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Rohit AI Profile

Rohit Yelukati Mahendra's minimalist evidence-first portfolio, with a small neural planner that runs entirely in the browser.

Live site:ymrohit.github.io

What ships

  • a 10.95 MB ONNX evidence planner;
  • 98 replaceable public records spanning career, projects, research, achievements, and professional contact;
  • neural retrieval with literal evidence constraints;
  • multi-record synthesis and short follow-up context;
  • compact source receipts and private-data refusal;
  • a locally packaged ONNX Runtime Web engine;
  • no inference server, paid API, analytics, cookies, or prompt transmission.

The frozen model cleared 1,147 fresh validation and hidden cases, including 120 counterfactual pairs, plus 82 full-profile regression checks and 48 browser-persona questions. Every exported ONNX output matches the PyTorch checkpoint on the parity suite. The browser receives only the planner export, vocabulary, runtime, and replaceable evidence corpus.

Run locally

npm ci
npm run dev

The first command installs ONNX Runtime Web. The development and production scripts copy only the required WASM assets into the public bundle.

Validate

npm run build
npm run test:sites
python tests/profile_e2e.py
python tests/persona_matrix_e2e.py

The Chrome integration test verifies real model loading, live reasoning stages, full identity, contact, experience, education, strengths, limitations, competitions, research, portfolio synthesis, contributions, unsupported-domain refusal, privacy boundaries, sources, and mobile layout.

Set PROFILE_URL=https://ymrohit.github.io/ to run the same suite against the deployed site.

