SkyCaster – Web Weather App
Developed and iteratively improved a weather application during my internship (APL), using a GenAI-assisted workflow.
I focused on usability and clarity, testing interactions and refining the interface based on how users interact with the app.
Worked with API data to display real-time weather information, making continuous, targeted adjustments to enhance the experience.
I continue to refine the application by identifying small changes that improve the overall user experience.
What I focused on
- designing a clear and intuitive user interface
- testing interactions and identifying areas for improvement
- improving input handling and validation
- refining the experience through iterative improvements
Key features
- search by city name
- real-time weather data from the OpenWeather API
- 5-day forecast overview
- input validation and user feedback
- dynamic background based on current weather conditions
- background adapts to time of day (day/night)
What I learned
This project strengthened my ability to improve a product through iterative changes, focusing on usability, clarity, and user feedback.
It showed how testing interactions and making small adjustments can significantly improve the overall user experience.