BranchesTags

Repository files navigation

TellMe

Application to collect and analyze Irrigation Data.

Demo

Demo Link

Username:111111111111

Password:demo1234

About

It's an application to collect and analyze the irrigation data to reduce water wastage. It solves the problem in three major steps. Collect. Analyze. Connect.

Collect - It starts with the collection of the data. The Irrigation data can be collected with the help of Mobile Application. It is stored in OLTP Database. Both communicate with the help of REST APIs.

Analyze - In this phase the collected data is then migrated to OLAP Database. After the migration the data can be exported in the desired format to analyze. The administrators can export the data from the Web Portal. After that, they can analyze the data with the help of advance tools and get the insights.

Connect - The insights and relevant information can be shared with the farmers and irrigation authorities.

Version

0.5

Usage

Clone

Clone the Project

$ git clone https://github.com/JitendraNirnejak/TellMe.git
$ cd TellMe

Installation

Install the dependencies (flask, psycopg etc.)

$ pipenv install

Run

This will start the server

$ python app.py

API Endpoints:

POST the given data in JSON format

/api/getOTP :

	{
"aadharID": ""
}

/api/verifyOTP :

	{
"aadharID":"",
"OTP":""
}

/api/register :

	{
"aadharID":"",
"password":"",
"contactNo":"",
"name":""
}

/api/login :

	{
"aadharID":"",
"password":""
}

/api/checkNotification :

	{
"aadharID":"",
}

/api/feedFarmData :

	{
"aadharID":"",
"farmName":"",
"longitude":"",
"latitude":"",
"state":"",
"district":"",
"city":"",
"landArea":"",
"groundWaterLevel":"",
"soilType":""
}

/api/getFarmList :

	{
"aadharID":""
}

/api/feedCropData :

	{
"aadharID":""
}

/api/getCropList :

	{
"aadharID":""
}

/api/feedIrrigationData :

	{
"aadharID":""
}

Common Format of Response :

	{
"status":"success"
}
	{
"status":"failed",
"message":"Something went wrong"
}

About

Application to collect and analyze irrigation data to reduce water waste

Topics

analyticsflaskinsightsirrigation-datapostgrespython

Resources

Readme
Activity

Stars

5 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
TellMe
Application to collect and analyze Irrigation Data.
Demo
Demo Link
Username:111111111111
Password:demo1234
About
It's an application to collect and analyze the irrigation data to reduce water wastage. It solves the problem in three major steps. Collect. Analyze. Connect.
Collect - It starts with the collection of the data. The Irrigation data can be collected with the help of Mobile Application. It is stored in OLTP Database. Both communicate with the help of REST APIs.
Analyze - In this phase the collected data is then migrated to OLAP Database. After the migration the data can be exported in the desired format to analyze. The administrators can export the data from the Web Portal. After that, they can analyze the data with the help of advance tools and get the insights.
Connect - The insights and relevant information can be shared with the farmers and irrigation authorities.
Version
0.5
Usage
Clone
Clone the Project
$ git clone https://github.com/JitendraNirnejak/TellMe.git
$ cd TellMe
Installation
Install the dependencies (flask, psycopg etc.)
$ pipenv install
Run
This will start the server
$ python app.py
API Endpoints:
POST the given data in JSON format
/api/getOTP :
	{
"aadharID": ""
}
/api/verifyOTP :
	{
"aadharID":"",
"OTP":""
}
/api/register :
	{
"aadharID":"",
"password":"",
"contactNo":"",
"name":""
}
/api/login :
	{
"aadharID":"",
"password":""
}
/api/checkNotification :
	{
"aadharID":"",
}
/api/feedFarmData :
	{
"aadharID":"",
"farmName":"",
"longitude":"",
"latitude":"",
"state":"",
"district":"",
"city":"",
"landArea":"",
"groundWaterLevel":"",
"soilType":""
}
/api/getFarmList :
	{
"aadharID":""
}
/api/feedCropData :
	{
"aadharID":""
}
/api/getCropList :
	{
"aadharID":""
}
/api/feedIrrigationData :
	{
"aadharID":""
}
Common Format of Response :
	{
"status":"success"
}
	{
"status":"failed",
"message":"Something went wrong"
}
About
Application to collect and analyze irrigation data to reduce water waste
Topics
analyticsflaskinsightsirrigation-datapostgrespython
Resources
Readme
Activity
Stars
5 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
TellMe
Application to collect and analyze Irrigation Data.
Demo
Demo Link
Username:111111111111
Password:demo1234
About
It's an application to collect and analyze the irrigation data to reduce water wastage. It solves the problem in three major steps. Collect. Analyze. Connect.
Collect - It starts with the collection of the data. The Irrigation data can be collected with the help of Mobile Application. It is stored in OLTP Database. Both communicate with the help of REST APIs.
Analyze - In this phase the collected data is then migrated to OLAP Database. After the migration the data can be exported in the desired format to analyze. The administrators can export the data from the Web Portal. After that, they can analyze the data with the help of advance tools and get the insights.
Connect - The insights and relevant information can be shared with the farmers and irrigation authorities.
Version
0.5
Usage
Clone
Clone the Project
$ git clone https://github.com/JitendraNirnejak/TellMe.git
$ cd TellMe
Installation
Install the dependencies (flask, psycopg etc.)
$ pipenv install
Run
This will start the server
$ python app.py
API Endpoints:
POST the given data in JSON format
/api/getOTP :
	{
"aadharID": ""
}
/api/verifyOTP :
	{
"aadharID":"",
"OTP":""
}
/api/register :
	{
"aadharID":"",
"password":"",
"contactNo":"",
"name":""
}
/api/login :
	{
"aadharID":"",
"password":""
}
/api/checkNotification :
	{
"aadharID":"",
}
/api/feedFarmData :
	{
"aadharID":"",
"farmName":"",
"longitude":"",
"latitude":"",
"state":"",
"district":"",
"city":"",
"landArea":"",
"groundWaterLevel":"",
"soilType":""
}
/api/getFarmList :
	{
"aadharID":""
}
/api/feedCropData :
	{
"aadharID":""
}
/api/getCropList :
	{
"aadharID":""
}
/api/feedIrrigationData :
	{
"aadharID":""
}
Common Format of Response :
	{
"status":"success"
}
	{
"status":"failed",
"message":"Something went wrong"
}
About
Application to collect and analyze irrigation data to reduce water waste
Topics
analyticsflaskinsightsirrigation-datapostgrespython
Resources
Readme
Activity
Stars
5 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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

Skip to content
BranchesTags
Repository files navigation
TellMe
Application to collect and analyze Irrigation Data.
Demo
Demo Link
Username:111111111111
Password:demo1234
About
It's an application to collect and analyze the irrigation data to reduce water wastage. It solves the problem in three major steps. Collect. Analyze. Connect.
Collect - It starts with the collection of the data. The Irrigation data can be collected with the help of Mobile Application. It is stored in OLTP Database. Both communicate with the help of REST APIs.
Analyze - In this phase the collected data is then migrated to OLAP Database. After the migration the data can be exported in the desired format to analyze. The administrators can export the data from the Web Portal. After that, they can analyze the data with the help of advance tools and get the insights.
Connect - The insights and relevant information can be shared with the farmers and irrigation authorities.
Version
0.5
Usage
Clone
Clone the Project
$ git clone https://github.com/JitendraNirnejak/TellMe.git
$ cd TellMe
Installation
Install the dependencies (flask, psycopg etc.)
$ pipenv install
Run
This will start the server
$ python app.py
API Endpoints:
POST the given data in JSON format
/api/getOTP :
	{
"aadharID": ""
}
/api/verifyOTP :
	{
"aadharID":"",
"OTP":""
}
/api/register :
	{
"aadharID":"",
"password":"",
"contactNo":"",
"name":""
}
/api/login :
	{
"aadharID":"",
"password":""
}
/api/checkNotification :
	{
"aadharID":"",
}
/api/feedFarmData :
	{
"aadharID":"",
"farmName":"",
"longitude":"",
"latitude":"",
"state":"",
"district":"",
"city":"",
"landArea":"",
"groundWaterLevel":"",
"soilType":""
}
/api/getFarmList :
	{
"aadharID":""
}
/api/feedCropData :
	{
"aadharID":""
}
/api/getCropList :
	{
"aadharID":""
}
/api/feedIrrigationData :
	{
"aadharID":""
}
Common Format of Response :
	{
"status":"success"
}
	{
"status":"failed",
"message":"Something went wrong"
}
About
Application to collect and analyze irrigation data to reduce water waste
Topics
analyticsflaskinsightsirrigation-datapostgrespython
Resources
Readme
Activity
Stars
5 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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

