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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Projects & Experience - Pranit Chilbule</title>
<link href="https://fonts.googleapis.com/css2?family=Roboto+Mono:wght@400;500;700&family=Inter:wght@300;400;500;600&display=swap" rel="stylesheet">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.5.0/css/all.min.css">
<style>
* {
margin: 0;
padding: 0;
box-sizing: border-box;
}
:root {
--bg-primary: #0d1117;
--bg-secondary: #010409;
--bg-card: #21262d;
--text-primary: #c9d1d9;
--text-secondary: rgba(201, 209, 217, 0.8);
--accent-blue: #58a6ff;
--accent-green: #10a37f;
--accent-purple: #a5b4fc;
--accent-orange: #fbbf24;
--header-bg: rgba(0, 0, 0, 0.8);
--border-color: #30363d;
--gradient-1: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
--gradient-2: linear-gradient(135deg, #f093fb 0%, #f5576c 100%);
--gradient-3: linear-gradient(135deg, #4facfe 0%, #00f2fe 100%);
}
body {
background-color: var(--bg-primary);
color: var(--text-primary);
font-family: 'Inter', sans-serif;
line-height: 1.6;
overflow-x: hidden;
}
/* Animated Background */
.animated-bg {
position: fixed;
top: 0;
left: 0;
width: 100%;
height: 100%;
z-index: -1;
opacity: 0.1;
}
.floating-shape {
position: absolute;
border-radius: 50%;
animation: float 20s infinite ease-in-out;
}
.shape-1 {
width: 300px;
height: 300px;
background: var(--gradient-1);
top: 10%;
left: 10%;
animation-delay: 0s;
}
.shape-2 {
width: 200px;
height: 200px;
background: var(--gradient-2);
top: 60%;
right: 10%;
animation-delay: 7s;
}
.shape-3 {
width: 150px;
height: 150px;
background: var(--gradient-3);
bottom: 20%;
left: 20%;
animation-delay: 14s;
}
@keyframes float {
0%, 100% { transform: translate(0, 0) rotate(0deg); }
33% { transform: translate(50px, -50px) rotate(120deg); }
66% { transform: translate(-30px, 30px) rotate(240deg); }
}
/* Header Styles */
header {
position: fixed;
top: 0;
left: 0;
width: 100%;
padding: 1rem 2rem;
background: var(--header-bg);
backdrop-filter: blur(20px);
z-index: 1000;
transition: all 0.3s ease;
border-bottom: 1px solid rgba(255, 255, 255, 0.1);
}
nav {
display: flex;
justify-content: space-between;
align-items: center;
max-width: 1200px;
margin: 0 auto;
}
.logo {
font-family: 'Roboto Mono', monospace;
font-size: 1.5rem;
color: var(--text-primary);
text-decoration: none;
font-weight: 700;
transition: color 0.3s ease;
}
.logo:hover {
color: var(--accent-blue);
}
.nav-links {
display: flex;
gap: 2rem;
list-style: none;
}
.nav-links a {
color: var(--text-primary);
text-decoration: none;
font-weight: 500;
position: relative;
transition: color 0.3s ease;
padding: 0.5rem 0;
}
.nav-links a::after {
content: '';
position: absolute;
bottom: 0;
left: 0;
width: 0;
height: 2px;
background: var(--accent-blue);
transition: width 0.3s ease;
}
.nav-links a:hover::after,
.nav-links a.active::after {
width: 100%;
}
.nav-links a:hover,
.nav-links a.active {
color: var(--accent-blue);
}
/* Main Content Styles */
main {
padding: 2rem;
max-width: 1400px;
margin: 80px auto 0;
}
section {
margin-bottom: 6rem;
}
h1 {
font-size: 3.5rem;
margin-bottom: 1rem;
color: var(--accent-blue);
text-align: center;
font-weight: 700;
position: relative;
}
h1::after {
content: '';
position: absolute;
bottom: -10px;
left: 50%;
transform: translateX(-50%);
width: 150px;
height: 4px;
background: var(--gradient-1);
border-radius: 2px;
}
.portfolio-stats {
display: flex;
justify-content: center;
gap: 3rem;
margin: 3rem 0;
flex-wrap: wrap;
}
.stat-item {
text-align: center;
background: var(--bg-card);
padding: 2rem;
border-radius: 16px;
border: 1px solid var(--border-color);
min-width: 150px;
}
.stat-number {
font-size: 2.5rem;
font-weight: 700;
color: var(--accent-green);
display: block;
}
.stat-label {
color: var(--text-secondary);
font-size: 0.9rem;
margin-top: 0.5rem;
}
/* Project Categories */
.project-categories {
display: flex;
justify-content: center;
gap: 1rem;
margin-bottom: 3rem;
flex-wrap: wrap;
}
.category-btn {
background: var(--bg-card);
