I love building beautiful websites and exploring UI/UX.
See My Work
Hi, I'm Arpitha, a passionate front-end developer and UI/UX designer in the making. I love building beautiful and interactive websites that not only function smoothly but also provide great user experiences. I'm currently in my Pre-Final year of Computer Science and working on my portfolio.
A personalized fashion solution that uses real-time weather data and AI to suggest suitable outfits, enhanced with a virtual try-on feature and seamless e-commerce integration.
View ProjectFaculty Bot is a smart virtual assistant that helps students get quick info about professors, courses, and office hours, making communication easier and faster.
View ProjectBuilt a smartphone-controlled car using Arduino UNO and Bluetooth, showcasing basic robotics and wireless control.
Developed a simple smoke detection system using sensors and Arduino to alert users of potential fire hazards.
Completed a course on secure software development, emphasizing key practices to identify vulnerabilities and enhance software security.
Completed a comprehensive course on Generative AI, covering tools and concepts in artificial intelligence to understand and apply generative models effectively.
Completed a micro-course on setting personal boundaries and mastering assertive communication skills for personal and professional growth.
Participated in a bot development hackathon using UiPath, building automation solutions in a collaborative and competitive environment.
Participated and presented a poster in the "International Conference and Workshop on Twelve Principles of Green Chemistry and UN-SDGs" organized by Hindu College, University of Delhi.
Presented research paper on water contaminants assessment using physicochemical parameters at the 6th International Conference on Recent Advances in Materials and Manufacturing.
Participated in a Web3 training session focused on building decentralized applications using the Aptos blockchain ecosystem.
Gained foundational knowledge of machine learning, including supervised and unsupervised learning, algorithms, and real-world AI applications.
Learned neural network architecture, perceptrons, activation functions, and how neural networks are trained for intelligent systems.