Skip to content
BranchesTags
Repository files navigation
TellMe
Application to collect and analyze Irrigation Data.
Demo
Demo Link
Username:111111111111
Password:demo1234
About
It's an application to collect and analyze the irrigation data to reduce water wastage. It solves the problem in three major steps. Collect. Analyze. Connect.
Collect - It starts with the collection of the data. The Irrigation data can be collected with the help of Mobile Application. It is stored in OLTP Database. Both communicate with the help of REST APIs.
Analyze - In this phase the collected data is then migrated to OLAP Database. After the migration the data can be exported in the desired format to analyze. The administrators can export the data from the Web Portal. After that, they can analyze the data with the help of advance tools and get the insights.
Connect - The insights and relevant information can be shared with the farmers and irrigation authorities.
Version
0.5
Usage
Clone
Clone the Project
$ git clone https://github.com/JitendraNirnejak/TellMe.git
$ cd TellMe
Installation
Install the dependencies (flask, psycopg etc.)
$ pipenv install
Run
This will start the server
$ python app.py
API Endpoints:
POST the given data in JSON format
/api/getOTP :
	{
"aadharID": ""
}
/api/verifyOTP :
	{
"aadharID":"",
"OTP":""
}
/api/register :
	{
"aadharID":"",
"password":"",
"contactNo":"",
"name":""
}
/api/login :
	{
"aadharID":"",
"password":""
}
/api/checkNotification :
	{
"aadharID":"",
}
/api/feedFarmData :
	{
"aadharID":"",
"farmName":"",
"longitude":"",
"latitude":"",
"state":"",
"district":"",
"city":"",
"landArea":"",
"groundWaterLevel":"",
"soilType":""
}
/api/getFarmList :
	{
"aadharID":""
}
/api/feedCropData :
	{
"aadharID":""
}
/api/getCropList :
	{
"aadharID":""
}
/api/feedIrrigationData :
	{
"aadharID":""
}
Common Format of Response :
	{
"status":"success"
}
	{
"status":"failed",
"message":"Something went wrong"
}
About
Application to collect and analyze irrigation data to reduce water waste
Topics
analyticsflaskinsightsirrigation-datapostgrespython
Resources
Readme
Activity
Stars
5 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
TellMe
Application to collect and analyze Irrigation Data.
Demo
Demo Link
Username:111111111111
Password:demo1234
About
It's an application to collect and analyze the irrigation data to reduce water wastage. It solves the problem in three major steps. Collect. Analyze. Connect.
Collect - It starts with the collection of the data. The Irrigation data can be collected with the help of Mobile Application. It is stored in OLTP Database. Both communicate with the help of REST APIs.
Analyze - In this phase the collected data is then migrated to OLAP Database. After the migration the data can be exported in the desired format to analyze. The administrators can export the data from the Web Portal. After that, they can analyze the data with the help of advance tools and get the insights.
Connect - The insights and relevant information can be shared with the farmers and irrigation authorities.
Version
0.5
Usage
Clone
Clone the Project
$ git clone https://github.com/JitendraNirnejak/TellMe.git
$ cd TellMe
Installation
Install the dependencies (flask, psycopg etc.)
$ pipenv install
Run
This will start the server
$ python app.py
API Endpoints:
POST the given data in JSON format
/api/getOTP :
	{
"aadharID": ""
}
/api/verifyOTP :
	{
"aadharID":"",
"OTP":""
}
/api/register :
	{
"aadharID":"",
"password":"",
"contactNo":"",
"name":""
}
/api/login :
	{
"aadharID":"",
"password":""
}
/api/checkNotification :
	{
"aadharID":"",
}
/api/feedFarmData :
	{
"aadharID":"",
"farmName":"",
"longitude":"",
"latitude":"",
"state":"",
"district":"",
"city":"",
"landArea":"",
"groundWaterLevel":"",
"soilType":""
}
/api/getFarmList :
	{
"aadharID":""
}
/api/feedCropData :
	{
"aadharID":""
}
/api/getCropList :
	{
"aadharID":""
}
/api/feedIrrigationData :
	{
"aadharID":""
}
Common Format of Response :
	{
"status":"success"
}
	{
"status":"failed",
"message":"Something went wrong"
}
About
Application to collect and analyze irrigation data to reduce water waste
Topics
analyticsflaskinsightsirrigation-datapostgrespython
Resources
Readme
Activity
Stars
5 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
TellMe