border: 2px solid var(--border-color);
color: var(--text-primary);
padding: 0.75rem 1.5rem;
border-radius: 25px;
cursor: pointer;
transition: all 0.3s ease;
font-weight: 500;
}
.category-btn:hover,
.category-btn.active {
background: var(--accent-blue);
border-color: var(--accent-blue);
transform: translateY(-2px);
box-shadow: 0 5px 15px rgba(88, 166, 255, 0.4);
}
/* Project Cards */
.projects-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(380px, 1fr));
gap: 2.5rem;
padding: 2rem 0;
}
.project-card {
background: var(--bg-card);
border-radius: 16px;
overflow: hidden;
box-shadow: 0 8px 30px rgba(0, 0, 0, 0.3);
transition: all 0.4s ease;
border: 1px solid var(--border-color);
position: relative;
display: flex;
flex-direction: column;
}
.project-card::before {
content: '';
position: absolute;
top: 0;
left: 0;
right: 0;
height: 4px;
background: var(--gradient-1);
opacity: 0;
transition: opacity 0.3s ease;
}
.project-card:hover::before {
opacity: 1;
}
.project-card:hover {
transform: translateY(-10px);
box-shadow: 0 20px 40px rgba(0, 0, 0, 0.4);
border-color: var(--accent-blue);
}
.project-header {
position: relative;
padding: 2rem;
background: linear-gradient(135deg, var(--bg-secondary) 0%, rgba(33, 38, 45, 0.8) 100%);
display: flex;
align-items: center;
gap: 1rem;
}
.project-logo {
width: 60px;
height: 60px;
border-radius: 12px;
display: flex;
align-items: center;
justify-content: center;
font-size: 1.8rem;
font-weight: bold;
color: white;
flex-shrink: 0;
}
.project-status {
position: absolute;
top: 1rem;
right: 1rem;
background: var(--accent-green);
color: white;
padding: 0.5rem 1rem;
border-radius: 15px;
font-size: 0.8rem;
font-weight: 600;
z-index: 1;
}
.project-status.in-progress {
background: var(--accent-orange);
}
.project-content {
padding: 1.5rem;
display: flex;
flex-direction: column;
flex-grow: 1;
}
.project-title {
font-size: 1.3rem;
color: var(--accent-blue);
margin-bottom: 0.75rem;
font-weight: 600;
}
.project-category {
background: var(--accent-purple);
color: white;
padding: 0.3rem 0.8rem;
border-radius: 12px;
font-size: 0.8rem;
font-weight: 500;
width: fit-content;
margin-bottom: 1rem;
}
.project-description {
color: var(--text-secondary);
margin-bottom: 1rem;
line-height: 1.6;
font-size: 0.9rem;
flex-grow: 1;
}
.tech-stack {
display: flex;
flex-wrap: wrap;
gap: 0.5rem;
margin-bottom: 1rem;
}
.tech-tag {
background: var(--bg-secondary);
color: var(--accent-green);
padding: 0.3rem 0.8rem;
border-radius: 15px;
font-size: 0.8rem;
font-weight: 500;
border: 1px solid rgba(16, 163, 127, 0.3);
transition: all 0.3s ease;
}
.tech-tag:hover {
background: var(--accent-green);
color: white;
transform: translateY(-2px);
}
.project-links {
display: flex;
gap: 0.75rem;
margin-top: auto;
}
.project-links a {
color: var(--accent-blue);
text-decoration: none;
display: flex;
align-items: center;
gap: 0.4rem;
padding: 0.6rem 1.2rem;
border: 2px solid var(--accent-blue);
border-radius: 8px;
transition: all 0.3s ease;
font-weight: 500;
font-size: 0.9rem;
flex: 1;
justify-content: center;
}
.project-links a:hover {
background: var(--accent-blue);
color: white;
transform: translateY(-2px);
}
/* Hide projects by default */
.project-card.hidden {
display: none;
}
/* Responsive Design */
@media (max-width: 768px) {
.projects-grid {
grid-template-columns: 1fr;
}
.portfolio-stats {
gap: 1.5rem;
}
.project-categories {
justify-content: flex-start;
overflow-x: auto;
padding-bottom: 1rem;
flex-wrap: nowrap;
}
.category-btn {
white-space: nowrap;
}
h1 {
font-size: 2.5rem;
}
.nav-links {
display: none;
}
}
@media (max-width: 480px) {
main {
padding: 1rem;
margin-top: 70px;
}
.projects-grid {
grid-template-columns: 1fr;
gap: 1.5rem;
}
.project-header {
padding: 1.5rem;
}
.project-logo {
width: 50px;
height: 50px;
font-size: 1.5rem;
}
h1 {
font-size: 2rem;
}
}
</style>
</head>
<body>
<!-- Animated Background -->
<div class="animated-bg">
<div class="floating-shape shape-1"></div>
<div class="floating-shape shape-2"></div>
<div class="floating-shape shape-3"></div>
