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added library

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This commit is contained in:
Tom Mathew
2026-01-20 20:45:35 +05:30
parent f75e4bedee
commit ced94f4820
5 changed files with 754 additions and 110 deletions
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659
package-lock.json generated
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@@ -25,12 +25,15 @@
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},
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@@ -41,6 +44,7 @@
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@@ -226,9 +230,9 @@
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@@ -615,13 +618,13 @@
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@@ -637,13 +640,13 @@
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@@ -657,9 +660,9 @@
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@@ -673,9 +676,9 @@
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@@ -689,9 +692,9 @@
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@@ -705,9 +708,9 @@
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@@ -720,10 +723,26 @@
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@@ -737,9 +756,9 @@
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@@ -753,9 +772,9 @@
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@@ -769,9 +788,9 @@
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@@ -803,13 +822,13 @@
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@@ -825,13 +844,13 @@
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@@ -847,13 +866,35 @@
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@@ -869,13 +910,13 @@
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@@ -891,13 +932,13 @@
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@@ -913,13 +954,13 @@
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@@ -935,20 +976,20 @@
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"integrity": "sha512-FUH39xp3SBPnxWvd5iib1X8XY7J0K0X7d93sie9CJg2PO8/7gmg89Nve6OjItK53/MlAushNNxteBYfM6DEuoA==",
"version": "0.34.5",
"resolved": "https://registry.npmjs.org/sharp/-/sharp-0.34.5.tgz",
"integrity": "sha512-Ou9I5Ft9WNcCbXrU9cMgPBcCK8LiwLqcbywW3t4oDV37n1pzpuNLsYiAV8eODnjbtQlSDwZ2cUEeQz4E54Hltg==",
"hasInstallScript": true,
"license": "Apache-2.0",
"optional": true,
"dependencies": {
"@img/colour": "^1.0.0",
"detect-libc": "^2.1.0",
"semver": "^7.7.2"
"detect-libc": "^2.1.2",
"semver": "^7.7.3"
},
"engines": {
"node": "^18.17.0 || ^20.3.0 || >=21.0.0"
@@ -7093,28 +7515,30 @@
"url": "https://opencollective.com/libvips"
},
"optionalDependencies": {
"@img/sharp-darwin-arm64": "0.34.4",
"@img/sharp-darwin-x64": "0.34.4",
"@img/sharp-libvips-darwin-arm64": "1.2.3",
