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<!DOCTYPE html>
<html lang="en">
<head>
<script type="text/javascript">
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<script>
tailwind.config = {
theme: {
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clifford: '#da373d',
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<link rel="stylesheet" href="check.css">
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<title>NextGenAI</title>
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<div id="root">
<div>
<header class="Navbar_header__02aA1">
<div class="layout Navbar_headerContainer__UT5rQ">
<a aria-label="logo" href="/">
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<a href="#registerhere"
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<div id="newstuff">
<div id="mynew">
<p>
Cintel's NextGenAI
<span>
Event Completed!
</span>
— Arcade Intelligence —
</p></div></div>
<!-- <h1 class="heading highlight">Start your AI journey with Arcade Intelligence</h1>
<h3><i>NextGen-Ai</i></h3><iframe
src="https://www.youtube.com/embed/8oIQy6fxfCA?si=A0TsE14aU1QNFv6U"
title="YouTube video player"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
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class="mt-8 block aspect-video h-full w-full max-w-[50rem] rounded-xl border-2 object-cover shadow-[0_1rem_3rem] shadow-primary/80"></iframe>
<div class="h2 mt-10 font-normal"><span class="font-bold">2nd & 3rd years: </span>September 13, 2023</div>
<div class="h2 font-normal"><span class="font-bold">1st years: </span>September 15, 2023</div>
<div class="h2 text-center font-bold">Certificates, OD and Refreshments will be provided</div> -->
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<a href="#about"
class="group flex-row gap-1 relative inline-flex w-max items-center rounded-full py-3 px-7 font-medium transition-all duration-75 focus-visible:before:absolute focus-visible:before:-top-1 focus-visible:before:-left-1 focus-visible:before:-right-1 focus-visible:before:-bottom-1 focus-visible:before:rounded-full focus-visible:before:border focus-visible:before:border-primary disabled:cursor-not-allowed bg-primary text-content/90 ring-1 ring-primary-hover before:border-primary/30 hover:bg-primary-hover hover:text-content hover:ring-primary active:bg-primary disabled:bg-primary-disable disabled:hover:bg-primary-disable mb-[900px]"><span>About
Event</span><svg viewBox="0 0 16 16" height="1em" width="1em" fill="none"
xmlns="http://www.w3.org/2000/svg"
class="relative transition-transform duration-200 motion-reduce:-translate-x-1 group-hover:translate-x-0">
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</svg> </a>
</div>
</div>
</section>
<section id="about">
<div class="layout flex flex-col justify-between gap-5 py-20 lg:flex-row lg:gap-12"><img
class="inline-block grow border-none object-cover " src="new.png" alt="About">
<div class="flex w-full shrink-0 flex-col gap-6 lg:w-1/2">
<h2 class="h1">About</h2>
<hr class="styled-hr mx-auto my-4">
<ul class="h4 flex flex-col gap-6 font-medium text-content first:mt-0">
<li class="tracking-wider" style="display: flex; gap: 0.4rem;"><svg
stroke="currentColor" fill="currentColor" stroke-width="0"
viewBox="0 0 1024 1024" class="h2 text-primary" height="1em" width="1em"
xmlns="http://www.w3.org/2000/svg" style="flex-shrink: 0;">
<path
d="M908.1 353.1l-253.9-36.9L540.7 86.1c-3.1-6.3-8.2-11.4-14.5-14.5-15.8-7.8-35-1.3-42.9 14.5L369.8 316.2l-253.9 36.9c-7 1-13.4 4.3-18.3 9.3a32.05 32.05 0 0 0 .6 45.3l183.7 179.1-43.4 252.9a31.95 31.95 0 0 0 46.4 33.7L512 754l227.1 119.4c6.2 3.3 13.4 4.4 20.3 3.2 17.4-3 29.1-19.5 26.1-36.9l-43.4-252.9 183.7-179.1c5-4.9 8.3-11.3 9.3-18.3 2.7-17.5-9.5-33.7-27-36.3z">
</path>
</svg><span>NextGen-Ai is excited to host a AI/ML event, where you can start your AI
journey by mastering Python basics,covering everything from variables to
functions. This solid foundation will prepare you for AI and Machine
learnin.</span>
</li>
<li class="tracking-wider" style="display: flex; gap: 0.4rem;"><svg
stroke="currentColor" fill="currentColor" stroke-width="0"
viewBox="0 0 1024 1024" class="h2 text-primary" height="1em" width="1em"
xmlns="http://www.w3.org/2000/svg" style="flex-shrink: 0;">
<path
d="M908.1 353.1l-253.9-36.9L540.7 86.1c-3.1-6.3-8.2-11.4-14.5-14.5-15.8-7.8-35-1.3-42.9 14.5L369.8 316.2l-253.9 36.9c-7 1-13.4 4.3-18.3 9.3a32.05 32.05 0 0 0 .6 45.3l183.7 179.1-43.4 252.9a31.95 31.95 0 0 0 46.4 33.7L512 754l227.1 119.4c6.2 3.3 13.4 4.4 20.3 3.2 17.4-3 29.1-19.5 26.1-36.9l-43.4-252.9 183.7-179.1c5-4.9 8.3-11.3 9.3-18.3 2.7-17.5-9.5-33.7-27-36.3z">
</path>
</svg><span>The bootcamp progressess into regression techniques, classification
problems, and deep learning with CNNs and YOLO v5. You'll learn model
evaluation, algorithm implementation, and object detection skills for real-world
AI application.</span></li>
<li class="tracking-wider" style="display: flex; gap: 0.4rem;"><svg
stroke="currentColor" fill="currentColor" stroke-width="0"
viewBox="0 0 1024 1024" class="h2 text-primary" height="1em" width="1em"
xmlns="http://www.w3.org/2000/svg" style="flex-shrink: 0;">
<path
d="M908.1 353.1l-253.9-36.9L540.7 86.1c-3.1-6.3-8.2-11.4-14.5-14.5-15.8-7.8-35-1.3-42.9 14.5L369.8 316.2l-253.9 36.9c-7 1-13.4 4.3-18.3 9.3a32.05 32.05 0 0 0 .6 45.3l183.7 179.1-43.4 252.9a31.95 31.95 0 0 0 46.4 33.7L512 754l227.1 119.4c6.2 3.3 13.4 4.4 20.3 3.2 17.4-3 29.1-19.5 26.1-36.9l-43.4-252.9 183.7-179.1c5-4.9 8.3-11.3 9.3-18.3 2.7-17.5-9.5-33.7-27-36.3z">
</path>
</svg><span>For further queries: 7208416190, 9940705356</span></li>
</ul>
<div class="inline-flex flex-wrap gap-2"></div>
</div>
</div>
</section>
<section id="tracks">
<div class="layout py-20 text-center">
<h2 class="h1 mb-4">Events tracks</h2>
<p class="h4 mt-2 font-normal">The Real Excitement begins...</p>
<hr class="styled-hr mx-auto my-6">
<div class="grid grid-cols-1 gap-6 sm:grid-cols-2 lg:grid-cols-3">
<div class="rounded-xl bg-base-200 p-6 text-left"><svg stroke="currentColor"
fill="currentColor" stroke-width="0" viewBox="0 0 512 512" class="h2" height="1em"
width="1em" xmlns="http://www.w3.org/2000/svg"
style="fill: url("#blue-gradient");">
<path
d="M169.53 16.344L259.345 88 337 92.28l-1.03 18.657-161.376-8.906-118.78-4.905 227.28 68.03-197.72 246.75-14.53-17.655-49.22 96.625 248.69-202.78 51.81 11.592-38.78 40.594L270.5 329.5l-57.28 84.125L444.843 273.47 328 241.06l100.22-81.718c1.132.46 2.3.898 3.5 1.22 23.324 6.248 49.764-16.835 59.06-51.533 9.298-34.695-2.08-67.874-25.405-74.124-23.325-6.25-49.765 16.802-59.063 51.5-1.467 5.476-2.403 10.918-2.875 16.22L169.53 16.343z">
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</svg>
<h3 class="mt-5 font-normal">Python foundation</h3>
<p class="mt-4 whitespace-pre-line">Master python basics and dive into the world of AI
</p>
</div>
<div class="rounded-xl bg-base-200 p-6 text-left"><svg stroke="currentColor"
fill="currentColor" stroke-width="0" viewBox="0 0 512 512" class="h2" height="1em"
width="1em" xmlns="http://www.w3.org/2000/svg"
style="fill: url("#blue-gradient");">
<path
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</svg>
<h3 class="mt-5 font-normal">Regression & classification</h3>
<p class="mt-4 whitespace-pre-line">Learn predictive modeling, data splitting, and
ethical AI practices.</p>
</div>
<div class="rounded-xl bg-base-200 p-6 text-left"><svg stroke="currentColor"
fill="currentColor" stroke-width="0" viewBox="0 0 512 512" class="h2" height="1em"
width="1em" xmlns="http://www.w3.org/2000/svg"
style="fill: url("#blue-gradient");">
<path
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</svg>
<h3 class="mt-5 font-normal">Deep Learning</h3>
<p class="mt-4 whitespace-pre-line">Explore CNNs and Yolo v5 for advanced AI
capabilities.</p>
</div>
<div class="rounded-xl bg-base-200 p-6 text-left"><svg stroke="currentColor"
fill="currentColor" stroke-width="0" viewBox="0 0 512 512" class="h2" height="1em"