</div>
<header>
<nav>
<a href="#" class="logo">Pranit Chilbule</a>
<ul class="nav-links" id="navLinks">
<li><a href="index.html"><i class="fas fa-house"></i> Home</a></li>
<li><a href="about.html"><i class="fas fa-user"></i> About</a></li>
<li><a href="projects.html"><i class="fas fa-code"></i> Projects</a></li>
<li><a href="achievements.html"><i class="fas fa-trophy"></i> Achievements</a></li>
<li><a href="contact.html"><i class="fas fa-envelope"></i> Contact</a></li>
</ul>
</nav>
</header>
<main>
<section id="projects">
<h1>Complete Projects Portfolio</h1>
<div class="portfolio-stats">
<div class="stat-item">
<span class="stat-number">44</span>
<span class="stat-label">Total Projects</span>
</div>
<div class="stat-item">
<span class="stat-number">21</span>
<span class="stat-label">AI/ML Projects</span>
</div>
<div class="stat-item">
<span class="stat-number">13</span>
<span class="stat-label">Web Development</span>
</div>
<div class="stat-item">
<span class="stat-number">10</span>
<span class="stat-label">Other Technologies</span>
</div>
</div>
<div class="project-categories">
<button class="category-btn active" onclick="filterProjects('all')">All Projects</button>
<button class="category-btn" onclick="filterProjects('ai-ml')">AI/ML</button>
<button class="category-btn" onclick="filterProjects('web')">Web Development</button>
<button class="category-btn" onclick="filterProjects('iot')">IoT</button>
<button class="category-btn" onclick="filterProjects('blockchain')">Blockchain</button>
<button class="category-btn" onclick="filterProjects('mobile')">Mobile</button>
<button class="category-btn" onclick="filterProjects('security')">Security</button>
</div>
<div class="projects-grid" id="projectsGrid">
<!-- Projects will be populated by JavaScript -->
</div>
</section>
</main>
<script>
// Complete portfolio projects data and functionality
const projects = [
{
id: 1,
name: "Garbage Segregation and Monitoring System",
category: "iot",
description: "Automated real-time garbage classification into 6 waste types using ML model deployed on Edge IoT device with OpenCV and TensorFlow Lite.",
techs: ["OpenCV", "IoT", "Python", "TensorFlow Lite", "Raspberry Pi"],
logo: "🗑️",
logoColor: "#10a37f",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 2,
name: "Employee Salary Classification System",
category: "ai-ml",
description: "Predict salary group based on employee parameters using Decision Tree classifier with comprehensive data analysis and visualization.",
techs: ["Python", "Pandas", "Scikit-learn", "Decision Trees", "Flask"],
logo: "💼",
logoColor: "#58a6ff",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 3,
name: "College Chat System",
category: "web",
description: "Real-time WhatsApp-like communication system for college students with authentication, messaging, and group chat features.",
techs: ["HTML", "CSS", "JavaScript", "MySQL", "PHP", "WebSockets"],
logo: "💬",
logoColor: "#f093fb",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 4,
name: "Internship & Placement Finder",
category: "web",
description: "Intelligent recommendation system for internships and placements based on student interests, skills, and resume profiles.",
techs: ["Python", "SQLite", "Flask", "Machine Learning", "OOP"],
logo: "🎯",
logoColor: "#fbbf24",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 5,
name: "Facial Emotion Recognition using CNN",
category: "ai-ml",
description: "Real-time emotion detection via webcam using custom CNN architecture trained on FER-2013 dataset for accurate emotion classification.",
techs: ["Python", "CNN", "OpenCV", "Keras", "TensorFlow"],
logo: "😊",
logoColor: "#a5b4fc",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 6,
name: "Custom Chatbot with PDF & Dataset Integration",
category: "ai-ml",
description: "Multi-functional chatbot for document and dataset querying with embeddings, supporting PDF analysis and data exploration.",
techs: ["LangChain", "OpenAI API", "PyPDF2", "Streamlit", "ChromaDB"],
