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index.html
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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>Keshav Portfolio Website</title>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/normalize/7.0.0/normalize.min.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.11.2/css/all.css" integrity="sha256-46qynGAkLSFpVbEBog43gvNhfrOj+BmwXdxFgVK/Kvc=" crossorigin="anonymous" />
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.6.3/jquery.min.js"></script>
<!-- Updated fonts -->
<link href="https://fonts.googleapis.com/css?family=Source+Code+Pro:400,900|Source+Sans+Pro:300,900&display=swap" rel="stylesheet">
<!--bootstrap-->
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.4.1/css/bootstrap.min.css">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.6.3/jquery.min.js"></script>
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.4.1/js/bootstrap.min.js"></script>
<!--styling-->
<style>
*,
*::before,
*::after {
box-sizing: border-box;
}
/* Custom Properties, update these for your own design */
:root {
--ff-primary: 'Source Sans Pro', sans-serif;
--ff-secondary: 'Source Code Pro', monospace;
--fw-reg: 300;
--fw-bold: 900;
--clr-light:#fff;
--clr-dark: #303030;
--clr-accent: #14d3b3;
--fs-h1: 3rem;
--fs-h2: 2.25rem;
--fs-h3: 1.25rem;
--fs-body: 1rem;
--bs: 0.25em 0.25em 0.75em rgba(0,0,0,.25),
0.125em 0.125em 0.25em rgba(0,0,0,.15); ;
}
@media (min-width: 800px) {
:root {
--fs-h1: 4.5rem;
--fs-h2: 3.75rem;
--fs-h3: 1.5rem;
--fs-body: 1.125rem;
}
}
/*General Styles */
html {
scroll-behavior: smooth;
}
body {
background: var(--clr-light);
color: var(--clr-dark);
margin: 0;
font-family: var(--ff-primary);
font-size: var(--fs-body);
line-height: 1.6;
background-color:aquamarine;
}
section {
padding: 5em 2em;
}
img {
display: block;
max-width: 100%;
background-color:aquamarine;
}
strong { font-weight: var(--fw-bold);}
:focus {
outline: 3px solid var(--clr-accent);
outline-offset: 3px;
}
/* Button */
.btn {
display: inline-block;
padding: .5em 2.5em;
background: var(--clr-accent);
color: var(--clr-dark);
text-decoration: none;
cursor: pointer;
font-size: .8em;
text-transform: uppercase;
letter-spacing: 2px;
font-weight: var(--fw-bold);
transition: transform 200ms ease-in-out;
}
.btn:hover {
transform: scale(1.1);
}
/* Typography */
h1,
h2,
h3 {
line-height: 1;
margin: 0;
}
h1 { font-size: var(--fs-h1) }
h2 { font-size: var(--fs-h2) }
h3 { font-size: var(--fs-h3) }
.section__title {
margin-bottom: .25em;
}
.section__title--intro {
font-weight: var(--fw-reg);
}
.section__title--intro strong {
display: block;
}
.section__subtitle {
margin: 0;
font-size: var(--fs-h3);
}
.section__subtitle--intro,
.section__subtitle--about {
background: var(--clr-accent);
padding: .25em 1em;
font-family: var(--ff-secondary);
margin-bottom: 1em;
}
/* header */
header {
display: flex;
justify-content: space-between;
padding: 1em;
}
.logo {
max-width: 100px;
}
.nav {
position: fixed;
background: var(--clr-dark);
color:aquamarine;
top: 0;
bottom: 0;
left: 0;
right: 0;
z-index: 100;
transform: translate(100%);
transition: transform 250ms cubic-bezier(.5, 0, .5, 1);
}
.nav__list {
list-style: none;
display: flex;
height: 100%;
flex-direction: column;
justify-content: space-evenly;
align-items: center;
margin: 0;
padding: 0;
}
.nav__link {
color: inherit;
font-weight: var(--fw-bold);
font-size: var(--fs-h2);
text-decoration: none;
}
.nav__link:hover {
color: var(--clr-accent);
}
.nav-toggle {
padding: .5em;
background: transparent;
border: 0;
cursor: pointer;
position: absolute;
right: 1em;
top: 1em;
z-index: 1000 ;
}
.nav-open .nav{
transform: translateX(0);
}
.nav-open .nav-toggle {
position: fixed;
}
.nav-open .hamburger {
transform: rotate(.625turns);
}
.nav-open .hamburger::before {
transform: rotate(90deg) translateX(-6px);
}
.nav-open .hamburger::after {
opacity: 0;
}
.hamburger {
display: block;
position: relative;
}
.hamburger,
.hamburger::before,
.hamburger::after {
background: var(--clr-accent);
width: 2em;
height: 3px;
border-radius: 1em;
transition: transform 250ms ease-in-out;;
}
.hamburger::before,
.hamburger::after {
content: '';
position: absolute;
left: 0;
right: 0;
}
.hamburger::before { top: 6px; }
.hamburger::after { bottom: 6px; }
/* Intro section */
.intro {
position: relative;
}
.intro__img {
box-shadow: var(--bs);
}
.section__subtitle--intro {
display: inline-block;
}
@media (min-width: 600px) {
.intro {
display: grid;
width: min-content;
margin: 0 auto;
grid-column-gap: 1em;
grid-template-areas:
"img title"
"img subtitle";
