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@guptakushal03
guptakushal03 committed May 26, 2024
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5 changes: 3 additions & 2 deletions about.html
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet" href="style.css">
<script defer src="script.js"></script>
<link rel="icon" href="icon.png" type="image/icon type">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css">
<title>TechFolio - About</title>

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</div>
<br/>
<div class="navbar">
<a href="https://guptakushal03.github.io/TechFolio/" style="font-size: 30px;"><span class="active">𝐓𝐞𝐜h𝐅𝐨𝐥𝐢𝐨</span></a>
<a href="index.html" style="font-size: 30px;"><span class="active">𝐓𝐞𝐜h𝐅𝐨𝐥𝐢𝐨</span></a>
<div style="text-align: center;" class="nav_links nav_links_ul" id="navLinks">
<i class="fa fa-times cross hidden" onclick="hideMenu()"></i>
<a href="https://guptakushal03.github.io/TechFolio/">Home</a>
<a href="index.html">Home</a>
<a href="about.html"><span class="active">About</span></a>
<a href="contact.html">Contact</a>
</div>
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5 changes: 3 additions & 2 deletions contact.html
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet" href="style.css">
<script defer src="script.js"></script>
<link rel="icon" href="icon.png" type="image/icon type">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css">
<title>TechFolio - Contact</title>

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</div>
<br/>
<div class="navbar">
<a href="https://guptakushal03.github.io/TechFolio/" style="font-size: 30px;"><span class="active">𝐓𝐞𝐜h𝐅𝐨𝐥𝐢𝐨</span></a>
<a href="index.html" style="font-size: 30px;"><span class="active">𝐓𝐞𝐜h𝐅𝐨𝐥𝐢𝐨</span></a>
<div style="text-align: center;" class="nav_links nav_links_ul" id="navLinks">
<i class="fa fa-times cross hidden" onclick="hideMenu()"></i>
<a href="https://guptakushal03.github.io/TechFolio/">Home</a>
<a href="index.html">Home</a>
<a href="about.html">About</a>
<a href="contact.html"><span class="active">Contact</span></a>
</div>
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53 changes: 26 additions & 27 deletions index.html
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet" href="style.css">
<script defer src="script.js"></script>
<link rel="icon" href="icon.png" type="image/icon type">
<link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Oswald:wght@350&display=swap">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css">
<title>TechFolio - Home</title>
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<span class="skill-bubble">Python</span> &nbsp;
<span class="skill-bubble">Streamlit</span> &nbsp;
</div>
<div class="project-link"><a href="https://book-recommender-system-by-kg.streamlit.app/" target="_blank">View Project</a></div>
</p><br>
<div class="project-link"><a href="https://book-recommender-system-by-kg.streamlit.app/" target="_blank">View Project Demo</a></div>
</p><br/>

<div class="vertical-long-line"></div>
<br/><br/>

<span class="project-title">Placement Cell WebApp</span>
<span class="project-title">Data Science Projects</span>
<p class="project-description">
The Placement Cell webapp is a dynamic hub connecting students and recruiters seamlessly. Designed for ease of use, students can register, login, and explore a curated list of job opportunities posted by recruiters. The intuitive interface allows students to apply directly to these positions. Recruiters, on the other hand, can effortlessly post job openings, creating a streamlined recruitment process. To foster communication and collaboration, the platform features a dedicated discussion forum where students and recruiters can engage in meaningful conversations, facilitating a robust exchange of information and ideas. This comprehensive solution aims to bridge the gap between talent and opportunities in a digital ecosystem, ensuring a smooth and efficient placement experience for both students and recruiters.
During my internship at CodSoft, I led the development of several data science projects. These projects involved tasks like filtering data and building models to predict outcomes based on given inputs. I used tools like LogisticRegression, LinearRegression, RandomForestRegression, and Ridge from sklearn to train these models. Additionally, I used seaborn for easy-to-understand data visualization. The data for these projects was obtained from platforms like Kaggle, ensuring its quality and relevance. Some notable projects I worked on include predicting Titanic survival, movie ratings, iris flower types, and sales. Each project required a good grasp of data science concepts and careful model training.
<div>
<span class="skill-bubble">Python</span> &nbsp;
<span class="skill-bubble">Django</span> &nbsp;
<span class="skill-bubble">HTML 5</span> &nbsp;
<span class="skill-bubble">CSS 3</span> &nbsp;
<span class="skill-bubble">MySQL</span> &nbsp;
<span class="skill-bubble">Machine Learning Algorithms</span> &nbsp;
<span class="skill-bubble">Jupyter Notebook</span> &nbsp;
</div>
<div class="project-link"><a href="" target="_blank">View Project</a></div>
<div class="project-link"><a href="" target="_blank">View Source Code</a></div>
</p><br/>

