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FoodAI

An Android app to scan and identify food and provide nutritional recommendation based on detected food class

Built with Xamarin.Forms and Azure Cognitive Services

Motivation

The motivation behind this project is based on this problem statment ⬇️

Assessing the nutritional contents of individual food choices against standards and providing recommendations in order to prevent all forms of malnutrition.

According to WHO

Malnutrition refers to deficiencies, excesses or imbalances in a person’s intake of energy and/or nutrients

  • An estimated 2 million children in Nigeria suffer from severe acute malnutrition (SAM).
  • 1.9 billion adults are overweight or obese, while 462 million are underweight.
  • 14.3 million are severely wasted and 144 million are stunted, while 38.3 million are overweight or obese.

Can AI help ?

Our Solution: An AI Powered App for Diet Recommendation

App Architecture

Demo

Future Improvement

  • This is just the First Iteration
  • Adding More Food classes
  • Diet Advice from professional utritionist
  • Improve UI
  • Recommendation can be based on Food Quantity
  • Diet recommendation can be based on the type of malnutrition

About

An Android app to scan and identify food and provide information and recommendation based on detected food

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
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(function() {
function addCopyButtons() {
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btn.onclick = function() {
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btn.textContent = 'Copied!';
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} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
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(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - Arnold-git/FoodAI: An Android app to scan and identify food and provide information and recommendation based on detected food · GitHub
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FoodAI

An Android app to scan and identify food and provide nutritional recommendation based on detected food class

Built with Xamarin.Forms and Azure Cognitive Services

Motivation

The motivation behind this project is based on this problem statment ⬇️

Assessing the nutritional contents of individual food choices against standards and providing recommendations in order to prevent all forms of malnutrition.

According to WHO

Malnutrition refers to deficiencies, excesses or imbalances in a person’s intake of energy and/or nutrients

  • An estimated 2 million children in Nigeria suffer from severe acute malnutrition (SAM).
  • 1.9 billion adults are overweight or obese, while 462 million are underweight.
  • 14.3 million are severely wasted and 144 million are stunted, while 38.3 million are overweight or obese.

Can AI help ?

Our Solution: An AI Powered App for Diet Recommendation

App Architecture

Demo

Future Improvement

  • This is just the First Iteration
  • Adding More Food classes
  • Diet Advice from professional utritionist
  • Improve UI
  • Recommendation can be based on Food Quantity
  • Diet recommendation can be based on the type of malnutrition

About

An Android app to scan and identify food and provide information and recommendation based on detected food

Resources

Stars

1 star

Watchers

0 watching

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Packages

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Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - Arnold-git/FoodAI: An Android app to scan and identify food and provide information and recommendation based on detected food · GitHub
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Repository files navigation

FoodAI

An Android app to scan and identify food and provide nutritional recommendation based on detected food class

Built with Xamarin.Forms and Azure Cognitive Services

Motivation

The motivation behind this project is based on this problem statment ⬇️

Assessing the nutritional contents of individual food choices against standards and providing recommendations in order to prevent all forms of malnutrition.

According to WHO

Malnutrition refers to deficiencies, excesses or imbalances in a person’s intake of energy and/or nutrients

  • An estimated 2 million children in Nigeria suffer from severe acute malnutrition (SAM).
  • 1.9 billion adults are overweight or obese, while 462 million are underweight.
  • 14.3 million are severely wasted and 144 million are stunted, while 38.3 million are overweight or obese.

Can AI help ?

Our Solution: An AI Powered App for Diet Recommendation

App Architecture

Demo

Future Improvement

  • This is just the First Iteration
  • Adding More Food classes
  • Diet Advice from professional utritionist
  • Improve UI
  • Recommendation can be based on Food Quantity
  • Diet recommendation can be based on the type of malnutrition

About

An Android app to scan and identify food and provide information and recommendation based on detected food

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - Arnold-git/FoodAI: An Android app to scan and identify food and provide information and recommendation based on detected food · GitHub
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Repository files navigation

FoodAI

An Android app to scan and identify food and provide nutritional recommendation based on detected food class

Built with Xamarin.Forms and Azure Cognitive Services

Motivation

The motivation behind this project is based on this problem statment ⬇️

Assessing the nutritional contents of individual food choices against standards and providing recommendations in order to prevent all forms of malnutrition.

According to WHO

Malnutrition refers to deficiencies, excesses or imbalances in a person’s intake of energy and/or nutrients

  • An estimated 2 million children in Nigeria suffer from severe acute malnutrition (SAM).
  • 1.9 billion adults are overweight or obese, while 462 million are underweight.
  • 14.3 million are severely wasted and 144 million are stunted, while 38.3 million are overweight or obese.

Can AI help ?

