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Jarbas

Jarbas is a voice powered (Portuguese) shopping assistant built for the 48h hackaton of Pixels Camp 2016. The project got 3rd place.

Ever been in a situation where you notice that you're missing something in your house, you need to buy it but then forget to add that product to your shopping list? Well now with Jarbas, you don't need to open your note app to write down your shopping list. Simply say "Jarbas" to your phone (Android) or using the Jarbas Webapp (Chrome only) and let it help you note your shopping list. Jarbas will be listening to what you want to find and save the list for you. Once you're done, you can ask him to email you the list or request for the groceries to be delivered at your place (using Continente's API). Never forget that toilet paper anymore! Jarbas is here for you!

Gif Demo

  • The bot works by being constantly listening to the user's input using Chrome Browser;
  • After the final transcript is returned from Google's API, it attempts to match commands with a dictionary of possible commands by stripping stop words and other words that may not matter. Match is done using a very dumb regex;
  • If products are found and returned, the bot waits for the user to state which product he wishes to add to his shopping list. Product similarity is calculated using Sørensen–Dice's Coefficient;
  • Once the user is done with his purchase, he asks for the list to be finalized; The list can be then sent to the user's email if he asks for it;
  • Previously bought products can be found on the user's main page, including some stats like the most bough product and purchase mean cost;
  • Products were provided by Continente through their API. To speed up matching, products were stored on the Mongo database so the bot isn't constantly using the API to retrieve products;
  • The team also built an Android app that loads the webapp on a webframe in order to use Android's native speech to text API; The native app and webapp talked to each other using Android Javascript Interface

Stack:

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A simple voice powered shopping assistant for groceries.

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Readme
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2 stars