<div class="vertical-long-line"></div>
<br/><br/>

<span class="project-title">Psychological Telegram ChatBot</span>
<span class="project-title">Placement Cell WebApp</span>
<p class="project-description">
PeacefulPal is your portable psychologist, offering insights and support at your fingertips. Trained on a vast dataset, it responds to psychological inquiries with empathy and practical advice. Whether you're navigating emotional turmoil or seeking guidance on personal growth, PeacefulPal provides tailored suggestions and coping strategies. It promotes self-reflection, encouraging users to explore their thoughts and feelings in a safe, confidential space. Continuously learning and evolving, PeacefulPal adapts to user interactions, ensuring that its responses remain relevant and helpful over time. With PeacefulPal by your side, unraveling the complexities of the mind becomes more accessible, empowering you to cultivate emotional well-being and resilience.
Led a four-member team during my degree curriculum to develop a project centered around the placement cell. Additionally, I took charge of documentation and preparing the SRS report for the project.<br/><br/>
The Placement Cell webapp is a dynamic hub connecting students and recruiters seamlessly. Designed for ease of use, students can register, login, and explore a curated list of job opportunities posted by recruiters. The intuitive interface allows students to apply directly to these positions. Recruiters, on the other hand, can effortlessly post job openings, creating a streamlined recruitment process. To foster communication and collaboration, the platform features a dedicated discussion forum where students and recruiters can engage in meaningful conversations, facilitating a robust exchange of information and ideas. This comprehensive solution aims to bridge the gap between talent and opportunities in a digital ecosystem, ensuring a smooth and efficient placement experience for both students and recruiters.
<div>
<span class="skill-bubble">DialogfLow</span> &nbsp;
<span class="skill-bubble">Telegram Bot</span> &nbsp;
<span class="skill-bubble">Chat Bot Training</span> &nbsp;
<span class="skill-bubble">Python</span> &nbsp;
<span class="skill-bubble">Django</span> &nbsp;
<span class="skill-bubble">HTML 5</span> &nbsp;
<span class="skill-bubble">CSS 3</span> &nbsp;
<span class="skill-bubble">MySQL</span> &nbsp;
</div>
<div class="project-link"><a href="http://t.me/PeacefulPalBot" target="_blank">View Project</a></div>
<div class="project-link"><a href="" target="_blank">View Source Code</a></div>
</p><br/>

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<br/><br/>

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<span class="skill-bubble">OpenAI</span> &nbsp;
<span class="skill-bubble">OS</span> &nbsp;
</div>
<div class="project-link"><a href="https://github.com/guptakushal03/Virtual-Voice-Assistant" target="_blank">View Project</a></div>
<div class="project-link"><a href="https://github.com/guptakushal03/Virtual-Voice-Assistant" target="_blank">View Source Code</a></div>
</p><br/>

<div class="vertical-long-line"></div>
<br/><br/>

<div class="vertical-long-line"></div>
<br/><br/>

<span class="project-title">The Weather App</span>
<span class="project-title">The Weather WebApp</span>
<p class="project-description">
Introducing a responsive weather forecasting project seamlessly integrated with the OpenWeatherMap API. It provides users with real-time weather updates and future predictions for any location worldwide. With the option to input a specific location or utilize the "use current location" feature, users can effortlessly access accurate weather data tailored to their needs, whether on desktop or mobile devices. The project not only displays current weather conditions but also offers a detailed forecast for the next five days, empowering users to plan ahead with confidence. Through intuitive design and reliable data retrieval, this responsive project ensures a seamless user experience across all devices, making it easier than ever to stay informed about weather patterns and make informed decisions accordingly.
<div>
<span class="skill-bubble">HTML 5</span> &nbsp;
<span class="skill-bubble">CSS 3</span> &nbsp;
<span class="skill-bubble">JavaScript</span> &nbsp;
</div>
<div class="project-link"><a href="https://guptakushal03.github.io/The-Weather-App/" target="_blank">View Project</a></div>
<div class="project-link"><a href="https://guptakushal03.github.io/The-Weather-App/" target="_blank">View Project Demo</a></div>
</p><br/>

<div class="vertical-long-line"></div>
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<p class="project-description">
Introducing WhatsApp Chat Analyzer, a powerful tool crafted with Python and Streamlit, designed to provide users with comprehensive insights into their WhatsApp chat data. From total message counts to word frequencies, media shared, and even links exchanged, this tool offers a multifaceted analysis of your conversations. Delve deeper into your chat history with features like monthly activity timelines, identifying your most active periods, and visualizing geographic activity patterns through interactive maps. Uncover trends and patterns with ease through word clouds highlighting frequently used terms. Whether for personal reflection or group analysis, WhatsApp Chat Analyzer offers a robust platform for exploring the dynamics of your conversations in depth.
<div>
<span class="skill-bubble">Data Processing</span> &nbsp;
<span class="skill-bubble">Python</span> &nbsp;
<span class="skill-bubble">Streamlit</span> &nbsp;
<span class="skill-bubble">HTML 5</span> &nbsp;
<span class="skill-bubble">CSS 3</span> &nbsp;
<span class="skill-bubble">JavaScript</span> &nbsp;
</div>
<div class="project-link"><a href="https://whatsapp-chat-analyser-by-kg.streamlit.app/" target="_blank">View Project</a></div>
<div class="project-link"><a href="https://whatsapp-chat-analyser-by-kg.streamlit.app/" target="_blank">View Project Demo</a></div>
</p><br/>

<br/><br/><br/>
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</div>

</body>
</html>
</html>
2 changes: 1 addition & 1 deletion script.js
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document.getElementById("subject").value = "";
document.getElementById("message").value = "";
alert("Too lazy to handle forms, but u sure can contact me using my social links!");
}
}
2 changes: 1 addition & 1 deletion style.css
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.vertical-line {
content: "";
position: absolute;
top: 73.0625%;
top: 77.75%;
width: 10%;
height: 0.1%;
background-color: #03875b;
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