Integrate effortlessly with any technology stack

Explore the Technologies Behind My Projects

kevtronix

kevtronix

It's where you are right now! Sleek and responsive portfolio website designed to showcase my professional and personal projects. Built using the Remix and Mantine, this site features a clean, user-friendly interface with dynamic content sections and interactive elements, all optimized for performance and accessibility. Highlights include an intuitive project gallery, a detailed about me section, and a contact form for seamless professional engagements.

Nature ID

Nature ID

Nature ID is an intuitive iOS application designed for nature enthusiasts to discover and learn about the flora and fauna around them. Built using Swift, the app currently utilizes the Plant.id API to identify plants accurately and efficiently. With plans to integrate advanced machine learning capabilities, Nature ID will soon expand its identification features to include animals, enhancing the user experience. This app offers a simple yet effective way to engage with nature, providing clear, reliable identifications and enriching outdoor adventures with valuable insights into the natural world.

CityScape Visualizer

CityScape Visualizer

CityScape Visualizer" is an application that transforms local city datasets into dynamic, interactive visualizations. Utilizing Remix with Mapbox and Deck.gl, this tool offers users an engaging way to explore urban metrics like demographics and economic data through intuitive maps and charts.

Movie Rating Prediction Factors

Movie Rating Prediction Factors

Using Python with libraries like NumPy, Pandas, Matplotlib, Seaborn, SciKit-Learn, and XGBoost, this project analyzes datasets to identify factors influencing movie ratings. Predictive models, including RandomForest and XGBoost regressors, are utilized to uncover patterns and predict ratings effectively.

Munch Map

Munch Map

MunchMap is an innovative platform designed to address food distribution challenges by redistributing food surplus to reduce waste. The backend API, built using Python, Django, and Django REST Framework, ensures efficient management and distribution of resources. On the frontend, React combined with Axios provides robust authentication and networking, offering a seamless user experience.

Blogfolio

Blogfolio

Blogfolio merges the nostalgic appeal of retro video games and pixel art with modern web technology, serving as both a personal blog and a project showcase. It features a responsive frontend built with React, create-react-app, react-router, and styled using Material-UI. The backend is developed using Python, Django, and Django REST Framework for robust functionality. A comprehensive CI/CD pipeline integrating GitHub Actions, Docker, and Google Cloud (Artifact Registry, Cloud Run, Cloud SQL) ensures seamless deployment and maintenance. This full-stack application is designed to captivate both tech enthusiasts and casual browsers, offering a unique platform for showcasing personal and professional projects.

ProseProjector

ProseProjector

This project explored the use of transformers and machine learning technologies to automate the creation of narrated multimedia content. Leveraging PyTorch and the cerspense/zeroscope_v2 models, it focused on video clip generation and upscaling. Integration of facebook/musicgen-small and suno/bark added rich background music and voice to enhance presentations, while BeautifulSoup and NLTK facilitated efficient article parsing for seamless content-to-clip conversion. This initiative demonstrated the potential of AI in transforming media production.