logo: "🤖",
logoColor: "#10a37f",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 7,
name: "Plant Disease Detection & Agro-Pesticide Recommendation",
category: "ai-ml",
description: "Assist farmers in diagnosing plant diseases using computer vision and recommend appropriate treatments and pesticides.",
techs: ["OpenCV", "CNN", "Keras", "Flask", "SQLite", "IoT"],
logo: "🌱",
logoColor: "#10a37f",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 8,
name: "Intrusion Detection and Alert System",
category: "iot",
description: "Secure area monitoring with motion detection, real-time alerts via email/Telegram, and comprehensive dashboard for security management.",
techs: ["Python", "OpenCV", "PIR Sensors", "Flask", "Email API"],
logo: "🔒",
logoColor: "#f5576c",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 9,
name: "Emotion & Classification Bot",
category: "ai-ml",
description: "Multimodal system for text, voice, and facial emotion recognition with sentiment analysis and review classification capabilities.",
techs: ["CNN", "RNN", "SpaCy", "OpenCV", "NLTK", "Flask"],
logo: "🎭",
logoColor: "#a5b4fc",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 10,
name: "NLP Blog Generator Website",
category: "ai-ml",
description: "Automatically generates high-quality blogs based on topic prompts using advanced NLP techniques and GPT integration.",
techs: ["GPT APIs", "Hugging Face", "Flask", "MongoDB", "NLP"],
logo: "📝",
logoColor: "#58a6ff",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 11,
name: "Blockchain-Based Safe Vault",
category: "blockchain",
description: "Secure password vault using blockchain technology with weak password analytics and AES encryption for maximum security.",
techs: ["Solidity", "Ganache", "Web3.py", "Flask", "AES Encryption"],
logo: "⛓️",
logoColor: "#fbbf24",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 12,
name: "Financial Trend Agent with LSTM & LLM",
category: "ai-ml",
description: "Smart investment assistant with stock price prediction using LSTM and LLM insights for comprehensive financial analysis.",
techs: ["LSTM", "Keras", "NewsAPI", "LangChain", "Streamlit", "AWS"],
logo: "📈",
logoColor: "#10a37f",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 13,
name: "College Placement & Analysis Platform",
category: "web",
description: "Comprehensive platform with three dashboards for students, colleges, and companies to analyze placement trends and statistics.",
techs: ["Flask", "Django", "PostgreSQL", "Plotly", "Chart.js"],
logo: "🎓",
logoColor: "#58a6ff",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 14,
name: "Krishi Mitra – AI-Powered Farmer Support",
category: "ai-ml",
description: "Complete agricultural solution with plant disease detection, weather forecasting, fertilizer recommendations, and market trends.",
techs: ["OpenCV", "TensorFlow", "Weather APIs", "Flask", "MongoDB"],
logo: "🚜",
logoColor: "#10a37f",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 15,
name: "LearnMate-AI",
category: "ai-ml",
description: "AI-powered learning assistant designed to enhance educational experiences with personalized tutoring and progress tracking.",
techs: ["Python", "NLP", "Machine Learning", "Flask", "AI"],
logo: "🧠",
logoColor: "#a5b4fc",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 16,
name: "AgroConnect Market Storage Finder",
category: "web",
description: "Web platform connecting farmers with market and storage facilities, facilitating better agricultural supply chain management.",
techs: ["HTML", "CSS", "JavaScript", "Firebase", "Maps API"],
logo: "🌾",
logoColor: "#10a37f",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 17,
name: "Analyze the Geomaps",
category: "ai-ml",
description: "Python-based tool for analyzing geospatial data and creating interactive visualizations for geographic information systems.",
techs: ["Python", "GeoPandas", "Matplotlib", "Folium", "GIS"],
logo: "🗺️",
logoColor: "#4facfe",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 18,