"@img/sharp-libvips-darwin-x64": "1.2.3",
"@img/sharp-libvips-linux-arm": "1.2.3",
"@img/sharp-libvips-linux-arm64": "1.2.3",
"@img/sharp-libvips-linux-ppc64": "1.2.3",
"@img/sharp-libvips-linux-s390x": "1.2.3",
"@img/sharp-libvips-linux-x64": "1.2.3",
"@img/sharp-libvips-linuxmusl-arm64": "1.2.3",
"@img/sharp-libvips-linuxmusl-x64": "1.2.3",
"@img/sharp-linux-arm": "0.34.4",
"@img/sharp-linux-arm64": "0.34.4",
"@img/sharp-linux-ppc64": "0.34.4",
"@img/sharp-linux-s390x": "0.34.4",
"@img/sharp-linux-x64": "0.34.4",
"@img/sharp-linuxmusl-arm64": "0.34.4",
"@img/sharp-linuxmusl-x64": "0.34.4",
"@img/sharp-wasm32": "0.34.4",
"@img/sharp-win32-arm64": "0.34.4",
"@img/sharp-win32-ia32": "0.34.4",
"@img/sharp-win32-x64": "0.34.4"
"@img/sharp-darwin-arm64": "0.34.5",
"@img/sharp-darwin-x64": "0.34.5",
"@img/sharp-libvips-darwin-arm64": "1.2.4",
"@img/sharp-libvips-darwin-x64": "1.2.4",
"@img/sharp-libvips-linux-arm": "1.2.4",
"@img/sharp-libvips-linux-arm64": "1.2.4",
"@img/sharp-libvips-linux-ppc64": "1.2.4",
"@img/sharp-libvips-linux-riscv64": "1.2.4",
"@img/sharp-libvips-linux-s390x": "1.2.4",
"@img/sharp-libvips-linux-x64": "1.2.4",
"@img/sharp-libvips-linuxmusl-arm64": "1.2.4",
"@img/sharp-libvips-linuxmusl-x64": "1.2.4",
"@img/sharp-linux-arm": "0.34.5",
"@img/sharp-linux-arm64": "0.34.5",
"@img/sharp-linux-ppc64": "0.34.5",
"@img/sharp-linux-riscv64": "0.34.5",
"@img/sharp-linux-s390x": "0.34.5",
"@img/sharp-linux-x64": "0.34.5",
"@img/sharp-linuxmusl-arm64": "0.34.5",
"@img/sharp-linuxmusl-x64": "0.34.5",
"@img/sharp-wasm32": "0.34.5",
"@img/sharp-win32-arm64": "0.34.5",
"@img/sharp-win32-ia32": "0.34.5",
"@img/sharp-win32-x64": "0.34.5"
}
},
"node_modules/shebang-command": {
@@ -7582,6 +8006,12 @@
"integrity": "sha512-IQrh3lEPM93wVCEczc9SaAOvkmcoQn/G8Bo1e8ZPlY3X3bnAxWaBdvTdvM1hP62iZp0BXWDy4vTAy4fF0+Dlpg==",
"license": "MIT"
},
"node_modules/tiny-invariant": {
"version": "1.3.3",
"resolved": "https://registry.npmjs.org/tiny-invariant/-/tiny-invariant-1.3.3.tgz",
"integrity": "sha512-+FbBPE1o9QAYvviau/qC5SE3caw21q3xkvWKBtja5vgqOWIHHJ3ioaq1VPfn/Szqctz2bU/oYeKd9/z5BL+PVg==",
"license": "MIT"
},
"node_modules/tinyglobby": {
"version": "0.2.15",
"resolved": "https://registry.npmjs.org/tinyglobby/-/tinyglobby-0.2.15.tgz",
@@ -7954,6 +8384,15 @@
"node": ">= 4"
}
},
"node_modules/warning": {
"version": "4.0.3",
"resolved": "https://registry.npmjs.org/warning/-/warning-4.0.3.tgz",
"integrity": "sha512-rpJyN222KWIvHJ/F53XSZv0Zl/accqHR8et1kpaMTD/fLCRxtV8iX8czMzY7sVZupTI3zcUTg8eycS2kNF9l6w==",
"license": "MIT",
"dependencies": {
"loose-envify": "^1.0.0"
}
},
"node_modules/webgl-constants": {
"version": "1.1.1",
"resolved": "https://registry.npmjs.org/webgl-constants/-/webgl-constants-1.1.1.tgz",