grid-template-columns: min-content max-content;
}
#theam{
display: grid;
grid-column-gap: 2em;
}
.intro__img {
grid-area: img;
min-width: 250px;
position: relative;
z-index: 2;
background-color:aquamarine;
display: block;
}
.section__subtitle--intro {
align-self: start;
grid-column: -1 / 1;
grid-row: 2;
text-align: right;
position: relative;
left: -1.5em;
width: calc(100% + 1.5em);
}
}
/* What I Know */
.my-services {
background-color: aquamarine;
background-size: cover;
color: #111;
border: 100px;
text-align: center;
}
.section__title--services {
position: relative;
}
.section__title--services::after {
content: '';
display: block;
width: 2em;
height: 1px;
margin: 0.5em auto 1em;
background:aquamarine;
opacity: 0.25;
box-shadow: 3px 3px #111;
}
.services {
margin-bottom: 4em;
}
.service {
max-width: 500px;
margin: 0 auto;
}
@media (min-width: 800px) {
.services {
display: flex;
max-width: 1000px;
margin-left: auto;
margin-right: auto;
}
.service + .service {
margin-left: 2em;
}
}
.about-me {
max-width: 1000px;
margin: 0 auto;
color: #111;
}
.about-me__img {
box-shadow:aqua;
}
@media (min-width: 600px) {
.about-me {
display: grid;
grid-template-columns: 1fr 200px;
grid-template-areas:
"title img"
"subtitle img"
"text img";
grid-column-gap: 2em;
}
.section__title--about {
grid-area: title;
}
.section__subtitle--about {
grid-column: 1 / -1;
grid-row: 2;
position: relative;
left: -1em;
width: calc(100% + 2em);
padding-left: 1em;
padding-right: calc(200px + 4em);
}
.about-me__img {
grid-area: img;
position: relative;
z-index: 2;
}
}
/* My Work */
.my-work {
background-color:aquamarine;
color:#111;
text-align: center;
}
.portfolio {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
}
.portfolio__item {
background:#14d3b3;
overflow: hidden;
}
.portfolio__img {
transition: transform 750ms cubic-bezier(.5, 0, .5, 1),
opacity 250ms linear;
height: 100%;
display: flex;
width: 100%;
justify-content: space-between;
}
.portfolio__item:focus {
position: relative;
z-index: 2;
}
.portfolio__img:hover,
.portfolio__item:focus .portfolio__img {
transform: scale(1.2);
opacity: .5;
}
/* footer */
.footer {
background: #111;
color: var(--clr-accent);
text-align: center;
padding: 2.5em 0;
font-size: var(--fs-h3);
}
.footer a {
color: inherit;
text-decoration: none;
}
.footer__link {
font-size: var(--fs-h3);
font-weight: var(--fw-bold);
}
.footer__link:hover,
.social-list__link:hover {
opacity: .7;
}
.footer__link:hover {
text-decoration: underline;
}
.social-list {
list-style: none;
display: flex;
justify-content: center;
margin: 2em 0 0;
padding: 0;
}
.social-list__items {
margin: 0 .5em;
}
.social-list__link {
padding: .5em;
}
.intro__img{
position: relative;
width: 500px;
height: 500px;
margin: 6% auto;
border-radius: 100 px;
}
/* .intro__img:after{
position: absolute;
top: 0;
bottom: 0;
} */
.intro__img:hover{
animation: ani1 2s;
border-radius: 70px;
background: #7fffd4;
box-shadow: 20px 20px 60px #7fffd4,
-20px -20px 60px #7fffd4;
/* background-image: linear-gradient(45deg,red,red); */
}
form{
background-color: #111;
display: grid;
}
form > input{
background-color: #111;
color: #14d3b3;
text-decoration: none;
border: 0;
margin: auto;
}
#theam{
display: flex;
justify-content: left;
margin-left: -20px;
background-color: #7fffd4;
border: 0;
}
</style>
</head>
<body class="container">
<header>
<button class="nav-toggle" aria-label="toggle navigation">
<span class="hamburger"></span>
</button>
<button type="submit" id="theam"> <span class='fas fa-toggle-on' style='font-size:35px;'></span></button>
<nav class="nav">
<ul class="nav__list">
<li class="nav__item"><a href="#home" class="nav__link">Home</a></li>
<li class="nav__item"><a href="#services" class="nav__link">My skills</a></li>
<li class="nav__item"><a href="#about" class="nav__link">About me</a></li>
<li class="nav__item"><a href="#work" class="nav__link">My Work</a></li>
</ul>
</nav>
</header>
<!-- Introduction -->
<section class="intro" id="home">
<h1 class="section__title section__title--intro">
<b>Hi, I am</b> <strong>Keshava Prasaath.K</strong>
</h1>
<p class="section__subtitle section__subtitle--intro">Data Science & AI Enthusiast</p>
<img src="https://media.licdn.com/dms/image/D5603AQFRGBXS2ejT5Q/profile-displayphoto-shrink_400_400/0/1677947502385?e=1683158400&v=beta&t=1PJDfctqQTLpCpfTo7h0IBSCSghVguaWgHizvW_bTjM" alt="picture of Keshav smiling" class= "intro__img" id="kesav">
</section>
<!-- My services -->
<section style="border: 3px;" class="my-services" id="services">
<h2 class="section__title section__title--services">My Skills</h2>
<div style="border: 3px;" class="services">