name: "Attendance Monitoring Live",
category: "ai-ml",
description: "Live attendance monitoring system using facial recognition and computer vision for automated attendance tracking.",
techs: ["Python", "OpenCV", "Face Recognition", "Flask", "CV"],
logo: "👥",
logoColor: "#58a6ff",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 19,
name: "CarePlanAI",
category: "web",
description: "AI-driven platform for creating personalized healthcare plans with intelligent recommendations and health monitoring.",
techs: ["HTML", "CSS", "JavaScript", "AI Integration", "Healthcare"],
logo: "🏥",
logoColor: "#f093fb",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 20,
name: "Chat with DataFrame",
category: "ai-ml",
description: "Interactive chatbot that allows users to converse with and query Pandas DataFrames using natural language processing.",
techs: ["Python", "Pandas", "NLP", "Streamlit", "Data Analysis"],
logo: "📊",
logoColor: "#10a37f",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 21,
name: "ClassiGrid",
category: "ai-ml",
description: "Python tool for data classification and grid-based analysis with advanced machine learning algorithms and visualization.",
techs: ["Python", "Scikit-learn", "Pandas", "Data Visualization", "ML"],
logo: "🔢",
logoColor: "#a5b4fc",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 22,
name: "CraneSmart",
category: "iot",
description: "Smart IoT system for crane operations monitoring and safety with real-time data collection and web-based dashboard.",
techs: ["HTML", "CSS", "JavaScript", "IoT", "Sensors", "Safety"],
logo: "🏗️",
logoColor: "#fbbf24",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 23,
name: "Emotion Detection Web App",
category: "web",
description: "Web-based application for detecting emotions from text or images using AI with real-time processing capabilities.",
techs: ["HTML", "JavaScript", "Python", "TensorFlow.js", "AI"],
logo: "🎭",
logoColor: "#f093fb",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 24,
name: "Financial Stock Insight Web App",
category: "web",
description: "Comprehensive web application providing insights and analytics for financial stock data with interactive charts and predictions.",
techs: ["HTML", "CSS", "JavaScript", "Chart.js", "Finance"],
logo: "💹",
logoColor: "#10a37f",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 25,
name: "Find Your Own Raga",
category: "ai-ml",
description: "Python project for Indian classical music (Raga) generation and analysis using machine learning and audio processing.",
techs: ["Python", "Librosa", "Machine Learning", "Audio Processing", "Music"],
logo: "🎵",
logoColor: "#a5b4fc",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 26,
name: "GenSong",
category: "ai-ml",
description: "AI project for generating original song melodies and lyrics using deep learning techniques and music theory.",
techs: ["Python", "Magenta", "LSTM", "Music Generation", "AI"],
logo: "🎶",
logoColor: "#f093fb",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 27,
name: "GlucoLens",
category: "web",
description: "Progressive web application for glucose monitoring and diabetes management with tracking and analytics features.",
techs: ["HTML", "CSS", "JavaScript", "PWA", "Healthcare"],
logo: "🩺",
logoColor: "#58a6ff",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 28,
name: "Harvest Analysis",
category: "ai-ml",
description: "Python-based tool for analyzing agricultural harvest data and providing insights for crop yield optimization.",
techs: ["Python", "Pandas", "Scikit-learn", "Data Analysis", "Agriculture"],
logo: "🌽",
logoColor: "#10a37f",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 29,
name: "HospitAI Intelligent Resource Management",
category: "ai-ml",
description: "Intelligent system for hospital resource and patient management with AI-powered optimization and scheduling.",
techs: ["C", "AI/ML Algorithms", "Data Structures", "Healthcare", "Optimization"],
logo: "🏥",
logoColor: "#f5576c",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 30,
name: "InterviewInsight",
category: "ai-ml",
description: "AI-powered platform to provide insights and feedback on interview performance using speech analysis and NLP.",
techs: ["Python", "NLP", "Speech-to-Text", "Flask", "AI"],
logo: "🎤",
logoColor: "#58a6ff",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 31,
name: "Invoice Matching NLP System",
category: "ai-ml",
description: "Invoice matching system using NLP, fuzzy logic, and regular expressions for automated document processing.",
techs: ["Python", "Jupyter", "Pandas", "NLTK", "Fuzzy Logic"],
logo: "📄",
logoColor: "#10a37f",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 32,
name: "Laptop Recommendation System",
category: "web",
description: "Web-based recommendation system to help users choose laptops based on their requirements and preferences.",
techs: ["HTML", "CSS", "JavaScript", "Content Filtering", "ML"],
logo: "💻",
logoColor: "#a5b4fc",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 33,
name: "MaintAI Predictive Maintenance Dashboard",
category: "ai-ml",
description: "Web dashboard for predictive maintenance using AI, displaying insights from sensor data with real-time monitoring.",
techs: ["HTML", "JavaScript", "Chart.js", "Python Backend", "AI"],
logo: "⚙️",
logoColor: "#fbbf24",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 34,
name: "MoodTunes Song Predictor",
category: "ai-ml",
description: "Song recommendation system that predicts songs based on user's emotion using sentiment analysis and music APIs.",
techs: ["Python", "Jupyter", "NLP", "Spotify API", "ML"],
logo: "🎧",
logoColor: "#f093fb",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 35,
name: "Movie Review Sentiment Analysis",
category: "ai-ml",
description: "Sentiment analysis of movie reviews using Python and the spaCy NLP library for text processing and classification.",
techs: ["Python", "spaCy", "NLP", "Sentiment Analysis", "ML"],
logo: "🎬",
logoColor: "#58a6ff",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 36,
name: "My Voice Assistant (Alexa Clone)",
category: "ai-ml",
description: "Custom voice assistant similar to Alexa, built using Python with speech recognition and text-to-speech capabilities.",
techs: ["Python", "SpeechRecognition", "pyttsx3", "AI", "Voice"],
logo: "🗣️",
logoColor: "#10a37f",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 37,
name: "PassGuard",
category: "security",
description: "Secure password management tool with web interface featuring encryption and secure storage capabilities.",
techs: ["HTML", "CSS", "JavaScript", "Cryptography", "Security"],
logo: "🔐",
logoColor: "#f5576c",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 38,
name: "Customer Sentiment Classification with BERT",
category: "ai-ml",
description: "Customer sentiment classification application using BERT transformer model for advanced text understanding.",
techs: ["Python", "BERT", "Hugging Face", "Flask API", "NLP"],
logo: "🤖",
logoColor: "#a5b4fc",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 39,
name: "Smart Movie Recommender",
category: "ai-ml",
description: "Intelligent movie recommendation system using collaborative or content-based filtering with machine learning algorithms.",
techs: ["Python", "Pandas", "Scikit-learn", "Flask", "ML"],
logo: "🍿",
logoColor: "#fbbf24",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 40,
name: "Song Playlist Recommendation",
category: "ai-ml",
description: "System for recommending songs and generating playlists based on user preferences using clustering algorithms.",
techs: ["Python", "Machine Learning", "Clustering", "Music API", "ML"],
logo: "📱",
logoColor: "#f093fb",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 41,
name: "EduGenie",
category: "mobile",
description: "Educational mobile application built with Kotlin providing interactive learning experiences and progress tracking.",
techs: ["Kotlin", "Android", "Spring Boot", "Firebase", "Mobile"],
logo: "📚",
logoColor: "#58a6ff",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 42,
name: "Forge Development Toolkit",
category: "web",
description: "Versatile development toolkit and platform for web and software creation with automation capabilities.",
techs: ["DevOps", "Automation", "API", "Web Development", "Tools"],
logo: "🔧",
logoColor: "#10a37f",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 43,
name: "Institute Activity Analyser",
category: "web",
description: "Web-based tool for analyzing activities within educational institutes with comprehensive data visualization.",
techs: ["HTML", "CSS", "JavaScript", "Data Visualization", "Analytics"],
logo: "🏫",
logoColor: "#a5b4fc",
status: "Completed",
github: "#",
demo: "#"
},
{
id: 44,
name: "MathCoder144",
category: "web",
description: "Platform combining mathematics and coding challenges with algorithmic problem-solving and educational content.",
techs: ["Algorithms", "Data Structures", "Web Interface", "Education"],
logo: "🧮",
logoColor: "#fbbf24",
status: "Completed",
github: "#",
demo: "#"
}
];
// Function to create project card HTML
function createProjectCard(project) {
return `
<div class="project-card" data-category="${project.category}">
<div class="project-header">
<div class="project-logo" style="background: ${project.logoColor}">${project.logo}</div>
<div class="project-status ${project.status === 'In Progress' ? 'in-progress' : ''}">${project.status}</div>
</div>
<div class="project-content">
<h3 class="project-title">${project.name}</h3>
<div class="project-category">${project.category.replace('-', '/').toUpperCase()}</div>
<p class="project-description">${project.description}</p>
<div class="tech-stack">
${project.techs.map(tech => `<span class="tech-tag">${tech}</span>`).join('')}
</div>
<div class="project-links">
<a href="${project.github}" target="_blank">
<span>📂</span> Code
</a>
<a href="${project.demo}" target="_blank">
<span>🚀</span> Demo
</a>
</div>
</div>
</div>
`;
}
// Function to render all projects
function renderProjects() {
const projectsGrid = document.getElementById('projectsGrid');
if (!projectsGrid) return;
projectsGrid.innerHTML = projects.map(project => createProjectCard(project)).join('');
}
// Function to filter projects by category
function filterProjects(category) {
const projectCards = document.querySelectorAll('.project-card');
const categoryButtons = document.querySelectorAll('.category-btn');
// Update active button
categoryButtons.forEach(btn => btn.classList.remove('active'));
event.target.classList.add('active');
// Filter projects
projectCards.forEach(card => {
if (category === 'all' || card.dataset.category === category) {
card.classList.remove('hidden');
card.style.display = 'flex';
} else {
card.classList.add('hidden');
card.style.display = 'none';
}
});
// Add animation effect
projectCards.forEach((card, index) => {
if (!card.classList.contains('hidden')) {
card.style.animationDelay = `${index * 0.1}s`;
card.style.animation = 'none';
card.offsetHeight; // Trigger reflow
card.style.animation = 'fadeInUp 0.6s ease forwards';
}
});
}
// Function to update portfolio statistics
function updatePortfolioStats() {
const totalProjects = projects.length;
const aiMlProjects = projects.filter(p => p.category === 'ai-ml').length;
const webProjects = projects.filter(p => p.category === 'web').length;
const otherProjects = totalProjects - aiMlProjects - webProjects;
// Update stat numbers
const statNumbers = document.querySelectorAll('.stat-number');
if (statNumbers.length >= 4) {
statNumbers[0].textContent = totalProjects;
statNumbers[1].textContent = aiMlProjects;
statNumbers[2].textContent = webProjects;
statNumbers[3].textContent = otherProjects;
}
}
function addSmoothScrolling() {
const navLinks = document.querySelectorAll('.nav-links a');
navLinks.forEach(link => {
link.addEventListener('click', function(e) {
const href = this.getAttribute('href');
if (href.startsWith('#')) {
e.preventDefault();
const targetEl = document.querySelector(href);