4
package.json
View File

@@ -26,12 +26,15 @@
"mongoose": "^8.19.1",
"motion": "^12.23.24",
"next": "^16.1.1",
"pdf-lib": "^1.17.1",
"react": "19.1.0",
"react-awesome-reveal": "^4.3.1",
"react-dom": "19.1.0",
"react-icons": "^5.5.0",
"react-pdf": "^10.3.0",
"react-type-animation": "^3.2.0",
"react-typed": "^2.0.12",
"sharp": "^0.34.5",
"tailwind-merge": "^3.4.0"
},
"devDependencies": {
@@ -42,6 +45,7 @@
"@types/react-dom": "^19",
"eslint": "^9",
"eslint-config-next": "15.5.4",
"pdf-poppler": "^0.2.3",
"tailwindcss": "^4",
"typescript": "5.9.3"
}

89
scripts/extract-covers.mjs Normal file
View File

@@ -0,0 +1,89 @@
// Script to extract first page of PDFs as cover images
// Run with: node scripts/extract-covers.mjs
import { exec } from 'child_process';
import { promisify } from 'util';
import fs from 'fs';
import path from 'path';
const execAsync = promisify(exec);
const booksDir = './public/books';
const coversDir = './public/books/covers';
// Mapping of PDF files to their cover image names
const bookCovers = {
'mathematics-for-machine-learning.pdf': 'mathematics-for-machine-learning.jpg',
'pattern-recognition-and-machine-learning.pdf': 'pattern-recognition-and-machine-learning.jpg',
'hands-on-machine-learning.pdf': 'hands-on-machine-learning.jpg',
'deep-learning.pdf': 'deep-learning.jpg',
'Reinforcement Learning Richard S. Sutton and Andrew G. Barto.pdf': 'reinforcement-learning-sutton-barto.jpg',
'ML Machine Learning-A Probabilistic Perspective.pdf': 'ml-probabilistic-perspective.jpg',
'Designing Machine Learning Systems.pdf': 'designing-machine-learning-systems.jpg',
'CUDA_C_Programming_Guide.pdf': 'cuda-c-programming-guide.jpg',
'cuda-programming.pdf': 'cuda-programming.jpg',
'programming-massively-parallel-processors-a-hands-on-approach-4nbsped-9780323912310_compress.pdf': 'programming-massively-parallel-processors.jpg',
'reinforcement learning.pdf': 'reinforcement-learning.jpg',
};
async function extractCover(pdfFile, coverName) {
const pdfPath = path.join(booksDir, pdfFile);
const coverPath = path.join(coversDir, coverName);
if (!fs.existsSync(pdfPath)) {
console.log(`⚠️ PDF not found: ${pdfFile}`);
return;
}
try {
// Using sips (macOS built-in) or ImageMagick's convert
// First, let's try using pdftoppm which is commonly available
const outputBase = coverPath.replace('.jpg', '');
// Try pdftoppm first (from poppler)
try {
await execAsync(`pdftoppm -jpeg -f 1 -l 1 -r 150 "${pdfPath}" "${outputBase}"`);
// pdftoppm adds -1 suffix, so rename
const generatedFile = `${outputBase}-1.jpg`;
if (fs.existsSync(generatedFile)) {
fs.renameSync(generatedFile, coverPath);
console.log(`✅ Extracted: ${coverName}`);
return;
}
} catch (e) {
// pdftoppm not available, try alternative
}
// Alternative: use sips on macOS (requires preview/quick look)
// Or use ImageMagick
try {
await execAsync(`convert -density 150 "${pdfPath}[0]" -quality 90 "${coverPath}"`);
console.log(`✅ Extracted (ImageMagick): ${coverName}`);
return;
} catch (e) {
console.log(`⚠️ Could not extract ${pdfFile}. Install poppler or ImageMagick.`);
}
} catch (error) {
console.error(`❌ Error extracting ${pdfFile}:`, error.message);
}
}
async function main() {
// Ensure covers directory exists
if (!fs.existsSync(coversDir)) {
fs.mkdirSync(coversDir, { recursive: true });
}
console.log('📚 Extracting book covers...\n');
for (const [pdf, cover] of Object.entries(bookCovers)) {
await extractCover(pdf, cover);
}
console.log('\n✨ Done!');
console.log('\nIf extraction failed, install poppler:');
console.log(' macOS: brew install poppler');
console.log(' Ubuntu: sudo apt-get install poppler-utils');
}
main();

16
src/app/onlineresources/page.tsx
View File

@@ -43,6 +43,22 @@ const BentoCard = ({ item, onClick }: BentoCardProps) => {
whileHover={{ scale: 1.02, boxShadow: "0 20px 25px -5px rgba(0, 0, 0, 0.5)" }}
className={`relative overflow-hidden rounded-3xl border border-slate-800 bg-gradient-to-br from-[#0b0d14] to-[#050608] group cursor-pointer ${item.span}`}
>
{/* Book Cover Background Image */}
{item.type === 'book' && item.coverImage && (
<div
className="absolute inset-0 bg-cover bg-center bg-no-repeat transition-all duration-500"
style={{
backgroundImage: `url(${item.coverImage})`,
filter: 'blur(2px) brightness(0.3)',
}}
/>
)}
{/* Fallback gradient for items without cover images */}
{(!item.coverImage || item.type !== 'book') && (
<div
className="absolute inset-0 bg-gradient-to-br from-[#0b0d14] to-[#050608]"
/>
)}
{/* Animated gradient overlay */}
<motion.div
className="absolute inset-0 opacity-0 group-hover:opacity-20 transition-opacity duration-500"

96
src/data/resources.ts
View File

@@ -9,6 +9,7 @@ export interface ResourceItem {
description: string;
link: string;
downloadUrl?: string;
coverImage?: string; // Optional cover image for books
color: string;
span: string;
}
@@ -24,6 +25,7 @@ export const resources: ResourceItem[] = [
description: "The fundamental mathematical tools needed to understand machine learning.",
link: "/books/mathematics-for-machine-learning.pdf",
downloadUrl: "/books/mathematics-for-machine-learning.pdf",
coverImage: "/books/covers/mathematics-for-machine-learning.jpg",
color: "rgb(132, 0, 255)", // Purple
span: "md:col-span-1 md:row-span-2",
},
@@ -36,6 +38,7 @@ export const resources: ResourceItem[] = [
description: "A comprehensive guide to pattern recognition. The classic textbook.",
link: "/books/pattern-recognition-and-machine-learning.pdf",
downloadUrl: "/books/pattern-recognition-and-machine-learning.pdf",
coverImage: "/books/covers/pattern-recognition-and-machine-learning.jpg",
color: "rgb(6, 182, 212)", // Cyan
span: "md:col-span-1 md:row-span-2",
},
@@ -48,6 +51,7 @@ export const resources: ResourceItem[] = [
description: "Learn Scikit-Learn, Keras, and TensorFlow with practical examples.",
link: "/books/hands-on-machine-learning.pdf",
downloadUrl: "/books/hands-on-machine-learning.pdf",
coverImage: "/books/covers/hands-on-machine-learning.jpg",
color: "rgb(255, 165, 0)", // Orange
span: "md:col-span-1 md:row-span-2",
},
@@ -60,9 +64,101 @@ export const resources: ResourceItem[] = [
description: "The Bible of Deep Learning. Covers theoretical foundations and modern architectures.",
link: "/books/deep-learning.pdf",
downloadUrl: "/books/deep-learning.pdf",
coverImage: "/books/covers/deep-learning.jpg",
color: "rgb(236, 72, 153)", // Pink
span: "md:col-span-1 md:row-span-2",
},
{
id: "book-sutton-rl",
title: "Reinforcement Learning: An Introduction",
author: "Richard S. Sutton & Andrew G. Barto",
type: "book",
size: "5 MB",
description: "The foundational textbook on reinforcement learning, covering key algorithms and theory.",
link: "/books/Reinforcement Learning Richard S. Sutton and Andrew G. Barto.pdf",
downloadUrl: "/books/Reinforcement Learning Richard S. Sutton and Andrew G. Barto.pdf",
coverImage: "/books/covers/reinforcement-learning-sutton-barto.jpg",
color: "rgb(34, 197, 94)", // Green
span: "md:col-span-1 md:row-span-2",
},
{
id: "book-murphy-ml",
title: "Machine Learning: A Probabilistic Perspective",
author: "Kevin P. Murphy",
type: "book",
size: "30 MB",
description: "A comprehensive introduction to machine learning from a probabilistic viewpoint.",
link: "/books/ML Machine Learning-A Probabilistic Perspective.pdf",
downloadUrl: "/books/ML Machine Learning-A Probabilistic Perspective.pdf",
coverImage: "/books/covers/ml-probabilistic-perspective.jpg",
color: "rgb(249, 115, 22)", // Orange
span: "md:col-span-1 md:row-span-2",
},
{
id: "book-designing-ml",
title: "Designing Machine Learning Systems",
author: "Chip Huyen",
type: "book",
size: "10 MB",
description: "An iterative process for production-ready ML applications. Covers MLOps and system design.",
link: "/books/Designing Machine Learning Systems.pdf",
downloadUrl: "/books/Designing Machine Learning Systems.pdf",
coverImage: "/books/covers/designing-machine-learning-systems.jpg",
color: "rgb(168, 85, 247)", // Purple
span: "md:col-span-1 md:row-span-2",
},
{
id: "book-cuda-guide",
title: "CUDA C Programming Guide",
author: "NVIDIA",
type: "book",
size: "8 MB",
description: "Official NVIDIA guide for CUDA C programming and GPU computing fundamentals.",
link: "/books/CUDA_C_Programming_Guide.pdf",
downloadUrl: "/books/CUDA_C_Programming_Guide.pdf",
coverImage: "/books/covers/cuda-c-programming-guide.jpg",
color: "rgb(34, 211, 238)", // Cyan
span: "md:col-span-1 md:row-span-2",
},
{
id: "book-cuda-programming",
title: "CUDA Programming",
author: "Shane Cook",
type: "book",
size: "12 MB",
description: "A developer's guide to parallel computing with GPUs using CUDA.",
link: "/books/cuda-programming.pdf",
downloadUrl: "/books/cuda-programming.pdf",
coverImage: "/books/covers/cuda-programming.jpg",
color: "rgb(74, 222, 128)", // Green
span: "md:col-span-1 md:row-span-2",
},
{
id: "book-parallel-processors",
title: "Programming Massively Parallel Processors",
author: "David B. Kirk & Wen-mei W. Hwu",
type: "book",
size: "20 MB",
description: "A hands-on approach to parallel programming with CUDA and GPU architectures.",
link: "/books/programming-massively-parallel-processors-a-hands-on-approach-4nbsped-9780323912310_compress.pdf",
downloadUrl: "/books/programming-massively-parallel-processors-a-hands-on-approach-4nbsped-9780323912310_compress.pdf",
coverImage: "/books/covers/programming-massively-parallel-processors.jpg",
color: "rgb(251, 191, 36)", // Amber
span: "md:col-span-1 md:row-span-2",
},
{
id: "book-rl-intro",
title: "Reinforcement Learning",
author: "Various Authors",
type: "book",
size: "4 MB",
description: "Introduction to reinforcement learning concepts and algorithms.",
link: "/books/reinforcement learning.pdf",
downloadUrl: "/books/reinforcement learning.pdf",
coverImage: "/books/covers/reinforcement-learning.jpg",
color: "rgb(244, 63, 94)", // Rose
span: "md:col-span-1 md:row-span-2",
},
// --- VIDEOS (6 Items) ---
{