width="1em" xmlns="http://www.w3.org/2000/svg"
style="fill: url("#blue-gradient");">
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</svg>
<h3 class="mt-5 font-normal">Intereactive Learning</h3>
<p class="mt-4 whitespace-pre-line">benefit from hands-on sessions and self-study
resources.</p>
</div>
</div>
</div>
</section>
<section id="criteria">
<div class="layout py-20 text-center">
<h2 class="h1">Assessment Categories</h2>
<p class="h4 mt-2 font-normal">Assessing Competency Across Key Learning Domains</p>
<hr class="styled-hr mx-auto my-6">
<div class="grid grid-cols-1 gap-6 sm:grid-cols-2 lg:grid-cols-4">
<div class="rounded-xl bg-base-200 p-6 text-left"><svg stroke="currentColor"
fill="currentColor" stroke-width="0" viewBox="0 0 16 16" class="h2" height="1em"
width="1em" xmlns="http://www.w3.org/2000/svg"
style="fill: url("#blue-gradient");">
<path fill-rule="evenodd" clip-rule="evenodd"
d="M3.02 7.98L8 3l4.98 4.98L8 12.96 3.02 7.98zM8 10.77l2.79-2.79L8 5.19 5.21 7.98 8 10.77z">
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<h3 class="mt-5 font-normal">Comprehensive Python Mastery</h3>
<p class="mt-2">Evaluate students understanding of python basics, including variables
and functions, to ensure a strong foundation.</p>
</div>
<div class="rounded-xl bg-base-200 p-6 text-left"><svg stroke="currentColor"
fill="currentColor" stroke-width="0" viewBox="0 0 16 16" class="h2" height="1em"
width="1em" xmlns="http://www.w3.org/2000/svg"
style="fill: url("#blue-gradient");">
<path fill-rule="evenodd" clip-rule="evenodd"
d="M3.02 7.98L8 3l4.98 4.98L8 12.96 3.02 7.98zM8 10.77l2.79-2.79L8 5.19 5.21 7.98 8 10.77z">
</path>
</svg>
<h3 class="mt-5 font-normal">Model Evaluation Proficiency</h3>
<p class="mt-2">Assess the ability to apply regression techniques, data splitting and
manage biass-variance.</p>
</div>
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fill="currentColor" stroke-width="0" viewBox="0 0 16 16" class="h2" height="1em"
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style="fill: url("#blue-gradient");">
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d="M3.02 7.98L8 3l4.98 4.98L8 12.96 3.02 7.98zM8 10.77l2.79-2.79L8 5.19 5.21 7.98 8 10.77z">
</path>
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<h3 class="mt-5 font-normal">Algo. Application</h3>
<p class="mt-2">Measure competence in addressing classification challenges, implementing
algorithms like SVM.</p>
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fill="currentColor" stroke-width="0" viewBox="0 0 16 16" class="h2" height="1em"
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d="M3.02 7.98L8 3l4.98 4.98L8 12.96 3.02 7.98zM8 10.77l2.79-2.79L8 5.19 5.21 7.98 8 10.77z">
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<h3 class="mt-5 font-normal">Deep Learing</h3>
<p class="mt-2">Evaluate students' grasp of CNNs, tensorflow for model building, and
data augmentation techniques in the context of obj. Detection.</p>
</div>
<div class="rounded-xl bg-base-200 p-6 text-left"><svg stroke="currentColor"
fill="currentColor" stroke-width="0" viewBox="0 0 16 16" class="h2" height="1em"
width="1em" xmlns="http://www.w3.org/2000/svg"
style="fill: url("#blue-gradient");">
<path fill-rule="evenodd" clip-rule="evenodd"
d="M3.02 7.98L8 3l4.98 4.98L8 12.96 3.02 7.98zM8 10.77l2.79-2.79L8 5.19 5.21 7.98 8 10.77z">
</path>
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<h3 class="mt-5 font-normal">Presentation</h3>
<p class="mt-2">The clarity and effectiveness of the final presentation.</p>
</div>
</div>
</div>
</section>
<section id="rules" class="overflow-x-hidden">
<div class="layout py-20 text-center">
<h2 class="h1">What shall you expect?</h2>
<p class="h4 mt-2 font-normal">Happier life </p>
<hr class="styled-hr mx-auto my-6">
<ul class="mx-auto max-w-5xl space-y-5">
<li class="h3 flex gap-2 rounded-xl bg-base-200 py-6 px-4 text-left font-medium"><svg
stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 24 24"
