Add more media that are relevant to the projects

.woodpecker.yml

@@ -1,123 +1,124 @@
 steps:
-  build:
+    build:
-		image: node:22
+        image: node:22
-		commands:
+        commands:
-			- npm ci
+            - npm ci
-			- npm run build
+            - npm run build
-			- echo "VERSION=$(cat version.txt)" > .env
+            - echo "VERSION=$(cat version.txt)" > .env
 
-  clear-from-host:
+    clear-from-host:
-		image: appleboy/drone-ssh
+        image: appleboy/drone-ssh
-		settings:
+        settings:
-			host:
+            host:
-				from_secret: ssh_host
+                from_secret: ssh_host
-			username:
+            username:
-				from_secret: ssh_username
+                from_secret: ssh_username
-			key:
+            key:
-				from_secret: ssh_key
+                from_secret: ssh_key
-			port: 2332
+            port: 2332
-			script:
+            script:
-				- cd /home/mnisyif/docker-containers/mnisyif/frontend
+                - cd /home/mnisyif/docker-containers/mnisyif/frontend
-				- rm -rf data index-*.js index-*.css logos papers pp projects
+                - rm -rf data index-*.js index-*.css logos papers pp projects
-				- find . -maxdepth 1 -type f -delete
+                - find . -maxdepth 1 -type f -delete
-				- echo "Target directory cleared, resumes folder preserved"
+                - echo "Target directory cleared, resumes folder preserved"
 
     copy-to-host:
-      image: appleboy/drone-scp
+        image: appleboy/drone-scp
-      settings:
+        settings:
-          host:
+            host:
-              from_secret: ssh_host
+                from_secret: ssh_host
-          username:
+            username:
-              from_secret: ssh_username
+                from_secret: ssh_username
-          key:
+            key:
-              from_secret: ssh_key
+                from_secret: ssh_key
-          port: 2332
+            port: 2332
-          target: /home/mnisyif/docker-containers/mnisyif/frontend
+            target: /home/mnisyif/docker-containers/mnisyif/frontend
-          source:
+            source:
-              - dist/
+                - dist/
-              - nginx.conf
+                - nginx.conf
-              - version.txt
+                - version.txt
-  deploy:
-		image: appleboy/drone-ssh
-		settings:
-			host:
-				from_secret: ssh_host
-			username:
-				from_secret: ssh_username
-			key:
-				from_secret: ssh_key
-			port: 2332
-			script:
-				- cd /home/mnisyif/docker-containers/mnisyif/frontend
-				- VERSION=$(cat version.txt)
-				- echo "Nginx configuration:"
-				- cat nginx.conf
-				- echo "Contents of dist directory:"
-				- ls -la dist
-				# Stop and remove the existing container if it exists
-				- docker stop frontend || true
-				- docker rm frontend || true
-				# Run the new container with the current version, mounting the files
-				- >
-					docker run -d --name frontend -p 5173:80 
-					-v /home/mnisyif/docker-containers/mnisyif/frontend/dist:/usr/share/nginx/html:ro
-					-v /home/mnisyif/docker-containers/mnisyif/frontend/nginx.conf:/etc/nginx/nginx.conf:ro
-					nginx:alpine          
-				# Tag the running container with the version
-				- docker tag nginx:alpine frontend:$VERSION
-				- echo "Deployment completed"
 