Our Solution: An AI Powered App for Diet Recommendation

App Architecture

Demo

Future Improvement

  • This is just the First Iteration
  • Adding More Food classes
  • Diet Advice from professional utritionist
  • Improve UI
  • Recommendation can be based on Food Quantity
  • Diet recommendation can be based on the type of malnutrition

About

An Android app to scan and identify food and provide information and recommendation based on detected food

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' GitHub - Arnold-git/FoodAI: An Android app to scan and identify food and provide information and recommendation based on detected food · GitHub
Skip to content

Repository files navigation

FoodAI

An Android app to scan and identify food and provide nutritional recommendation based on detected food class

Built with Xamarin.Forms and Azure Cognitive Services

Motivation

The motivation behind this project is based on this problem statment ⬇️

Assessing the nutritional contents of individual food choices against standards and providing recommendations in order to prevent all forms of malnutrition.

According to WHO

Malnutrition refers to deficiencies, excesses or imbalances in a person’s intake of energy and/or nutrients

  • An estimated 2 million children in Nigeria suffer from severe acute malnutrition (SAM).
  • 1.9 billion adults are overweight or obese, while 462 million are underweight.
  • 14.3 million are severely wasted and 144 million are stunted, while 38.3 million are overweight or obese.

Can AI help ?

Our Solution: An AI Powered App for Diet Recommendation

App Architecture

Demo

Future Improvement

  • This is just the First Iteration
  • Adding More Food classes
  • Diet Advice from professional utritionist
  • Improve UI
  • Recommendation can be based on Food Quantity
  • Diet recommendation can be based on the type of malnutrition

About

An Android app to scan and identify food and provide information and recommendation based on detected food

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - Arnold-git/FoodAI: An Android app to scan and identify food and provide information and recommendation based on detected food · GitHub
Skip to content

Repository files navigation

FoodAI

An Android app to scan and identify food and provide nutritional recommendation based on detected food class

Built with Xamarin.Forms and Azure Cognitive Services

Motivation

The motivation behind this project is based on this problem statment ⬇️

Assessing the nutritional contents of individual food choices against standards and providing recommendations in order to prevent all forms of malnutrition.

According to WHO

Malnutrition refers to deficiencies, excesses or imbalances in a person’s intake of energy and/or nutrients

  • An estimated 2 million children in Nigeria suffer from severe acute malnutrition (SAM).
  • 1.9 billion adults are overweight or obese, while 462 million are underweight.
  • 14.3 million are severely wasted and 144 million are stunted, while 38.3 million are overweight or obese.

Can AI help ?

Our Solution: An AI Powered App for Diet Recommendation

App Architecture

Demo

Future Improvement

  • This is just the First Iteration
  • Adding More Food classes
  • Diet Advice from professional utritionist
  • Improve UI
  • Recommendation can be based on Food Quantity
  • Diet recommendation can be based on the type of malnutrition

About

An Android app to scan and identify food and provide information and recommendation based on detected food

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - Arnold-git/FoodAI: An Android app to scan and identify food and provide information and recommendation based on detected food · GitHub
Skip to content

Repository files navigation

FoodAI

An Android app to scan and identify food and provide nutritional recommendation based on detected food class

Built with Xamarin.Forms and Azure Cognitive Services

Motivation

The motivation behind this project is based on this problem statment ⬇️

Assessing the nutritional contents of individual food choices against standards and providing recommendations in order to prevent all forms of malnutrition.

According to WHO

Malnutrition refers to deficiencies, excesses or imbalances in a person’s intake of energy and/or nutrients

  • An estimated 2 million children in Nigeria suffer from severe acute malnutrition (SAM).
  • 1.9 billion adults are overweight or obese, while 462 million are underweight.
  • 14.3 million are severely wasted and 144 million are stunted, while 38.3 million are overweight or obese.

Can AI help ?

Our Solution: An AI Powered App for Diet Recommendation

App Architecture

Demo

Future Improvement

  • This is just the First Iteration
  • Adding More Food classes
  • Diet Advice from professional utritionist
  • Improve UI
  • Recommendation can be based on Food Quantity
  • Diet recommendation can be based on the type of malnutrition

About

An Android app to scan and identify food and provide information and recommendation based on detected food

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); GitHub - Arnold-git/FoodAI: An Android app to scan and identify food and provide information and recommendation based on detected food · GitHub
Skip to content

Repository files navigation

FoodAI

An Android app to scan and identify food and provide nutritional recommendation based on detected food class

Built with Xamarin.Forms and Azure Cognitive Services

Motivation

The motivation behind this project is based on this problem statment ⬇️

Assessing the nutritional contents of individual food choices against standards and providing recommendations in order to prevent all forms of malnutrition.

According to WHO

Malnutrition refers to deficiencies, excesses or imbalances in a person’s intake of energy and/or nutrients

  • An estimated 2 million children in Nigeria suffer from severe acute malnutrition (SAM).
  • 1.9 billion adults are overweight or obese, while 462 million are underweight.
  • 14.3 million are severely wasted and 144 million are stunted, while 38.3 million are overweight or obese.

Can AI help ?

Our Solution: An AI Powered App for Diet Recommendation

App Architecture

Demo

Future Improvement

  • This is just the First Iteration
  • Adding More Food classes
  • Diet Advice from professional utritionist
  • Improve UI
  • Recommendation can be based on Food Quantity
  • Diet recommendation can be based on the type of malnutrition

About

An Android app to scan and identify food and provide information and recommendation based on detected food

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages