Weather Assistant

• GIF

  Smart Weather Assistant (Locally)

Smart Weather Assistant

Inspiration

I was inspired to create a tool that not only gives users the current weather but also provides air quality information and personalized recommendations. During my research, I noticed that while many weather apps exist, few combine real-time weather, AQI, and actionable advice in one simple interface. I wanted a lightweight solution that anyone could run locally to quickly get a snapshot of the environment in their city.

What I Built

Smart Weather Assistant is a Java-based web application that:

• Fetches current weather data using the OpenWeather API.
• Retrieves air quality index (AQI) for the user’s location.
• Provides recommendations based on temperature, weather conditions, and air quality.
• Stores a history log of previous queries for easy reference.

All pages are served through a lightweight Spark Java web server, with pretty HTML/CSS styling for a clean, responsive user interface.

What I Learned

Through building this project, I learned:

• How to integrate REST APIs in Java using HttpClient and JSONObject.
• Dynamic HTML rendering in Spark Java and how to use templates with embedded data.
• File I/O in Java for history tracking.
• Best practices in UX design, such as readable layouts, icons, and responsive cards.
• Handling network errors and API failures gracefully.

Challenges

• Working entirely locally, without deploying to a cloud server, made testing a bit tricky.
• Formatting dynamic HTML output in Java while keeping the interface modern and readable.
• Integrating AQI data with weather data and providing meaningful recommendations.
• Ensuring the project is self-contained, so anyone can run it locally without extra setup.

Overall, this project gave me a chance to combine Java programming, web development, API integration, and UX design into one cohesive tool.

Built With

• .txt
• css
• eclipse
• git
• github
• html
• java
• localhost
• openweathermapapi
• org.json
• spark-java