is-align-items-center gap-150 p-75"};function s(t,n,e,i,s,a){const c=(0,o.up)("ayoda-header"),u=(0,o.up)("icon-section");return(0,o.wg)(),(0,o.iD)("div",r,[(0,o.Wm)(c),(0,o.Wm)(u,{title:"What We Do",text:"\n Our mission is to reduce food waste in the restaurant industry down to an iota.\n We're tackling this issue using our custom built machine learning models that take in information,\n such as sales, weather, and local events data to provide estimates for what foot traffic will look\n like in different markets at different times. These estimates can make all the difference for restaurants,\n particularly those just starting out, by giving them clarity on how much inventory to buy ahead of time.\n ",icon:"dashboard","icon-height":"500px","icon-align":"right"}),(0,o.Wm)(u,{title:"Why Us",text:"\n Ayoda is the tailor-fit solution for your tailor-fit needs. Each instance of Ayoda is trained specifically\n on your geographic market, with customizations available for any variables that could affect your businesses\n day to day traffic. If your business has years of sales data we can train our model directly on that. If you're\n the new place on the block we also offer pre-trained models using data from other restaurants in your area.\n ",icon:"tie","icon-align":"left"}),(0,o.Wm)(u,{title:"Why Now",text:"\n In the aftermath of covid, many small businesses have closed, or have been on the brink of shutting down. With times as uncertain as ever, every little bit counts, and Ayoda aims to help businesses by saving on potential waste\n ",icon:"money","icon-align":"right"})])}var a=e.p+"img/Text-Logo-No-Background.69c6ada8.svg";const c={class:"is-flex is-flex-direction-row is-align-items-center gap-25"},u=(0,o.uE)('