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var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - mstrlaw/jarbas: A simple voice powered shopping assistant for groceries. · GitHub
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Jarbas
Jarbas is a voice powered (Portuguese) shopping assistant built for the 48h hackaton of Pixels Camp 2016. The project got 3rd place.
Ever been in a situation where you notice that you're missing something in your house, you need to buy it but then forget to add that product to your shopping list? Well now with Jarbas, you don't need to open your note app to write down your shopping list. Simply say "Jarbas" to your phone (Android) or using the Jarbas Webapp (Chrome only) and let it help you note your shopping list. Jarbas will be listening to what you want to find and save the list for you. Once you're done, you can ask him to email you the list or request for the groceries to be delivered at your place (using Continente's API). Never forget that toilet paper anymore! Jarbas is here for you!
Gif Demo
  • The bot works by being constantly listening to the user's input using Chrome Browser;
  • After the final transcript is returned from Google's API, it attempts to match commands with a dictionary of possible commands by stripping stop words and other words that may not matter. Match is done using a very dumb regex;
  • If products are found and returned, the bot waits for the user to state which product he wishes to add to his shopping list. Product similarity is calculated using Sørensen–Dice's Coefficient;
  • Once the user is done with his purchase, he asks for the list to be finalized; The list can be then sent to the user's email if he asks for it;
  • Previously bought products can be found on the user's main page, including some stats like the most bough product and purchase mean cost;
  • Products were provided by Continente through their API. To speed up matching, products were stored on the Mongo database so the bot isn't constantly using the API to retrieve products;
  • The team also built an Android app that loads the webapp on a webframe in order to use Android's native speech to text API; The native app and webapp talked to each other using Android Javascript Interface
Stack:
About
A simple voice powered shopping assistant for groceries.
Resources
Readme
License
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
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, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - mstrlaw/jarbas: A simple voice powered shopping assistant for groceries. · GitHub
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Repository files navigation
Jarbas
Jarbas is a voice powered (Portuguese) shopping assistant built for the 48h hackaton of Pixels Camp 2016. The project got 3rd place.
Ever been in a situation where you notice that you're missing something in your house, you need to buy it but then forget to add that product to your shopping list? Well now with Jarbas, you don't need to open your note app to write down your shopping list. Simply say "Jarbas" to your phone (Android) or using the Jarbas Webapp (Chrome only) and let it help you note your shopping list. Jarbas will be listening to what you want to find and save the list for you. Once you're done, you can ask him to email you the list or request for the groceries to be delivered at your place (using Continente's API). Never forget that toilet paper anymore! Jarbas is here for you!
Gif Demo
  • The bot works by being constantly listening to the user's input using Chrome Browser;
  • After the final transcript is returned from Google's API, it attempts to match commands with a dictionary of possible commands by stripping stop words and other words that may not matter. Match is done using a very dumb regex;
  • If products are found and returned, the bot waits for the user to state which product he wishes to add to his shopping list. Product similarity is calculated using Sørensen–Dice's Coefficient;
  • Once the user is done with his purchase, he asks for the list to be finalized; The list can be then sent to the user's email if he asks for it;
  • Previously bought products can be found on the user's main page, including some stats like the most bough product and purchase mean cost;
  • Products were provided by Continente through their API. To speed up matching, products were stored on the Mongo database so the bot isn't constantly using the API to retrieve products;
  • The team also built an Android app that loads the webapp on a webframe in order to use Android's native speech to text API; The native app and webapp talked to each other using Android Javascript Interface
Stack:
About
A simple voice powered shopping assistant for groceries.
Resources
Readme
License
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
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} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - mstrlaw/jarbas: A simple voice powered shopping assistant for groceries. · GitHub
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Repository files navigation
Jarbas
Jarbas is a voice powered (Portuguese) shopping assistant built for the 48h hackaton of Pixels Camp 2016. The project got 3rd place.
Ever been in a situation where you notice that you're missing something in your house, you need to buy it but then forget to add that product to your shopping list? Well now with Jarbas, you don't need to open your note app to write down your shopping list. Simply say "Jarbas" to your phone (Android) or using the Jarbas Webapp (Chrome only) and let it help you note your shopping list. Jarbas will be listening to what you want to find and save the list for you. Once you're done, you can ask him to email you the list or request for the groceries to be delivered at your place (using Continente's API). Never forget that toilet paper anymore! Jarbas is here for you!
Gif Demo
  • The bot works by being constantly listening to the user's input using Chrome Browser;
  • After the final transcript is returned from Google's API, it attempts to match commands with a dictionary of possible commands by stripping stop words and other words that may not matter. Match is done using a very dumb regex;
  • If products are found and returned, the bot waits for the user to state which product he wishes to add to his shopping list. Product similarity is calculated using Sørensen–Dice's Coefficient;
  • Once the user is done with his purchase, he asks for the list to be finalized; The list can be then sent to the user's email if he asks for it;
  • Previously bought products can be found on the user's main page, including some stats like the most bough product and purchase mean cost;
  • Products were provided by Continente through their API. To speed up matching, products were stored on the Mongo database so the bot isn't constantly using the API to retrieve products;
  • The team also built an Android app that loads the webapp on a webframe in order to use Android's native speech to text API; The native app and webapp talked to each other using Android Javascript Interface
Stack:
About
A simple voice powered shopping assistant for groceries.
Resources
Readme
License
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
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, '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);
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observer.observe(document.body, { childList: true, subtree: true });
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} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - mstrlaw/jarbas: A simple voice powered shopping assistant for groceries. · GitHub
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Repository files navigation
Jarbas
Jarbas is a voice powered (Portuguese) shopping assistant built for the 48h hackaton of Pixels Camp 2016. The project got 3rd place.
Ever been in a situation where you notice that you're missing something in your house, you need to buy it but then forget to add that product to your shopping list? Well now with Jarbas, you don't need to open your note app to write down your shopping list. Simply say "Jarbas" to your phone (Android) or using the Jarbas Webapp (Chrome only) and let it help you note your shopping list. Jarbas will be listening to what you want to find and save the list for you. Once you're done, you can ask him to email you the list or request for the groceries to be delivered at your place (using Continente's API). Never forget that toilet paper anymore! Jarbas is here for you!
Gif Demo
  • The bot works by being constantly listening to the user's input using Chrome Browser;
  • After the final transcript is returned from Google's API, it attempts to match commands with a dictionary of possible commands by stripping stop words and other words that may not matter. Match is done using a very dumb regex;