About

Browser-local AI profile with a 10.95 MB reasoner over 93 public records

ymrohit.github.io/

Resources

Readme
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

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
Rohit AI Profile
Rohit Yelukati Mahendra's minimalist evidence-first portfolio, with a small neural planner that runs entirely in the browser.
Live site:ymrohit.github.io
What ships
  • a 10.95 MB ONNX evidence planner;
  • 98 replaceable public records spanning career, projects, research, achievements, and professional contact;
  • neural retrieval with literal evidence constraints;
  • multi-record synthesis and short follow-up context;
  • compact source receipts and private-data refusal;
  • a locally packaged ONNX Runtime Web engine;
  • no inference server, paid API, analytics, cookies, or prompt transmission.
The frozen model cleared 1,147 fresh validation and hidden cases, including 120 counterfactual pairs, plus 82 full-profile regression checks and 48 browser-persona questions. Every exported ONNX output matches the PyTorch checkpoint on the parity suite. The browser receives only the planner export, vocabulary, runtime, and replaceable evidence corpus.
Run locally
npm ci
npm run dev
The first command installs ONNX Runtime Web. The development and production scripts copy only the required WASM assets into the public bundle.
Validate
npm run build
npm run test:sites
python tests/profile_e2e.py
python tests/persona_matrix_e2e.py
The Chrome integration test verifies real model loading, live reasoning stages, full identity, contact, experience, education, strengths, limitations, competitions, research, portfolio synthesis, contributions, unsupported-domain refusal, privacy boundaries, sources, and mobile layout.
Set PROFILE_URL=https://ymrohit.github.io/ to run the same suite against the deployed site.
About
Browser-local AI profile with a 10.95 MB reasoner over 93 public records
ymrohit.github.io/
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
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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
BranchesTags
Repository files navigation
Rohit AI Profile
Rohit Yelukati Mahendra's minimalist evidence-first portfolio, with a small neural planner that runs entirely in the browser.
Live site:ymrohit.github.io
What ships
  • a 10.95 MB ONNX evidence planner;
  • 98 replaceable public records spanning career, projects, research, achievements, and professional contact;
  • neural retrieval with literal evidence constraints;
  • multi-record synthesis and short follow-up context;
  • compact source receipts and private-data refusal;
  • a locally packaged ONNX Runtime Web engine;
  • no inference server, paid API, analytics, cookies, or prompt transmission.
The frozen model cleared 1,147 fresh validation and hidden cases, including 120 counterfactual pairs, plus 82 full-profile regression checks and 48 browser-persona questions. Every exported ONNX output matches the PyTorch checkpoint on the parity suite. The browser receives only the planner export, vocabulary, runtime, and replaceable evidence corpus.
Run locally
npm ci
npm run dev
The first command installs ONNX Runtime Web. The development and production scripts copy only the required WASM assets into the public bundle.
Validate
npm run build
npm run test:sites
python tests/profile_e2e.py
python tests/persona_matrix_e2e.py
The Chrome integration test verifies real model loading, live reasoning stages, full identity, contact, experience, education, strengths, limitations, competitions, research, portfolio synthesis, contributions, unsupported-domain refusal, privacy boundaries, sources, and mobile layout.
Set PROFILE_URL=https://ymrohit.github.io/ to run the same suite against the deployed site.
About
Browser-local AI profile with a 10.95 MB reasoner over 93 public records
ymrohit.github.io/
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
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
Rohit AI Profile
Rohit Yelukati Mahendra's minimalist evidence-first portfolio, with a small neural planner that runs entirely in the browser.
Live site:ymrohit.github.io
What ships
  • a 10.95 MB ONNX evidence planner;
  • 98 replaceable public records spanning career, projects, research, achievements, and professional contact;
  • neural retrieval with literal evidence constraints;
  • multi-record synthesis and short follow-up context;
  • compact source receipts and private-data refusal;
  • a locally packaged ONNX Runtime Web engine;
  • no inference server, paid API, analytics, cookies, or prompt transmission.
The frozen model cleared 1,147 fresh validation and hidden cases, including 120 counterfactual pairs, plus 82 full-profile regression checks and 48 browser-persona questions. Every exported ONNX output matches the PyTorch checkpoint on the parity suite. The browser receives only the planner export, vocabulary, runtime, and replaceable evidence corpus.
Run locally
npm ci
npm run dev
The first command installs ONNX Runtime Web. The development and production scripts copy only the required WASM assets into the public bundle.
Validate
npm run build
npm run test:sites
python tests/profile_e2e.py
python tests/persona_matrix_e2e.py
The Chrome integration test verifies real model loading, live reasoning stages, full identity, contact, experience, education, strengths, limitations, competitions, research, portfolio synthesis, contributions, unsupported-domain refusal, privacy boundaries, sources, and mobile layout.
Set PROFILE_URL=https://ymrohit.github.io/ to run the same suite against the deployed site.
About
Browser-local AI profile with a 10.95 MB reasoner over 93 public records
ymrohit.github.io/
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
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
Rohit AI Profile
Rohit Yelukati Mahendra's minimalist evidence-first portfolio, with a small neural planner that runs entirely in the browser.
Live site:ymrohit.github.io
What ships
  • a 10.95 MB ONNX evidence planner;
  • 98 replaceable public records spanning career, projects, research, achievements, and professional contact;
  • neural retrieval with literal evidence constraints;
  • multi-record synthesis and short follow-up context;
  • compact source receipts and private-data refusal;
  • a locally packaged ONNX Runtime Web engine;
  • no inference server, paid API, analytics, cookies, or prompt transmission.