-  confirm-deployment:
+    deploy:
-		image: appleboy/drone-ssh
+        image: appleboy/drone-ssh
-		settings:
+        settings:
-			host:
+            host:
-				from_secret: ssh_host
+                from_secret: ssh_host
-			username:
+            username:
-				from_secret: ssh_username
+                from_secret: ssh_username
-			key:
+            key:
-				from_secret: ssh_key
+                from_secret: ssh_key
-			port: 2332
+            port: 2332
-			script:
+            script:
-				- cd /home/mnisyif/docker-containers/mnisyif/frontend
+                - cd /home/mnisyif/docker-containers/mnisyif/frontend
-				- VERSION=$(cat version.txt)
+                - VERSION=$(cat version.txt)
-				- echo "Confirming deployment for version: $VERSION"
+                - echo "Nginx configuration:"
-				- docker ps -a
+                - cat nginx.conf
-				- if ! docker ps | grep -q frontend-$VERSION; then
+                - echo "Contents of dist directory:"
-					echo "Container failed to start";
+                - ls -la dist
-					docker logs frontend-$VERSION;
+                # Stop and remove the existing container if it exists
-					exit 1;
+                - docker stop frontend || true
-					fi
+                - docker rm frontend || true
-				- echo "Container is running, checking Nginx configuration..."
+                # Run the new container with the current version, mounting the files
-				- docker exec frontend-$VERSION nginx -t || { echo "Nginx configuration test failed"; exit 1; }
+                - >
-				- echo "Listing contents of /usr/share/nginx/html"
+                    docker run -d --name frontend -p 5173:80 
-				- docker exec frontend-$VERSION ls -la /usr/share/nginx/html
+                    -v /home/mnisyif/docker-containers/mnisyif/frontend/dist:/usr/share/nginx/html:ro
-				- echo "Listing contents of /usr/share/nginx/html/resumes"
+                    -v /home/mnisyif/docker-containers/mnisyif/frontend/nginx.conf:/etc/nginx/nginx.conf:ro
-				- docker exec frontend-$VERSION ls -la /usr/share/nginx/html/resumes || echo "Resumes directory not found"
+                    nginx:alpine
-				- echo "Checking HTTP response..."
+                # Tag the running container with the version
-				- curl -I http://localhost:5173 || { echo "HTTP request failed"; exit 1; }
+                - docker tag nginx:alpine frontend:$VERSION
-				- echo "Deployment confirmed successfully"
+                - echo "Deployment completed"
 
-  cleanup:
+    confirm-deployment:
-		image: appleboy/drone-ssh
+        image: appleboy/drone-ssh
-		settings:
+        settings:
-			host:
+            host:
-				from_secret: ssh_host
+                from_secret: ssh_host
-			username:
+            username:
-				from_secret: ssh_username
+                from_secret: ssh_username
-			key:
+            key:
-				from_secret: ssh_key
+                from_secret: ssh_key
-			port: 2332
+            port: 2332
-			script:
+            script:
-				- echo "Performing cleanup..."
+                - echo "Verifying deployment..."
-				- docker system prune -f --volumes
+                # Verify the container is running
-				- >
+                - docker ps | grep frontend || { echo "Container failed to start"; exit 1; }
-					for img in $(docker images frontend --format "{{.Tag}}" | grep -v $(cat /home/mnisyif/docker-containers/mnisyif/frontend/version.txt)); do
+                # Display container logs
-						docker rmi frontend:$img || true;
+                - docker logs frontend
-					done
+                # Test Nginx configuration
-				- echo "Cleanup completed"
+                - docker exec frontend nginx -t
+                # Check Nginx process
+                - docker exec frontend ps aux | grep nginx
+                # Check contents of /usr/share/nginx/html in the container
+                - docker exec frontend ls -la /usr/share/nginx/html
+                # Perform a simple HTTP request to check if the server is responding
+                - curl -I http://localhost:5173 || { echo "HTTP request failed"; exit 1; }
+                - echo "Deployment confirmed successfully"
 
-trigger:
+    cleanup:
-    branch:
+        image: appleboy/drone-ssh
-        - master
+        settings:
-    event:
+            host:
-        - push
+                from_secret: ssh_host
+            username:
+                from_secret: ssh_username
+            key:
+                from_secret: ssh_key
+            port: 2332
+            script:
+                - echo "Performing cleanup..."
+                - docker system prune -f --volumes
+                - >
+                    for img in $(docker images frontend --format "{{.Tag}}" | grep -v $(cat /home/mnisyif/docker-containers/mnisyif/frontend/version.txt)); do
+                      docker rmi frontend:$img || true
+                    done
+                - echo "Cleanup completed"
+
+# trigger:
+#     branch:
+#         - master
+#     event:
+#         - push
+
+when:
+  - branch: master
+    event: push

index.html

@@ -2,7 +2,7 @@
 <html lang="en">
 	<head>
 		<meta charset="UTF-8" />
-		<link rel="icon" type="image/svg+xml" href="/logos/logo.png" />
+		<link rel="icon" type="image/svg+xml" href="/logos/favicon.svg" />
 		<meta name="viewport" content="width=device-width, initial-scale=1.0" />
 		<title>Murtadha Nisyif | Portfolio</title>
 	</head>