  • If products are found and returned, the bot waits for the user to state which product he wishes to add to his shopping list. Product similarity is calculated using Sørensen–Dice's Coefficient;
  • Once the user is done with his purchase, he asks for the list to be finalized; The list can be then sent to the user's email if he asks for it;
  • Previously bought products can be found on the user's main page, including some stats like the most bough product and purchase mean cost;
  • Products were provided by Continente through their API. To speed up matching, products were stored on the Mongo database so the bot isn't constantly using the API to retrieve products;
  • The team also built an Android app that loads the webapp on a webframe in order to use Android's native speech to text API; The native app and webapp talked to each other using Android Javascript Interface
Stack:
About
A simple voice powered shopping assistant for groceries.
Resources
Readme
License
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
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, '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"]');
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setTimeout(tryTheater, 500);
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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 - mstrlaw/jarbas: A simple voice powered shopping assistant for groceries. · GitHub
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Repository files navigation
Jarbas
Jarbas is a voice powered (Portuguese) shopping assistant built for the 48h hackaton of Pixels Camp 2016. The project got 3rd place.
Ever been in a situation where you notice that you're missing something in your house, you need to buy it but then forget to add that product to your shopping list? Well now with Jarbas, you don't need to open your note app to write down your shopping list. Simply say "Jarbas" to your phone (Android) or using the Jarbas Webapp (Chrome only) and let it help you note your shopping list. Jarbas will be listening to what you want to find and save the list for you. Once you're done, you can ask him to email you the list or request for the groceries to be delivered at your place (using Continente's API). Never forget that toilet paper anymore! Jarbas is here for you!
Gif Demo
  • The bot works by being constantly listening to the user's input using Chrome Browser;
  • After the final transcript is returned from Google's API, it attempts to match commands with a dictionary of possible commands by stripping stop words and other words that may not matter. Match is done using a very dumb regex;
  • If products are found and returned, the bot waits for the user to state which product he wishes to add to his shopping list. Product similarity is calculated using Sørensen–Dice's Coefficient;
  • Once the user is done with his purchase, he asks for the list to be finalized; The list can be then sent to the user's email if he asks for it;
  • Previously bought products can be found on the user's main page, including some stats like the most bough product and purchase mean cost;
  • Products were provided by Continente through their API. To speed up matching, products were stored on the Mongo database so the bot isn't constantly using the API to retrieve products;
  • The team also built an Android app that loads the webapp on a webframe in order to use Android's native speech to text API; The native app and webapp talked to each other using Android Javascript Interface
Stack:
About
A simple voice powered shopping assistant for groceries.
Resources
Readme
License
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
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, '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') {
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var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
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} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - mstrlaw/jarbas: A simple voice powered shopping assistant for groceries. · GitHub
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README.md
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Repository files navigation
Jarbas
Jarbas is a voice powered (Portuguese) shopping assistant built for the 48h hackaton of Pixels Camp 2016. The project got 3rd place.
Ever been in a situation where you notice that you're missing something in your house, you need to buy it but then forget to add that product to your shopping list? Well now with Jarbas, you don't need to open your note app to write down your shopping list. Simply say "Jarbas" to your phone (Android) or using the Jarbas Webapp (Chrome only) and let it help you note your shopping list. Jarbas will be listening to what you want to find and save the list for you. Once you're done, you can ask him to email you the list or request for the groceries to be delivered at your place (using Continente's API). Never forget that toilet paper anymore! Jarbas is here for you!
Gif Demo
  • The bot works by being constantly listening to the user's input using Chrome Browser;
  • After the final transcript is returned from Google's API, it attempts to match commands with a dictionary of possible commands by stripping stop words and other words that may not matter. Match is done using a very dumb regex;
  • If products are found and returned, the bot waits for the user to state which product he wishes to add to his shopping list. Product similarity is calculated using Sørensen–Dice's Coefficient;
  • Once the user is done with his purchase, he asks for the list to be finalized; The list can be then sent to the user's email if he asks for it;
  • Previously bought products can be found on the user's main page, including some stats like the most bough product and purchase mean cost;
  • Products were provided by Continente through their API. To speed up matching, products were stored on the Mongo database so the bot isn't constantly using the API to retrieve products;
  • The team also built an Android app that loads the webapp on a webframe in order to use Android's native speech to text API; The native app and webapp talked to each other using Android Javascript Interface
Stack:
About
A simple voice powered shopping assistant for groceries.
Resources
Readme
License
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
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, '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 = '
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filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
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filter: invert(1) hue-rotate(180deg) !important;
}
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.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 - mstrlaw/jarbas: A simple voice powered shopping assistant for groceries. · GitHub
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Jarbas
Jarbas is a voice powered (Portuguese) shopping assistant built for the 48h hackaton of Pixels Camp 2016. The project got 3rd place.
Ever been in a situation where you notice that you're missing something in your house, you need to buy it but then forget to add that product to your shopping list? Well now with Jarbas, you don't need to open your note app to write down your shopping list. Simply say "Jarbas" to your phone (Android) or using the Jarbas Webapp (Chrome only) and let it help you note your shopping list. Jarbas will be listening to what you want to find and save the list for you. Once you're done, you can ask him to email you the list or request for the groceries to be delivered at your place (using Continente's API). Never forget that toilet paper anymore! Jarbas is here for you!
Gif Demo
  • The bot works by being constantly listening to the user's input using Chrome Browser;
  • After the final transcript is returned from Google's API, it attempts to match commands with a dictionary of possible commands by stripping stop words and other words that may not matter. Match is done using a very dumb regex;
  • If products are found and returned, the bot waits for the user to state which product he wishes to add to his shopping list. Product similarity is calculated using Sørensen–Dice's Coefficient;
  • Once the user is done with his purchase, he asks for the list to be finalized; The list can be then sent to the user's email if he asks for it;
  • Previously bought products can be found on the user's main page, including some stats like the most bough product and purchase mean cost;
  • Products were provided by Continente through their API. To speed up matching, products were stored on the Mongo database so the bot isn't constantly using the API to retrieve products;
  • The team also built an Android app that loads the webapp on a webframe in order to use Android's native speech to text API; The native app and webapp talked to each other using Android Javascript Interface
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