Who Am I?
Welcome to my coding cosmos! I am Arpit Chuabay, a fervent coding enthusiast driven by an
insatiable curiosity to unravel the intricacies of technology, one line of code at a time.
With a deep-seated passion for programming, I embark on a journey where each challenge becomes
an opportunity to hone my skills and expand my knowledge base. From crafting elegant algorithms
to building intuitive user interfaces, I thrive on transforming ideas into innovative solutions.
My journey is not just about mastering languages and frameworks; it's about embracing the art of
problem-solving and the thrill of continuous learning. Armed with a strong foundation in
programming principles and a commitment to excellence, I eagerly seek to contribute my skills to
projects that push the boundaries of what's possible.
Join me as I navigate through the ever-evolving landscape of technology, fueled by
determination, creativity, and a relentless pursuit of excellence. Together, let's make an
impact and shape the future with code
What I have work on ?
Money Mentor is a sophisticated financial advisor landing page featuring an integrated chatbot tailored to handle typical financial inquiries. This project exemplifies seamless integration between front-end web development and the Python Flask framework. The technology stack includes HTML and CSS for the front-end, while Flask serves as the backend framework. Python libraries such as PyTorch and NLTK enhance functionality. Together, these components enable robust and responsive user interactions, setting a high standard in modern web development for financial services.
The Club-Smith is a pioneering web-based platform designed to revolutionize the operations of student clubs within an educational institution. By combining the power of HTML, CSS, JavaScript, Python, and the Django framework, the system offers a comprehensive suite of features aimed at streamlining club management, fostering collaboration, and facilitating communication among members. The system is meticulously designed to provide a seamless experience for members, making it effortless for them to participate in club activities, share resources, and collaborate on projects.
Welcome to the Helmet Detection Using YOLOv8 project! Powered by the YOLOv8 model, a cutting-edge framework in the field of computer vision, this project stands at the forefront of object detection technology. YOLOv8, known for its exceptional speed and accuracy, has been meticulously trained to excel in real-time detection tasks, making it ideal for applications such as identifying helmets in diverse visual environments. This comprehensive guide is designed to empower users of all levels—whether you're just starting out or are experienced in machine learning and computer vision.
DAI (Detect AI Involvement) is an advanced tool designed to identify and analyze the presence of AI-generated content across various mediums. With a focus on detecting AI involvement in videos (such as face-swapped deepfakes), images, audio mimicry, and text, DAI leverages state-of-the-art machine learning and deep learning techniques to ensure authenticity and traceability in digital content. The project aims to combat misinformation, protect privacy, and promote ethical AI usage by empowering users with reliable detection tools for AI-generated content.
Skills
Where I have Worked