Application to collect and analyze Irrigation Data.
Demo
Demo Link
Username:111111111111
Password:demo1234
About
It's an application to collect and analyze the irrigation data to reduce water wastage. It solves the problem in three major steps. Collect. Analyze. Connect.
Collect - It starts with the collection of the data. The Irrigation data can be collected with the help of Mobile Application. It is stored in OLTP Database. Both communicate with the help of REST APIs.
Analyze - In this phase the collected data is then migrated to OLAP Database. After the migration the data can be exported in the desired format to analyze. The administrators can export the data from the Web Portal. After that, they can analyze the data with the help of advance tools and get the insights.
Connect - The insights and relevant information can be shared with the farmers and irrigation authorities.
Version
0.5
Usage
Clone
Clone the Project
$ git clone https://github.com/JitendraNirnejak/TellMe.git
$ cd TellMe
Installation
Install the dependencies (flask, psycopg etc.)
$ pipenv install
Run
This will start the server
$ python app.py
API Endpoints:
POST the given data in JSON format
/api/getOTP :
	{
"aadharID": ""
}
/api/verifyOTP :
	{
"aadharID":"",
"OTP":""
}
/api/register :
	{
"aadharID":"",
"password":"",
"contactNo":"",
"name":""
}
/api/login :
	{
"aadharID":"",
"password":""
}
/api/checkNotification :
	{
"aadharID":"",
}
/api/feedFarmData :
	{
"aadharID":"",
"farmName":"",
"longitude":"",
"latitude":"",
"state":"",
"district":"",
"city":"",
"landArea":"",
"groundWaterLevel":"",
"soilType":""
}
/api/getFarmList :
	{
"aadharID":""
}
/api/feedCropData :
	{
"aadharID":""
}
/api/getCropList :
	{
"aadharID":""
}
/api/feedIrrigationData :
	{
"aadharID":""
}
Common Format of Response :
	{
"status":"success"
}
	{
"status":"failed",
"message":"Something went wrong"
}
About
Application to collect and analyze irrigation data to reduce water waste
Topics
analyticsflaskinsightsirrigation-datapostgrespython
Resources
Readme
Activity
Stars
5 stars
Watchers
0 watching
Forks
0 forks
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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TellMe
Application to collect and analyze Irrigation Data.
Demo
Demo Link
Username:111111111111
Password:demo1234
About
It's an application to collect and analyze the irrigation data to reduce water wastage. It solves the problem in three major steps. Collect. Analyze. Connect.
Collect - It starts with the collection of the data. The Irrigation data can be collected with the help of Mobile Application. It is stored in OLTP Database. Both communicate with the help of REST APIs.
Analyze - In this phase the collected data is then migrated to OLAP Database. After the migration the data can be exported in the desired format to analyze. The administrators can export the data from the Web Portal. After that, they can analyze the data with the help of advance tools and get the insights.
Connect - The insights and relevant information can be shared with the farmers and irrigation authorities.
Version
0.5
Usage
Clone
Clone the Project
$ git clone https://github.com/JitendraNirnejak/TellMe.git
$ cd TellMe
Installation
Install the dependencies (flask, psycopg etc.)
$ pipenv install
Run
This will start the server
$ python app.py
API Endpoints:
POST the given data in JSON format
/api/getOTP :
	{
"aadharID": ""
}
/api/verifyOTP :
	{
"aadharID":"",
"OTP":""
}
/api/register :
	{
"aadharID":"",
"password":"",
"contactNo":"",
"name":""
}
/api/login :
	{
"aadharID":"",
"password":""
}
/api/checkNotification :
	{
"aadharID":"",
}
/api/feedFarmData :
	{
"aadharID":"",
"farmName":"",
"longitude":"",
"latitude":"",
"state":"",
"district":"",
"city":"",
"landArea":"",
"groundWaterLevel":"",
"soilType":""
}
/api/getFarmList :
	{
"aadharID":""
}
/api/feedCropData :
	{
"aadharID":""
}
/api/getCropList :
	{
"aadharID":""
}
/api/feedIrrigationData :
	{
"aadharID":""
}
Common Format of Response :
	{
"status":"success"
}
	{
"status":"failed",
"message":"Something went wrong"
}
About
Application to collect and analyze irrigation data to reduce water waste
Topics
analyticsflaskinsightsirrigation-datapostgrespython
Resources
Readme
Activity
Stars
5 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages