#

nsap

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Here are 4 public repositories matching this topic...

vanshika-wadhwa / nsap_female_beneficiary_predictor

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NSAP Female Beneficiary Predictor using IBM AutoAI This project leverages IBM Watson's AutoAI platform to predict the number of female beneficiaries under the National Social Assistance Programme (NSAP) schemes using demographic and administrative features. It includes dataset preprocessing, AutoAI model training, cloud deployment, and testing.

pythondata-sciencemachine-learningregressionibm-cloudautoainsapgovernment-schemes
  • Updated Aug 6, 2025

mohammedabidali1956 / Edunet-IBM_SkillsBuild-AICTE-Internship-Batch1May26-Project

Star 0

Kosh-AI is an AI-powered NSAP Scheme Eligibility Predictor developed using IBM watsonx.ai AutoAI and IBM Cloud. The system leverages machine learning to classify beneficiaries into the appropriate NSAP pension scheme, enabling faster, more accurate, and data-driven welfare distribution.

pythonmachine-learningclassificationibm-cloudsocial-welfareautoaie-governanceibm-watsonxnsapai-kosh
  • Updated Jun 4, 2026
  • Jupyter Notebook

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, '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" + '

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#


nsap


Star


Here are
4 public repositories
matching this topic...

vanshika-wadhwa /
nsap_female_beneficiary_predictor

Star
0
NSAP Female Beneficiary Predictor using IBM AutoAI This project leverages IBM Watson's AutoAI platform to predict the number of female beneficiaries under the National Social Assistance Programme (NSAP) schemes using demographic and administrative features. It includes dataset preprocessing, AutoAI model training, cloud deployment, and testing.
pythondata-sciencemachine-learningregressionibm-cloudautoainsapgovernment-schemes
  • 
Updated
Aug 6, 2025
mohammedabidali1956 /
Edunet-IBM_SkillsBuild-AICTE-Internship-Batch1May26-Project

Star
0
Kosh-AI is an AI-powered NSAP Scheme Eligibility Predictor developed using IBM watsonx.ai AutoAI and IBM Cloud. The system leverages machine learning to classify beneficiaries into the appropriate NSAP pension scheme, enabling faster, more accurate, and data-driven welfare distribution.
pythonmachine-learningclassificationibm-cloudsocial-welfareautoaie-governanceibm-watsonxnsapai-kosh
  • 
Updated
Jun 4, 2026
  • Jupyter Notebook

Add this topic to your repo


To associate your repository with the
nsap
topic, visit your repo's landing page and select "manage topics."


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, '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

#


nsap


Star


Here are
4 public repositories
matching this topic...

vanshika-wadhwa /
nsap_female_beneficiary_predictor

Star
0
NSAP Female Beneficiary Predictor using IBM AutoAI This project leverages IBM Watson's AutoAI platform to predict the number of female beneficiaries under the National Social Assistance Programme (NSAP) schemes using demographic and administrative features. It includes dataset preprocessing, AutoAI model training, cloud deployment, and testing.
pythondata-sciencemachine-learningregressionibm-cloudautoainsapgovernment-schemes
  • 
Updated
Aug 6, 2025
mohammedabidali1956 /
Edunet-IBM_SkillsBuild-AICTE-Internship-Batch1May26-Project

Star
0
Kosh-AI is an AI-powered NSAP Scheme Eligibility Predictor developed using IBM watsonx.ai AutoAI and IBM Cloud. The system leverages machine learning to classify beneficiaries into the appropriate NSAP pension scheme, enabling faster, more accurate, and data-driven welfare distribution.
pythonmachine-learningclassificationibm-cloudsocial-welfareautoaie-governanceibm-watsonxnsapai-kosh
  • 
Updated
Jun 4, 2026
  • Jupyter Notebook

Add this topic to your repo


To associate your repository with the
nsap
topic, visit your repo's landing page and select "manage topics."


Learn more


, '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

#


nsap


Star


Here are
4 public repositories
matching this topic...

vanshika-wadhwa /
nsap_female_beneficiary_predictor

Star
0
NSAP Female Beneficiary Predictor using IBM AutoAI This project leverages IBM Watson's AutoAI platform to predict the number of female beneficiaries under the National Social Assistance Programme (NSAP) schemes using demographic and administrative features. It includes dataset preprocessing, AutoAI model training, cloud deployment, and testing.
pythondata-sciencemachine-learningregressionibm-cloudautoainsapgovernment-schemes
  • 
Updated
Aug 6, 2025
mohammedabidali1956 /
Edunet-IBM_SkillsBuild-AICTE-Internship-Batch1May26-Project

Star
0
Kosh-AI is an AI-powered NSAP Scheme Eligibility Predictor developed using IBM watsonx.ai AutoAI and IBM Cloud. The system leverages machine learning to classify beneficiaries into the appropriate NSAP pension scheme, enabling faster, more accurate, and data-driven welfare distribution.
pythonmachine-learningclassificationibm-cloudsocial-welfareautoaie-governanceibm-watsonxnsapai-kosh
  • 
Updated
Jun 4, 2026
  • Jupyter Notebook

Add this topic to your repo


To associate your repository with the
nsap
topic, visit your repo's landing page and select "manage topics."


Learn more


, '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

#


nsap


Star


Here are
4 public repositories
matching this topic...

vanshika-wadhwa /
nsap_female_beneficiary_predictor

Star
0
NSAP Female Beneficiary Predictor using IBM AutoAI This project leverages IBM Watson's AutoAI platform to predict the number of female beneficiaries under the National Social Assistance Programme (NSAP) schemes using demographic and administrative features. It includes dataset preprocessing, AutoAI model training, cloud deployment, and testing.
pythondata-sciencemachine-learningregressionibm-cloudautoainsapgovernment-schemes
  • 
Updated
Aug 6, 2025
mohammedabidali1956 /
Edunet-IBM_SkillsBuild-AICTE-Internship-Batch1May26-Project

Star
0
Kosh-AI is an AI-powered NSAP Scheme Eligibility Predictor developed using IBM watsonx.ai AutoAI and IBM Cloud. The system leverages machine learning to classify beneficiaries into the appropriate NSAP pension scheme, enabling faster, more accurate, and data-driven welfare distribution.
pythonmachine-learningclassificationibm-cloudsocial-welfareautoaie-governanceibm-watsonxnsapai-kosh
  • 
Updated
Jun 4, 2026
  • Jupyter Notebook

Add this topic to your repo


To associate your repository with the
nsap
topic, visit your repo's landing page and select "manage topics."


Learn more


, '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

#


nsap


Star


Here are
4 public repositories
matching this topic...

vanshika-wadhwa /
nsap_female_beneficiary_predictor

Star
0
NSAP Female Beneficiary Predictor using IBM AutoAI This project leverages IBM Watson's AutoAI platform to predict the number of female beneficiaries under the National Social Assistance Programme (NSAP) schemes using demographic and administrative features. It includes dataset preprocessing, AutoAI model training, cloud deployment, and testing.
pythondata-sciencemachine-learningregressionibm-cloudautoainsapgovernment-schemes
  • 
Updated
Aug 6, 2025
mohammedabidali1956 /
Edunet-IBM_SkillsBuild-AICTE-Internship-Batch1May26-Project

Star
0
Kosh-AI is an AI-powered NSAP Scheme Eligibility Predictor developed using IBM watsonx.ai AutoAI and IBM Cloud. The system leverages machine learning to classify beneficiaries into the appropriate NSAP pension scheme, enabling faster, more accurate, and data-driven welfare distribution.
pythonmachine-learningclassificationibm-cloudsocial-welfareautoaie-governanceibm-watsonxnsapai-kosh
  • 
Updated
Jun 4, 2026
  • Jupyter Notebook

Add this topic to your repo


To associate your repository with the
nsap
topic, visit your repo's landing page and select "manage topics."


Learn more


, '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

#


nsap


Star


Here are
4 public repositories
matching this topic...

vanshika-wadhwa /
nsap_female_beneficiary_predictor

Star
0
NSAP Female Beneficiary Predictor using IBM AutoAI This project leverages IBM Watson's AutoAI platform to predict the number of female beneficiaries under the National Social Assistance Programme (NSAP) schemes using demographic and administrative features. It includes dataset preprocessing, AutoAI model training, cloud deployment, and testing.
pythondata-sciencemachine-learningregressionibm-cloudautoainsapgovernment-schemes
  • 
Updated
Aug 6, 2025
mohammedabidali1956 /
Edunet-IBM_SkillsBuild-AICTE-Internship-Batch1May26-Project

Star
0
Kosh-AI is an AI-powered NSAP Scheme Eligibility Predictor developed using IBM watsonx.ai AutoAI and IBM Cloud. The system leverages machine learning to classify beneficiaries into the appropriate NSAP pension scheme, enabling faster, more accurate, and data-driven welfare distribution.
pythonmachine-learningclassificationibm-cloudsocial-welfareautoaie-governanceibm-watsonxnsapai-kosh
  • 
Updated
Jun 4, 2026
  • Jupyter Notebook

Add this topic to your repo


To associate your repository with the
nsap
topic, visit your repo's landing page and select "manage topics."


Learn more


, '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); }
})();
})();

Skip to content

#


nsap


Star


Here are
4 public repositories
matching this topic...

vanshika-wadhwa /
nsap_female_beneficiary_predictor

Star
0
NSAP Female Beneficiary Predictor using IBM AutoAI This project leverages IBM Watson's AutoAI platform to predict the number of female beneficiaries under the National Social Assistance Programme (NSAP) schemes using demographic and administrative features. It includes dataset preprocessing, AutoAI model training, cloud deployment, and testing.
pythondata-sciencemachine-learningregressionibm-cloudautoainsapgovernment-schemes
  • 
Updated
Aug 6, 2025
mohammedabidali1956 /
Edunet-IBM_SkillsBuild-AICTE-Internship-Batch1May26-Project

Star
0
Kosh-AI is an AI-powered NSAP Scheme Eligibility Predictor developed using IBM watsonx.ai AutoAI and IBM Cloud. The system leverages machine learning to classify beneficiaries into the appropriate NSAP pension scheme, enabling faster, more accurate, and data-driven welfare distribution.
pythonmachine-learningclassificationibm-cloudsocial-welfareautoaie-governanceibm-watsonxnsapai-kosh
  • 
Updated
Jun 4, 2026
  • Jupyter Notebook

Add this topic to your repo


To associate your repository with the
nsap
topic, visit your repo's landing page and select "manage topics."


Learn more