if (targetEl) {
targetEl.scrollIntoView({ behavior: 'smooth', block: 'start' });
}
}
// else: do nothing, so the link follows through normally
});
});
}
// Function to add header scroll effect
function addHeaderScrollEffect() {
const header = document.querySelector('header');
let lastScrollY = window.scrollY;
window.addEventListener('scroll', () => {
const currentScrollY = window.scrollY;
if (currentScrollY > 100) {
header.style.background = 'rgba(0, 0, 0, 0.95)';
header.style.backdropFilter = 'blur(30px)';
} else {
header.style.background = 'rgba(0, 0, 0, 0.8)';
header.style.backdropFilter = 'blur(20px)';
}
// Hide header on scroll down, show on scroll up
if (currentScrollY > lastScrollY && currentScrollY > 200) {
header.style.transform = 'translateY(-100%)';
} else {
header.style.transform = 'translateY(0)';
}
lastScrollY = currentScrollY;
});
}
// Function to add search functionality
function addSearchFunctionality() {
const searchInput = document.getElementById('searchInput');
if (searchInput) {
searchInput.addEventListener('input', function() {
const searchTerm = this.value.toLowerCase();
const projectCards = document.querySelectorAll('.project-card');
projectCards.forEach(card => {
const projectName = card.querySelector('.project-title').textContent.toLowerCase();
const projectDescription = card.querySelector('.project-description').textContent.toLowerCase();
const techTags = Array.from(card.querySelectorAll('.tech-tag')).map(tag => tag.textContent.toLowerCase());
const matches = projectName.includes(searchTerm) ||
projectDescription.includes(searchTerm) ||
techTags.some(tech => tech.includes(searchTerm));
if (matches) {
card.style.display = 'flex';
card.classList.remove('hidden');
} else {
card.style.display = 'none';
card.classList.add('hidden');
}
});
});
}
}
// Function to add loading animation
function addLoadingAnimation() {
const projectsGrid = document.getElementById('projectsGrid');
if (projectsGrid) {
projectsGrid.style.opacity = '0';
setTimeout(() => {
projectsGrid.style.transition = 'opacity 0.5s ease';
projectsGrid.style.opacity = '1';
}, 100);
}
}
// Function to handle responsive navigation
function handleResponsiveNav() {
const navToggle = document.querySelector('.nav-toggle');
const navLinks = document.querySelector('.nav-links');
if (navToggle && navLinks) {
navToggle.addEventListener('click', () => {
navLinks.classList.toggle('active');
});
}
}
// CSS for animations (to be added to your CSS file)
const animationStyles = `
@keyframes fadeInUp {
from {
opacity: 0;
transform: translateY(30px);
}
to {
opacity: 1;
transform: translateY(0);
}
}
.project-card {
animation: fadeInUp 0.6s ease forwards;
}
/* Responsive navigation styles */
@media (max-width: 768px) {
.nav-links {
position: fixed;
top: 70px;
left: -100%;
width: 100%;
height: calc(100vh - 70px);
background: var(--bg-secondary);
flex-direction: column;
justify-content: flex-start;
align-items: center;
padding-top: 2rem;
transition: left 0.3s ease;
}
.nav-links.active {
left: 0;
}
.nav-toggle {
display: block;
background: none;
border: none;
color: var(--text-primary);
font-size: 1.5rem;
cursor: pointer;
}
}
`;
// Initialize everything when DOM is loaded
document.addEventListener('DOMContentLoaded', function() {
// Render projects
renderProjects();
// Update portfolio statistics
updatePortfolioStats();
// Add smooth scrolling
addSmoothScrolling();
// Add header scroll effect
addHeaderScrollEffect();
// Add search functionality
addSearchFunctionality();
// Add loading animation
addLoadingAnimation();
// Handle responsive navigation
handleResponsiveNav();
// Add animation styles to the page
const styleSheet = document.createElement('style');
styleSheet.textContent = animationStyles;
document.head.appendChild(styleSheet);
console.log('Portfolio initialized with', projects.length, 'projects');
});
// Export functions for external use
window.portfolioFunctions = {
filterProjects,
renderProjects,
updatePortfolioStats,
projects
};
</script>
</body></html> |