public/assets/data/projectsData.json

@@ -2,52 +2,147 @@
 	{
 		"id": 1,
 		"title": "PaperKeypad",
-		"category": "Misc",
+		"category": ["Misc"],
 		"images": ["/assets/projects/keypad0.jpg"],
 		"description": "Ever need to use a keyboard, but you got only your phone and a printer, PaperKeypad is a keypad that is made of paper.",
 		"technologies": ["Java", "JavaFX", "Android Studio"],
 		"features": ["Mobile sensor manipulation", "Responsive design"],
-		"githubLink": "https://github.com/betato/PaperKeypad"
+		"githubLink": "https://github.com/betato/PaperKeypad",
+		"date": 2019
 	},
 	{
 		"id": 2,
 		"title": "StonkBot",
-		"category": "Misc",
+		"category": ["Misc"],
 		"images": ["/assets/projects/stonkbot0.jpg"],
 		"description": "The fear of losing money is common among first-time and seasoned investors alike. This inspired the creation of Stonk Bot, a fantasy trading platform that can be implemented in Discord.",
 		"technologies": ["Python", "VS Code", "Matplotlib", "Financial Modeling Prep API", "Discord API"],
 		"features": ["Buy shares", "Sell shares", "View stock information", "View personal portfolio", "View leaderboard"],
 		"githubLink": "https://github.com/aidanbruneel/stonkbot",
-		"liveLink": "https://discord.com/invite/tQNkk7v7R8"
+		"liveLink": "https://discord.com/invite/tQNkk7v7R8",
+		"date": 2022
 	},
 	{
 		"id": 3,
 		"title": "Car Model Classification",
-		"category": "Machine Learning",
+		"category": ["Machine Learning"],
 		"images": ["/assets/projects/carmodelclass0.png"],
 		"description": "Developing a computer vision application to identify a vehicle model from a given image is an interesting and challenging problem to solve. Challenge of this problem is that different vehicle models can appear very similar and the same vehicle can look different and hard to identify depending on lighting conditions, angle and many other factors. In this project, I decided to train a Convolutional Neural Network(CNN) to generate a model that can identify a given vehicle model.",
 		"technologies": ["Python", "Tensorflow", "CNN", "Deep learning", "ResNet", "EfficientNet", "Stanford Cars Dataset"],
 		"features": ["Buy shares", "Sell shares", "View stock information", "View personal portfolio", "View leaderboard"],
-		"githubLink": "https://github.com/mnisyif/carClassificationModel"
+		"githubLink": "https://github.com/mnisyif/carClassificationModel",
+		"date": 2022
 	},
 	{
 		"id": 4,
 		"title": "Memory Allocation Simulations",
-		"category": "Misc",
+		"category": ["Misc"],
 		"images": ["/assets/projects/memallc0.png"],
 		"description": "This implementation uses doubly linked list to simulate memory allocation given 4 different memory management algorithms",
 		"technologies": ["C", "CMake", "Data structures"],
 		"features": ["First fit", "Best fit", "Next fit", "Worst fit"],
-		"githubLink": "https://github.com/mnisyif/MemoryAllocationAlgorithm/tree/main"
+		"githubLink": "https://github.com/mnisyif/MemoryAllocationAlgorithm/tree/main",
+		"date": 2022
 	},
 	{
 		"id": 5,
-		"title": "Portfolio Website",
+		"title": "Transformer-based Semantic Transcoding",
-		"category": "Web Development",
+		"category": ["Machine Learning"],
-		"images": ["/assets/projects/memallc0.png"],
+		"images": ["/assets/projects/semantic01.png"],
-		"description": "This implementation uses doubly linked list to simulate memory allocation given 4 different memory management algorithms",
+		"description": "Developed PyTorch models for E2E semantic transcoding, deployed on Xilinx SoC boards using Vitis AI™",
-		"technologies": ["C", "CMake", "Data structures"],
+		"technologies": ["PyTorch", "Vitis AI", "Xilinx SoC", "Machine Learning", "C++"],
-		"features": ["First fit", "Best fit", "Next fit", "Worst fit"],
+		"features": ["E2E semantic transcoding", "Hardware acceleration", "SoC deployment", "C++ deployment"],
-		"githubLink": "https://github.com/mnisyif/MemoryAllocationAlgorithm/tree/main"
+		"githubLink": "https://github.com/mnisyif/masters-research",
-	}
+		"date": 2024
+	},
+	{
+		"id": 6,
+		"title": "Clean Architecture C# Backend",
+		"category": ["Web Development"],
+		"images": ["/assets/projects/clean_architecture_backend.png"],