<div class="service">
<h3>Python</h3>
<p></p>
</div> <!-- / service -->
<div class="service">
<h3>Machine Learning</h3>
<p></p>
</div> <!-- / service -->
<div class="service">
<h3>Natural Language Processing</h3>
<p></p>
</div> <!-- / service -->
<div class="service">
<h3>Deep Learning</h3>
<p></p>
</div> <!-- / service -->
<div class="service">
<h3>Data Analytics and Forecasting</h3>
<p></p>
</div> <!-- / service -->
<div class="service">
<h3>MySQL</h3>
<p></p>
</div> <!-- / service -->
<div class="service">
<h3>Cloud Deployment</h3>
<p></p>
</div> <!-- / service -->
</div> <!-- / services -->
<a href="#work" class="btn">My Work</a>
</section>
<!-- About me -->
<section class="about-me" id="about">
<h2 class ="section__title section__title--about">Who am I?</h2>
<p class="section__subtitle section__subtitle--about">Data Science & AI Enthusiast based out of India</p>
<div class="about-me__body">
<p><b>Hello and welcome to my Portfolio!</p></b>
<p><b>I'm Keshav, a student currently pursuing my Bachelor's degree in Computer Applications. While I may be relatively new to the world of data science, I am excited about the potential of this field to transform industries and improve people's lives.
Although I am still learning, I have a strong foundation in programming languages such as Python, ML,Natural Language Processing and Deep Learning and I have completed several courses on data analysis and machine learning. I am eager to continue building my skills and knowledge in these areas, and I am excited about the prospect of contributing to meaningful data science projects.
</p></b>
<p><b>As a student, I am used to working hard and collaborating with others, and I am excited to connect with like-minded individuals in the data science community. I am always looking for opportunities to learn and grow, and I am eager to take on new challenges.
Thank you for visiting my profile, and please feel free to reach out to me if you have any questions or would like to collaborate on a project. I look forward to connecting with you!
</p></b>
</div>
<img src="https://media.licdn.com/dms/image/D5603AQFRGBXS2ejT5Q/profile-displayphoto-shrink_400_400/0/1677947502385?e=1683158400&v=beta&t=1PJDfctqQTLpCpfTo7h0IBSCSghVguaWgHizvW_bTjM" alt="" class= "about-me__img">
</section>
<!-- My Work-->
<section class="my-work" id="work">
<h2 class="section__title">My work</h2>
<p class="section__subtitle">A Selection Of my range of work</p>
<div class="portfolio">
<!-- Portfolio item 01 -->
<a href="https://github.com/Keshav25-2002/Stream-Video-Game-using-Recommendation-System" class="portfolio__item">
<img 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" alt="" class="portfolio__img">
</a>
<!-- Portfolio item 02 -->
<a href="https://github.com/Keshav25-2002/Cashflow-Prediction-using-LSTM" class="portfolio__item">
<img class="portfolio__img" src="https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRwqJs0osCpdXAv-ylVM8pluieZMynp6C_Jog&usqp=CAU">
</a>
<!-- Portfolio item 03 -->
<a href="https://github.com/Keshav25-2002/CARAVAN-INSURANCE-POLICY-" class="portfolio__item">
<img class="portfolio__img" 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">
</a>
<!-- Portfolio item 04 -->
<a href="https://github.com/Keshav25-2002/Abstractive-Text-Summarization-Transformer-Model---NLP" class="portfolio__item">
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" 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<!-- Portfolio item 05 -->
<a href="https://github.com/Keshav25-2002/Image-Classification-project-using-CNN" class="portfolio__item">
<img 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" alt="" class="portfolio__img">
</a>
<!-- Portfolio item 06 -->
<a href="https://github.com/Keshav25-2002/Web-Scraping-Projects-" class="portfolio__item">
<img src="https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRf4qxnHjKYn8Jx7Slw9TkiNPHp57eFcn8Pfw&usqp=CAU" alt="" class="portfolio__img">
</a>
<!-- Portfolio item 07 -->
<a href="https://github.com/Keshav25-2002/Twitter-Sentiment-Analysis-using-NLP" class="portfolio__item">
<img 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<!-- Portfolio item 08 -->
<a href="https://github.com/Keshav25-2002/Android_Maware_App_Classification" class="portfolio__item">
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<!-- Portfolio item 09 -->
<a href="https://github.com/Keshav25-2002/Sales-forecasting-using-Time-Series" class="portfolio__item">
<img class="portfolio__img" 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" 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