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‎gitprofile.config.ts‎

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@@ -25,27 +25,31 @@ const CONFIG = {
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},
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manual: {
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// Properties for manually specifying projects
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projects: ['AbdulMalikDev/MjcetWiki', 'somethingdevs/secure-mini-mono', 'somethingdevs/cs678-jeebench', 'somethingdevs/almost-final-countdown', 'gokulprathin8/transcribify'], // List of repository names to display. example: ['arifszn/my-project1', 'arifszn/my-project2']
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projects: [
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'AbdulMalikDev/MjcetWiki',
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'somethingdevs/secure-mini-mono',
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'somethingdevs/cs678-jeebench',
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'somethingdevs/almost-final-countdown',
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'gokulprathin8/transcribify',
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], // List of repository names to display. example: ['arifszn/my-project1', 'arifszn/my-project2']
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},
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},
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external: {
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header: 'My Projects',
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// To hide the `External Projects` section, keep it empty.
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projects: [
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{
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title: 'Transcribify',
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description:
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'Developed for Patriot Hack 2024 (Won Runner-up!). Transcribify makes video transcription accessible and efficient using AWS Transcribe and Comprehend. We built a scalable solution with React.js, Next.js, and AWS services, focusing on real-time updates, user experience, and cost optimization.',
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imageUrl:
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'/loyaltyfirst_inc.webp',
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link: 'https://github.com/gokulprathin8/transcribify',
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},
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title: 'Transcribify',
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description:
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'Developed for Patriot Hack 2024 (Won Runner-up!). Transcribify makes video transcription accessible and efficient using AWS Transcribe and Comprehend. We built a scalable solution with React.js, Next.js, and AWS services, focusing on real-time updates, user experience, and cost optimization.',
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imageUrl: '/loyaltyfirst_inc.webp',
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link: 'https://github.com/gokulprathin8/transcribify',
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},
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{
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title: 'LLMS vs JEE Advanced: Indian Teenagers Worst Nightmare!',
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description:
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'This project investigates the performance of GPT-4 and other LLMs on JEEBench, a benchmark consisting of 515 difficult pre-engineering problems from the IIT JEE-Advanced exam. It aims to assess the ability of the model to solve complex reasoning problems in math, physics, and chemistry.',
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imageUrl:
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'/llms_vs_jee_advanced.webp',
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'This project investigates the performance of GPT-4 and other LLMs on JEEBench, a benchmark consisting of 515 difficult pre-engineering problems from the IIT JEE-Advanced exam. It aims to assess the ability of the model to solve complex reasoning problems in math, physics, and chemistry.',
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imageUrl: '/llms_vs_jee_advanced.webp',
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link: 'https://github.com/somethingdevs/cs678-jeebench',
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},
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],
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email: '[email protected]',
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},
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resume: {
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fileUrl:
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'/resume.pdf', // Empty fileUrl will hide the `Download Resume` button.
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fileUrl: '/resume.pdf', // Empty fileUrl will hide the `Download Resume` button.
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},
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skills: [
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'JavaScript',
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'Git',
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'Docker',
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'AWS',
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'Figma'
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],
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'Figma',
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],
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experiences: [
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{
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company: 'The Ingentas',
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],
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publications: [
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{
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title: 'An Initial Framework for Mobile Healthcare Systems using Deep Neural Networks',
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conferenceName: 'IEEE 9th International Conference on Advanced Computing (IACC)',
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title:
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'An Initial Framework for Mobile Healthcare Systems using Deep Neural Networks',
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conferenceName:
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'IEEE 9th International Conference on Advanced Computing (IACC)',
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journalName: '',
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authors: 'M. Misbhauddin, M. A. Malik, A. H. Mohiuddin',
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link: 'https://ieeexplore.ieee.org/document/8971543',
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description:
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'This paper reviews advancements in mobile healthcare applications using deep learning over the past 2-3 years, classifying them into cloud-computing, edge-computing, and offline systems. It also proposes an initial framework for mobile healthcare applications using deep neural networks for disease identification, management, and prevention.',
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}
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},
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],
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// Display articles from your medium or dev account. (Optional)
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blog: {
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source: '', // medium | dev

‎index.html‎

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<!doctype html>
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<!doctype html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<link rel="icon" type="image/svg+xml" href="/favicon.ico" />
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<link rel="apple-touch-icon" href="/apple-touch-icon.png" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title><%- metaTitle %></title>
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<meta property="title" content="<%- metaTitle %>" />
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<meta name="description" content="<%- metaDescription %>" />
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<head>
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<meta charset="UTF-8" />
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<link rel="icon" type="image/png" href="/favicon-32x32.png" sizes="32x32" />
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<link rel="icon" type="image/png" href="/favicon-16x16.png" sizes="16x16" />
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<link rel="apple-touch-icon" href="/apple-touch-icon.png" />
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0-beta3/css/all.min.css">
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title><%- metaTitle %></title>
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<meta itemprop="name" content="<%- metaTitle %>" />
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<meta itemprop="description" content="<%- metaDescription %>" />
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<meta itemprop="image" content="<%- metaImageURL %>" />
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<meta property="title" content="<%- metaTitle %>" />
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<meta name="description" content="<%- metaDescription %>" />
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<meta property="og:title" content="<%- metaTitle %>" />
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<meta property="og:description" content="<%- metaDescription %>" />
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<meta property="og:image" content="<%- metaImageURL %>" />
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<meta property="og:image:secure_url" content="<%- metaImageURL %>" />
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<meta itemprop="name" content="<%- metaTitle %>" />
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<meta itemprop="description" content="<%- metaDescription %>" />
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<meta itemprop="image" content="<%- metaImageURL %>" />
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<meta name="twitter:card" content="summary_large_image" />
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<meta name="twitter:title" content="<%- metaTitle %>" />
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<meta name="twitter:description" content="<%- metaDescription %>" />
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<meta name="twitter:image" content="<%- metaImageURL %>" />
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</head>
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<body>
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<div id="root"></div>
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<script type="module" src="/src/main.tsx"></script>
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</body>
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</html>
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<meta property="og:title" content="<%- metaTitle %>" />
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<meta property="og:description" content="<%- metaDescription %>" />
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<meta property="og:image" content="<%- metaImageURL %>" />
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<meta property="og:image:secure_url" content="<%- metaImageURL %>" />
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<meta name="twitter:card" content="summary_large_image" />
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<meta name="twitter:title" content="<%- metaTitle %>" />
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<meta name="twitter:description" content="<%- metaDescription %>" />
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<meta name="twitter:image" content="<%- metaImageURL %>" />
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</head>
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<body>
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<div id="root"></div>
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<script type="module" src="/src/main.tsx"></script>
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</body>
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</html>

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