The frozen model cleared 1,147 fresh validation and hidden cases, including 120 counterfactual pairs, plus 82 full-profile regression checks and 48 browser-persona questions. Every exported ONNX output matches the PyTorch checkpoint on the parity suite. The browser receives only the planner export, vocabulary, runtime, and replaceable evidence corpus.
Run locally
npm ci
npm run dev
The first command installs ONNX Runtime Web. The development and production scripts copy only the required WASM assets into the public bundle.
Validate
npm run build
npm run test:sites
python tests/profile_e2e.py
python tests/persona_matrix_e2e.py
The Chrome integration test verifies real model loading, live reasoning stages, full identity, contact, experience, education, strengths, limitations, competitions, research, portfolio synthesis, contributions, unsupported-domain refusal, privacy boundaries, sources, and mobile layout.
Set PROFILE_URL=https://ymrohit.github.io/ to run the same suite against the deployed site.
About
Browser-local AI profile with a 10.95 MB reasoner over 93 public records
ymrohit.github.io/
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
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
Rohit AI Profile
Rohit Yelukati Mahendra's minimalist evidence-first portfolio, with a small neural planner that runs entirely in the browser.
Live site:ymrohit.github.io
What ships
  • a 10.95 MB ONNX evidence planner;
  • 98 replaceable public records spanning career, projects, research, achievements, and professional contact;
  • neural retrieval with literal evidence constraints;
  • multi-record synthesis and short follow-up context;
  • compact source receipts and private-data refusal;
  • a locally packaged ONNX Runtime Web engine;
  • no inference server, paid API, analytics, cookies, or prompt transmission.
The frozen model cleared 1,147 fresh validation and hidden cases, including 120 counterfactual pairs, plus 82 full-profile regression checks and 48 browser-persona questions. Every exported ONNX output matches the PyTorch checkpoint on the parity suite. The browser receives only the planner export, vocabulary, runtime, and replaceable evidence corpus.
Run locally
npm ci
npm run dev
The first command installs ONNX Runtime Web. The development and production scripts copy only the required WASM assets into the public bundle.
Validate
npm run build
npm run test:sites
python tests/profile_e2e.py
python tests/persona_matrix_e2e.py
The Chrome integration test verifies real model loading, live reasoning stages, full identity, contact, experience, education, strengths, limitations, competitions, research, portfolio synthesis, contributions, unsupported-domain refusal, privacy boundaries, sources, and mobile layout.
Set PROFILE_URL=https://ymrohit.github.io/ to run the same suite against the deployed site.
About
Browser-local AI profile with a 10.95 MB reasoner over 93 public records
ymrohit.github.io/
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
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
Rohit AI Profile
Rohit Yelukati Mahendra's minimalist evidence-first portfolio, with a small neural planner that runs entirely in the browser.
Live site:ymrohit.github.io
What ships
  • a 10.95 MB ONNX evidence planner;
  • 98 replaceable public records spanning career, projects, research, achievements, and professional contact;
  • neural retrieval with literal evidence constraints;
  • multi-record synthesis and short follow-up context;
  • compact source receipts and private-data refusal;
  • a locally packaged ONNX Runtime Web engine;
  • no inference server, paid API, analytics, cookies, or prompt transmission.
The frozen model cleared 1,147 fresh validation and hidden cases, including 120 counterfactual pairs, plus 82 full-profile regression checks and 48 browser-persona questions. Every exported ONNX output matches the PyTorch checkpoint on the parity suite. The browser receives only the planner export, vocabulary, runtime, and replaceable evidence corpus.
Run locally
npm ci
npm run dev
The first command installs ONNX Runtime Web. The development and production scripts copy only the required WASM assets into the public bundle.
Validate
npm run build
npm run test:sites
python tests/profile_e2e.py
python tests/persona_matrix_e2e.py
The Chrome integration test verifies real model loading, live reasoning stages, full identity, contact, experience, education, strengths, limitations, competitions, research, portfolio synthesis, contributions, unsupported-domain refusal, privacy boundaries, sources, and mobile layout.
Set PROFILE_URL=https://ymrohit.github.io/ to run the same suite against the deployed site.
About
Browser-local AI profile with a 10.95 MB reasoner over 93 public records
ymrohit.github.io/
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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
BranchesTags
Repository files navigation
Rohit AI Profile
Rohit Yelukati Mahendra's minimalist evidence-first portfolio, with a small neural planner that runs entirely in the browser.
Live site:ymrohit.github.io
What ships
  • a 10.95 MB ONNX evidence planner;
  • 98 replaceable public records spanning career, projects, research, achievements, and professional contact;
  • neural retrieval with literal evidence constraints;
  • multi-record synthesis and short follow-up context;
  • compact source receipts and private-data refusal;
  • a locally packaged ONNX Runtime Web engine;
  • no inference server, paid API, analytics, cookies, or prompt transmission.
The frozen model cleared 1,147 fresh validation and hidden cases, including 120 counterfactual pairs, plus 82 full-profile regression checks and 48 browser-persona questions. Every exported ONNX output matches the PyTorch checkpoint on the parity suite. The browser receives only the planner export, vocabulary, runtime, and replaceable evidence corpus.
Run locally
npm ci
npm run dev
The first command installs ONNX Runtime Web. The development and production scripts copy only the required WASM assets into the public bundle.
Validate
npm run build
npm run test:sites
python tests/profile_e2e.py
python tests/persona_matrix_e2e.py
The Chrome integration test verifies real model loading, live reasoning stages, full identity, contact, experience, education, strengths, limitations, competitions, research, portfolio synthesis, contributions, unsupported-domain refusal, privacy boundaries, sources, and mobile layout.
Set PROFILE_URL=https://ymrohit.github.io/ to run the same suite against the deployed site.
About
Browser-local AI profile with a 10.95 MB reasoner over 93 public records
ymrohit.github.io/
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages