Weather App

The Weather App is a responsive and interactive web application developed using HTML, CSS, and JavaScript, designed to provide real-time weather information for cities worldwide. Leveraging the OpenWeatherMap API, users can effortlessly search for their desired city through an intuitive search bar with dynamic autocomplete suggestions. Upon selecting a city, the app displays current weather conditions, including temperature, "feels like" metrics, and descriptive icons, all presented in a clean and visually appealing interface. The application emphasizes user experience with its seamless navigation, efficient data handling, and responsive design, ensuring accessibility across various devices. This project showcases my proficiency in front-end development, API integration, and creating user-centric web solutions.

Pantry Tracker Application

This Pantry App is a modern, user-friendly web application built with Next.js and integrated with Firebase to offer seamless authentication and data management. Users can sign in using their Google account, and the app features an interactive chat interface powered by Google's Generative AI to provide real-time assistance. The app’s clean, responsive design ensures smooth navigation, with a chat history that captures both user inputs and bot responses, styled for clarity and ease of use. Leveraging Firebase’s Firestore for data storage, the app maintains secure and efficient user management. Whether users are seeking personalized support or interacting with dynamic content, this app delivers a robust, scalable solution with intuitive functionality.

Crime Predictor

AI-driven Crime Prediction Application that uses public crime data released by the Arizona State University Police Department and leverages machine learning algorithms to forecast potential crime risks based on the user's input of location and time. Used Python's scikit library's Random Forest Classifer to predict the probability of crime occuring with data from https://cfo.asu.edu/crime-logs.