class="h2 shrink-0 text-primary" height="1em" width="1em"
xmlns="http://www.w3.org/2000/svg" style="fill: url("#blue-gradient");">
<path fill="none" d="M0 0h24v24H0V0z"></path>
<path
d="M4 18.99h11c.67 0 1.27-.32 1.63-.83L21 12l-4.37-6.16C16.27 5.33 15.67 5 15 5H4l5 7-5 6.99z">
</path>
</svg>Proficiency in AI Fundamentals: Students can expect to leave with a strong
foundation in Python and a comprehensive understanding of key AI concepts, enabling them
to confidently navigate the world of artificial intelligence and machine learning.</li>
<li class="h3 flex gap-2 rounded-xl bg-base-200 py-6 px-4 text-left font-medium"><svg
stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 24 24"
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xmlns="http://www.w3.org/2000/svg" style="fill: url("#blue-gradient");">
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<path
d="M4 18.99h11c.67 0 1.27-.32 1.63-.83L21 12l-4.37-6.16C16.27 5.33 15.67 5 15 5H4l5 7-5 6.99z">
</path>
</svg> Advanced Modeling Skills: Attendees will develop the ability to create and assess
predictive models, adeptly handle data, and strike a balance between bias and variance
in AI model construction.
</li>
<li class="h3 flex gap-2 rounded-xl bg-base-200 py-6 px-4 text-left font-medium"><svg
stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 24 24"
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xmlns="http://www.w3.org/2000/svg" style="fill: url("#blue-gradient");">
<path fill="none" d="M0 0h24v24H0V0z"></path>
<path
d="M4 18.99h11c.67 0 1.27-.32 1.63-.83L21 12l-4.37-6.16C16.27 5.33 15.67 5 15 5H4l5 7-5 6.99z">
</path>
</svg>Algorithm Implementation: After the bootcamp, students will be equipped to tackle
classification challenges using algorithms like SVM, supported by practical experience
and essential evaluation metric comprehension.
</li>
<li class="h3 flex gap-2 rounded-xl bg-base-200 py-6 px-4 text-left font-medium"><svg
stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 24 24"
class="h2 shrink-0 text-primary" height="1em" width="1em"
xmlns="http://www.w3.org/2000/svg" style="fill: url("#blue-gradient");">
<path fill="none" d="M0 0h24v24H0V0z"></path>
<path
d="M4 18.99h11c.67 0 1.27-.32 1.63-.83L21 12l-4.37-6.16C16.27 5.33 15.67 5 15 5H4l5 7-5 6.99z">
</path>
</svg>Deep Learning Proficiency: Participants will exit the program with deep learning
expertise, proficient in constructing CNN models using TensorFlow, understanding data
preprocessing, and achieving mastery in object detection with YOLO V5. This prepares
them for impactful AI projects in various domains.
</li>
<li class="h3 flex gap-2 rounded-xl bg-base-200 py-6 px-4 text-left font-medium"><svg
stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 24 24"
class="h2 shrink-0 text-primary" height="1em" width="1em"
xmlns="http://www.w3.org/2000/svg" style="fill: url("#blue-gradient");">
<path fill="none" d="M0 0h24v24H0V0z"></path>
<path
d="M4 18.99h11c.67 0 1.27-.32 1.63-.83L21 12l-4.37-6.16C16.27 5.33 15.67 5 15 5H4l5 7-5 6.99z">
</path>
</svg>Industry-Relevant Skills: This bootcamp focuses on imparting skills highly
relevant to the current AI job market, enhancing participants' employability and career
advancement prospects.</li>
<li class="h3 flex gap-2 rounded-xl bg-base-200 py-6 px-4 text-left font-medium"><svg
stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 24 24"
class="h2 shrink-0 text-primary" height="1em" width="1em"
xmlns="http://www.w3.org/2000/svg" style="fill: url("#blue-gradient");">
<path fill="none" d="M0 0h24v24H0V0z"></path>
<path
d="M4 18.99h11c.67 0 1.27-.32 1.63-.83L21 12l-4.37-6.16C16.27 5.33 15.67 5 15 5H4l5 7-5 6.99z">
</path>
</svg> Ethical AI Practices: Graduates will leave with a strong understanding of the
ethical considerations in AI, ensuring they approach projects with a keen awareness of
potential biases and ethical implications, aligning with responsible AI development
principles.</li>
</ul>
</div>
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