+		"description": "Engineered a scalable portfolio website backend using C#, adhering to Clean Architecture principles and implementing CI/CD pipeline for efficient deployment",
+		"technologies": ["C#", "Clean Architecture", "CI/CD", "REST Api"],
+		"features": ["Scalable backend", "Clean Architecture implementation", "Automated deployment", "RESTful"],
+		"githubLink": "https://github.com/mnisyif/portfolio-backend",
+		"date": 2024
+	},
+	{
+		"id": 7,
+		"title": "DevOps Homelab Maestro",
+		"category": ["DevOps"],
+		"images": ["/assets/projects/homelab_maestro.png"],
+		"description": "Orchestrating a robust homelab environment with Docker containers, Kubernetes clusters, Ceph distributed storage, and CI/CD pipelines for seamless application deployment",
+		"technologies": ["Docker", "Kubernetes", "Ceph", "CI/CD"],
+		"features": ["Containerized applications", "Orchestration", "Distributed storage", "Automated deployment"],
+		"date": 2023
+	},
+	{
+		"id": 8,
+		"title": "RL Dynamic Noise Cancelling",
+		"category": ["Machine Learning"],
+		"images": ["/assets/projects/noise_cancelling.png"],
+		"description": "Implemented real-time Automatic Noise Filtering using Reinforcement Learning and Dynamic Sparse Training in PyTorch",
+		"technologies": ["PyTorch", "Reinforcement Learning", "Dynamic Sparse Training", "Jupyter Notebooks"],
+		"features": ["Real-time filtering", "Automatic noise cancellation", "Sparse training", "Interactive development"],
+		"githubLink": "https://github.com/mnisyif/rl-noise-cancelling",
+		"date": 2023
+	},
+	{
+		"id": 9,
+		"title": "Real-Time Text-to-Braille",
+		"category": ["Embedded Systems"],
+		"images": ["/assets/projects/braille01.jpg","/assets/projects/braille02.jpg"],
+		"description": "Built a Raspberry Pi device for real-time image-to-Braille conversion, enhancing accessibility for the deaf-blind community",
+		"technologies": ["Raspberry Pi", "Image Processing", "OCR", "Python"],
+		"features": ["Real-time conversion", "Low-cost OCR algorithm", "Lookup table for Braille conversion", "Accessibility enhancement"],
+		"date": 2023
+	},
+	{
+		"id": 10,
+		"title": "ZAMAZ UTI Diagnosis",
+		"category": ["Embedded Systems"],
+		"images": ["/assets/projects/zamaz01.jpg","/assets/projects/zamaz02.jpg"],
+		"description": "Developed a Raspberry Pi-based system for automated urine test analysis, achieving 16x faster results than standard methods",
+		"technologies": ["Raspberry Pi", "Python", "Image Processing", "Healthcare Technology"],
+		"features": ["Automated analysis", "Pixel-based concentration calculation", "E. Coli and Staph bacteria detection", "Rapid results"],
+		"date": 2022
+	},
+	{
+		"id": 11,
+		"title": "HAM10K Image Classification with Deep Networks",
+		"category": ["Machine Learning"],
+		"images": ["/assets/projects/ham10k_classification.png"],
+		"description": "Developed and compared three deep learning models (MLP+PCA, DCNN, RegNetY-320) for skin cancer classification using the HAM10000 dataset, achieving 96.89% accuracy with RegNetY-320",
+		"technologies": ["PyTorch", "Deep Learning", "CNN", "RegNet", "PCA", "Python"],
+		"features": ["Multi-model comparison", "Data balancing and augmentation", "High accuracy classification", "Medical image analysis"],
+		"githubLink": "https://github.com/nithinprasad94/ENGG6600_DL_Final_Project",
+		"liveLink":"https://youtu.be/zHbRmIn7gPo",
+		"date": 2023
+	},
+	{
+		"id": 12,
+		"title": "Heart Disease Prediction Web App",
+		"category": ["Machine Learning", "Web Development"],
+		"images": ["/assets/projects/heartdis01.png"],
+		"description": "Developed a Flask-based web application that predicts the likelihood of heart disease using machine learning models. The app processes user input, applies feature encoding and scaling, and provides instant predictions.",
+		"technologies": [
+		  "Python",
+		  "Flask",
+		  "NumPy",
+		  "Scikit-learn",
+		  "Pickle",
+		  "HTML",
+		  "Machine Learning"
+		],
+		"features": [
+		  "User-friendly web interface for input",
+		  "Real-time prediction using pre-trained model",
+		  "Feature encoding and scaling",
+		  "Integration of multiple ML preprocessing steps",
+		  "Handling of both categorical and numerical inputs"
+		],
+		"githubLink": "https://github.com/zeyadghulam/engg6600-assignment3",
+		"date":2023
+	  }
+
 ]

public/assets/logos/favicon.svg

@@ -0,0 +1,30 @@
+<?xml version="1.0" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 20010904//EN"
+ "http://www.w3.org/TR/2001/REC-SVG-20010904/DTD/svg10.dtd">
+<svg version="1.0" xmlns="http://www.w3.org/2000/svg"
+ width="257.000000pt" height="257.000000pt" viewBox="0 0 257.000000 257.000000"
+ preserveAspectRatio="xMidYMid meet">
+
+<g transform="translate(0.000000,257.000000) scale(0.100000,-0.100000)"
+fill="#000000" stroke="none">
+<path d="M1 2043 l1 -528 23 90 c60 238 179 440 362 616 173 166 351 266 578
+324 l90 23 -527 1 -528 1 1 -527z"/>
+<path d="M1595 2545 c238 -60 440 -179 616 -362 103 -108 163 -191 222 -308
+67 -133 105 -254 130 -405 2 -14 5 228 6 538 l1 562 -532 -1 -533 -1 90 -23z"/>
+<path d="M1056 2544 c-243 -44 -481 -165 -665 -338 -131 -124 -277 -364 -329
+-541 -70 -234 -70 -516 0 -750 52 -177 198 -417 329 -541 138 -130 348 -253
+514 -302 177 -53 415 -67 591 -37 250 44 486 163 673 339 131 124 277 364 329
+541 70 234 70 516 0 750 -49 166 -172 376 -302 514 -124 131 -364 277 -541
+329 -175 52 -427 67 -599 36z m812 -1128 c171 -101 313 -181 316 -178 4 3 6
+86 6 184 l0 178 115 0 115 0 0 -305 0 -305 -117 0 -118 0 -310 180 -310 179
+-3 -177 c-2 -125 -6 -178 -15 -184 -6 -4 -65 -8 -129 -8 l-118 0 0 155 0 156
+-151 -156 -151 -155 -142 0 -141 0 -152 152 -153 153 0 -153 0 -152 -120 0
+-120 0 0 305 0 305 118 0 118 0 84 -87 c47 -49 147 -153 224 -231 l140 -144
+231 236 230 237 121 -1 120 0 312 -184z"/>
+<path d="M2560 1105 c0 -85 -75 -309 -149 -442 -82 -151 -244 -330 -391 -435
+-153 -108 -354 -187 -560 -221 -14 -2 230 -5 543 -6 l567 -1 0 565 c0 311 -2
+565 -5 565 -3 0 -5 -11 -5 -25z"/>
+<path d="M1 533 l-1 -533 563 1 c309 1 551 4 537 6 -151 25 -272 63 -405 130
+-117 59 -200 119 -308 222 -183 176 -302 378 -362 616 l-23 90 -1 -532z"/>
+</g>
+</svg>

src/App.jsx

@@ -13,6 +13,8 @@ import InfoSection from "./shared/components/info/InfoSection";
 
 import styles from "./App.module.css";
 
+import { fetchEducationData, fetchExperienceData, fetchPersonalData, fetchProjectsData } from "./utils/dataFetcher";
+
 function App() {
 	const [educationData, setEducationData] = useState([]);
 	const [experienceData, setExperienceData] = useState([]);
@@ -20,35 +22,21 @@ function App() {
 	const [personalData, setPersonalData] = useState([]);
 
 	useEffect(() => {
-		const fetchEducationData = async () => {
+		const fetchData = async () => {
-			const response = await fetch("/assets/data/educationData.json");
+		  const education = await fetchEducationData();
-			const data = await response.json();
+		  setEducationData(education);
-			setEducationData(data);
+	
+		  const experience = await fetchExperienceData();
+		  setExperienceData(experience);
+	
+		  const projects = await fetchProjectsData();
+		  setProjectsData(projects);
+	
+		  const personal = await fetchPersonalData();
+		  setPersonalData(personal);
 		};
 	
-		const fetchExperienceData = async () => {
+		fetchData();
-			const response = await fetch("/assets/data/experienceData.json");
-			const data = await response.json();
-			setExperienceData(data);
-		};
-
-		const fetchProjectsData = async () => {
-			const response = await fetch("/assets/data/projectsData.json");
-			const data = await response.json();
-			setProjectsData(data);
-		};
-
-		const fetchPersonalData = async () => {
-			const response = await fetch("/assets/data/personalData.json");
-			const data = await response.json();
-			setPersonalData(data);
-			// console.log(data)
-		};
-
-		fetchEducationData();
-		fetchExperienceData();
-		fetchProjectsData();
-		fetchPersonalData();
 	}, []);
 
 	return (

src/components/projects/Projects.jsx

@@ -17,13 +17,16 @@ function Projects({ title, data }) {
 	}, []);
 
 	const categories = useMemo(() => {
-		const cats = new Set(data.map((project) => project.category));
+		const cats = new Set(data.flatMap((project) => project.category));
 		return ["All", ...Array.from(cats)];
 	}, [data]);
 
-	const filteredProjects = useMemo(() => {
+	const sortedAndFilteredProjects = useMemo(() => {
-		if (activeFilter === "All") return data;
+		let filteredProjects = activeFilter === "All"
-		return data.filter((project) => project.category === activeFilter);
+			? data
+			: data.filter((project) => project.category.includes(activeFilter));
+		
+		return filteredProjects.sort((a, b) => b.date - a.date);
 	}, [data, activeFilter]);
 
 	const handleFilterClick = (category) => {
@@ -41,14 +44,23 @@ function Projects({ title, data }) {
 			<h2 className={styles.sectionTitle}>{title}</h2>
 			<div className={styles.filterContainer}>
 				{categories.map((category) => (
-					<button key={category} className={`${styles.filterButton} ${activeFilter === category ? styles.active : ""}`} onClick={() => handleFilterClick(category)}>
+					<button 
+						key={category} 
+						className={`${styles.filterButton} ${activeFilter === category ? styles.active : ""}`} 
+						onClick={() => handleFilterClick(category)}
+					>
 						{category}
 					</button>
 				))}
 			</div>
 			<div className={styles.projectGrid}>
-				{filteredProjects.map((project) => (
+				{sortedAndFilteredProjects.map((project) => (
-					<ProjectCard key={project.id} project={project} onClick={openModal} className={animatingOut ? styles.fadeOut : styles.fadeIn} />
+					<ProjectCard 
+						key={project.id} 
+						project={project} 
+						onClick={openModal} 
+						className={animatingOut ? styles.fadeOut : styles.fadeIn} 
+					/>
 				))}
 			</div>
 			{selectedProject && <ProjectModal project={selectedProject} onClose={closeModal} />}

src/components/projects/projectCard/ProjectCard.jsx

@@ -1,7 +1,44 @@
-import React from "react";
+import React, { useRef, useEffect, useState } from "react";
 import styles from "./ProjectCard.module.css";
 
 function ProjectCard({ project, onClick, className }) {
+	const [truncatedDescription, setTruncatedDescription] = useState(project.description);
+	const descriptionRef = useRef(null);
+
+	const formatList = (items) => {
+		return items.map((item, index, arr) => (
+			<React.Fragment key={index}>
+				{item}
+				{index < arr.length - 1 && <span className={styles.separator}>, </span>}
+			</React.Fragment>
+		));
+	};
+
+	useEffect(() => {
+		const truncateDescription = () => {
+			const element = descriptionRef.current;
+			if (!element) return;
+
+			const maxHeight = parseInt(window.getComputedStyle(element).lineHeight) * 4; // 4 lines
+			let text = project.description;
+			element.textContent = text;
+
+			while (element.scrollHeight > maxHeight && text.length > 0) {
+				text = text.slice(0, -1);
+				element.textContent = text + '...';
+			}
+
+			setTruncatedDescription(element.textContent);
+		};
+
+		truncateDescription();
+		window.addEventListener('resize', truncateDescription);
+
+		return () => {
+			window.removeEventListener('resize', truncateDescription);
+		};
+	}, [project.description]);
+
 	return (
 		<div className={`${styles.card} ${className}`} onClick={() => onClick(project)}>
 			<div className={styles.imageSlider}>
@@ -9,8 +46,14 @@ function ProjectCard({ project, onClick, className }) {
 			</div>
 			<div className={styles.content}>
 				<h3 className={styles.title}>{project.title}</h3>
-				<p className={styles.category}>{project.category}</p>
+				<div className={styles.categories}>
-				<p className={styles.description}>{project.description}</p>
+					{formatList(project.category)}
+				</div>
+				<p ref={descriptionRef} className={styles.description}>{truncatedDescription}</p>
+				<div className={styles.technologies}>
+					{formatList(project.technologies)}
+				</div>
+				{/* <p className={styles.date}>{project.date}</p> */}
 			</div>
 		</div>
 	);

src/components/projects/projectCard/ProjectCard.module.css

@@ -5,9 +5,10 @@
 	overflow: hidden;
 	transition: transform 0.3s ease;
 	cursor: pointer;
-	height: 450px; /* Fixed height for the card */
 	display: flex;
 	flex-direction: column;
+	height: auto;
+	min-height: 450px;
 }
 
 .card:hover {
@@ -32,7 +33,6 @@
 	display: flex;
 	flex-direction: column;
 	padding: 1rem;
-	overflow: hidden;
 }
 
 .title {
@@ -42,7 +42,7 @@
 	color: #333;
 }
 
-.category {
+.categories {
 	font-size: 0.8rem;
 	color: #666;
 	margin-bottom: 0.5rem;
@@ -51,10 +51,24 @@
 .description {
 	font-size: 0.9rem;
 	color: #666;
-	flex-grow: 1;
+	margin-bottom: 0.5rem;
 	overflow: hidden;
-	display: -webkit-box;
+	line-height: 1.4;
-	-webkit-line-clamp: 4; /* Adjust this number to show more or fewer lines */
+	max-height: calc(1.4em * 4); /* 4 lines of text */
-	-webkit-box-orient: vertical;
+}
-	text-overflow: ellipsis;
+
+.technologies {
+	font-size: 0.8rem;
+	color: #0066cc;
+	margin-bottom: 0.5rem;
+}
+
+.date {
+	font-size: 0.8rem;
+	color: #999;
+	margin-top: auto;
+}
+
+.separator {
+	margin: 0 2px;
 }

src/shared/components/resumeDownloader/ResumeDownloader.jsx

@@ -8,7 +8,7 @@ const ResumeDownloader = ({ resumeLink }) => {
 		const link = document.createElement("a");
 		link.href = resumeLink;
 		console.log(link.href);
-		link.download = "Murtadha.pdf";
+		link.download = "Murtadha_Nisyif_Resume.pdf";
 		link.target = "_blank";
 		link.rel = "noopener noreferrer";
 

src/utils/dataFetcher.js

@@ -0,0 +1,19 @@
+export const fetchEducationData = async () => {
+    const response = await fetch("/assets/data/educationData.json");
+    return await response.json();
+};
+  
+export const fetchExperienceData = async () => {
+    const response = await fetch("/assets/data/experienceData.json");
+    return await response.json();
+};
+  
+export const fetchProjectsData = async () => {
+    const response = await fetch("/assets/data/projectsData.json");
+    return await response.json();
+};
+  
+export const fetchPersonalData = async () => {
+    const response = await fetch("/assets/data/personalData.json");
+    return await response.json();
+};

version.txt

@@ -1 +1 @@
-0.12.1
+0.12.4