This web app allows users to scan their skincare products and see a list of potentially harmful ingredients. By providing transparency around skincare ingredients, the app empowers consumers to make more informed choices.

This project is a Streamlit web app that uses the Prophet forecasting model to predict global temperature anomalies over time. It includes visualizations like animated charts and heatmaps to explore trends and seasonality, as well as an integrated question-answering chatbot.

The project is built using Streamlit, Pandas, Folium, Google Cloud Storage, Transformers, and Vertex AI, and aims to inform and engage users by visualizing real-time data about oil spills and garbage patches across the world's oceans. Users can report new incidents, interact with a question-answering chatbot, and explore the interactive map interface.

This portfolio website template, created as part of the Computer Science LLC, uses HTML and CSS to help beginners showcase their projects, achievements, blog, and photos. With the option to explore popular web frameworks like React, Angular, or Vue.js, the template provides a solid foundation to build an engaging online presence.