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@guptakushal03
guptakushal03 committed Mar 25, 2024
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</div>
<br/>
<div class="navbar">
<a href="" 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=""><span class="active">Home</span></a>
<a href="index.html"><span class="active">Home</span></a>
<a href="about.html">About</a>
<a href="contact.html">Contact</a>
</div>
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<p1 style="font-size: 38px;"><span class="project-showcase-main"> 𝐖𝐡𝐚𝐭 𝐈 𝐡𝐚𝐯𝐞 𝐰𝐨𝐫𝐤𝐞𝐝 𝐨𝐧</span></p1>

<div class="projects">
<span class="project-title">Virtual Voice Assistant</span>
<span class="project-title">Book Recommender System</span>
<p class="project-description">
This project is an advanced virtual desktop assistant developed in Python. It allows users to interact with their computer using voice commands, and the assistant responds with a synthesized voice. The assistant can perform various tasks, such as playing specific music, opening predefined applications, navigating to particular websites, displaying the current time. It can also engage in voice-based conversations with ChatGPT 3.5. This comprehensive assistant provides a user-friendly and interactive experience, leveraging voice recognition and artificial voice generation technologies.
Introducing an intelligent book recommendation system driven by sophisticated content analysis. Using a comprehensive dataset featuring 1750 books from Kaggle, this project employs advanced content-based filtering techniques. By creating vectors based on various content features such as genre, author, and plot keywords, the system excels at understanding the unique difference and similarity of each book. Users can seamlessly discover new books by inputting their favorite book, and the system responds with a tailored list of content-wise related recommendations. Additionally, the system ensures to suggest all books of the same genre, providing users with a comprehensive selection within their preferred literary landscape. The streamlined frontend, crafted with Streamlit, ensures a user-friendly experience, making book exploration both personalized and enjoyable. This project gives book recommendations by prioritizing content relevance and user satisfaction, while also broadening the reader's horizons within their preferred genres.
<div>
<span class="skill-bubble">Machine Learning</span> &nbsp;
<span class="skill-bubble">Data Processing</span> &nbsp;
<span class="skill-bubble">Python</span> &nbsp;
<span class="skill-bubble">OpenAI</span> &nbsp;
<span class="skill-bubble">OS</span> &nbsp;
<span class="skill-bubble">Streamlit</span> &nbsp;
</div>
<div class="project-link"><a href="https://github.com/guptakushal03/Virtual-Voice-Assistant" 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</a></div>
</p><br>

<div class="vertical-long-line"></div>
<br/><br/>
<span class="project-title">Movie Recommender System</span>

<span class="project-title">Placement Cell WebApp</span>
<p class="project-description">
Introducing an intelligent movie recommendation system driven by sophisticated content analysis. Leveraging a comprehensive dataset featuring 5000 films from Kaggle, this project employs advanced content-based filtering techniques. By creating vectors based on various content features such as genre, director, and plot keywords, the system excels at understanding the unique nuances of each film. Users can seamlessly discover new movies by inputting their favorite film, and the system responds with a tailored list of content-wise related recommendations. The streamlined frontend, crafted with Streamlit, ensures a user-friendly experience, making movie exploration both personalized and enjoyable. This project redefines movie recommendations by prioritizing content relevance and user satisfaction.
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">Machine Learning</span> &nbsp;
<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">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="https://github.com/guptakushal03/Movie-Recommender-System" target="_blank">View Project</a></div>
<div class="project-link"><a href="" target="_blank">View Project</a></div>
</p><br/>

<div class="vertical-long-line"></div>
<br/><br/>
<span class="project-title">Women Safety Application</span>

<span class="project-title">Psychological Telegram ChatBot</span>
<p class="project-description">
Empowering women with a sense of security, the innovative Women's Safety App is a comprehensive solution designed to provide quick assistance in times of distress. The app features an intuitive SOS button that, when activated, automatically dispatches emergency messages to pre-selected contacts, ensuring a swift and discreet response. Going beyond personal contacts, the app includes a direct communication channel with law enforcement, facilitating a rapid response from authorities when needed. Additionally, the app offers a curated list of emergency contacts, allowing users to connect with essential services with a single click. This holistic approach to women's safety integrates cutting-edge technology with a user-friendly interface, making personal security a priority in the digital age.
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.
<div>
<span class="skill-bubble">Kotlin</span> &nbsp;
<span class="skill-bubble">XML</span> &nbsp;
<span class="skill-bubble">Firebase</span> &nbsp;
<span class="skill-bubble">Application Deployment</span> &nbsp;
<span class="skill-bubble">DialogfLow</span> &nbsp;
<span class="skill-bubble">Telegram Bot</span> &nbsp;
<span class="skill-bubble">Chat Bot Training</span> &nbsp;
</div>
<div class="project-link"><a href="https://github.com/guptakushal03/Women-Safety-App" target="_blank">View Project</a></div>
</p><br>
<div class="project-link"><a href="http://t.me/PeacefulPalBot" target="_blank">View Project</a></div>
</p><br/>

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

<span class="project-title">Virtual Voice Assistant</span>
<p class="project-description">
This project is an advanced virtual desktop assistant developed in Python. It allows users to interact with their computer using voice commands, and the assistant responds with a synthesized voice. The assistant can perform various tasks, such as playing specific music, opening predefined applications, navigating to particular websites, displaying the current time. It can also engage in voice-based conversations with ChatGPT 3.5. This comprehensive assistant provides a user-friendly and interactive experience, leveraging voice recognition and artificial voice generation technologies.
<div>
<span class="skill-bubble">Python</span> &nbsp;
<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>
</p><br/>

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

<span class="project-title">Placement Cell WebApp</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.
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<span class="skill-bubble">MySQL</span> &nbsp;
</div>
<div class="project-link"><a href="https://github.com/guptakushal03/Placement-Cell-WebApp" target="_blank">View Project</a></div>
</p>
</p><br/>

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

<span class="project-title">The Weather App</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>
</p><br/>

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

<span class="project-title">WhatsApp Chat Analyser</span>
<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">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>
</p><br/>

<br/><br/><br/>
<span class="project-title" style="align-items: center; justify-content: center; display: flex;">More coming soon...</span>
</div>
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