The goal was to empower users by transforming everyday weather data into a personalized, visually engaging, and community-driven experience, making forecasts more intuitive, accessible, and meaningful.

From explorations to final designs in 5 weeks while balancing concurrent projects.

Nimbus was conceived to revolutionize how people interact with weather, bridging the gap between dry forecasts and meaningful, contextual awareness.

Traditional weather apps often overwhelm users with data and lack personalization, resulting in low engagement. Nimbus aimed to bring clarity, personality, and community to weather discovery.

This category details the step-by-step approach taken during the project, including research, planning, design, development, testing, and optimization phases.

Analyzed weather app usage trends, user frustrations with standard interfaces, and opportunities for personalization and joy.

Crafted vibrant wireframes and high-fidelity designs that balanced clarity with delight, focusing on intuitive navigation and multi-layered information.

Built core features including AI-powered forecasts, community-driven insights, and an adaptable design that elevated usability and feel.

Conducted rigorous testing across various devices and platforms to ensure compatibility and performance. Gathered user feedback through beta testing and iteratively optimized the app based on usability metrics and user satisfaction.

The solution was to build a reimagined weather experience that’s intuitive, beautiful, and community-infused. Key features include:

Users get instant, accurate weather updates with localized details, ensuring they can plan their day with confidence.

Beyond temperatures, Nimbus highlights lifestyle-focused insights such as “best time for a walk” or “rain expected during commute"

A platform that not only informs but also connects, allowing users to share experiences, tips, and adapt weather updates into daily life choices