For photography enthusiasts eager to capture the perfect sunset, the challenge often lies in predicting the ideal moment amidst unpredictable weather conditions. Ember seeks to alleviate this concern through its innovative approach to sunset forecasting.
Utilizing advanced machine learning techniques, Ember provides a 9-day forecast on sunset quality tailored to your geographical location. The platform has been developed using custom models trained on meticulously curated datasets, which aim to offer unmatched insights into optimal sunset conditions.
Key features of Ember include:
- Intelligent forecasts that assign quality scores for sunset conditions over the next nine days.
- Detailed visualizations that explain the probabilities underlying the sunset quality scores.
- Accurate sunset timing specific to your location.
- Ongoing enhancements to predictions as the machine learning model is refined daily.
- A user-friendly interface supporting automatic light and dark modes.
- The opportunity for users to contribute to model improvement by submitting their sunset photographs.
- Global accessibility, ensuring functionality regardless of your location or time zone.
Developed by a team of dedicated UC Berkeley computer science students with a passion for sunsets, Ember aims to enrich the experience of sunset photography for users worldwide. Feedback and suggestions are welcomed, and users can reach out via Instagram at @ember.sunset.app.
Ember's predictive models utilize weather data from multiple sources, including modified information derived from Apple Weather, ensuring a comprehensive approach to forecasting sunset conditions.
Visão geral
Ember: Vivid Sunset Prediction é um software Freeware a categoria (2) desenvolvido pela Anirudh Kotamraju.
É a versão mais recente de Ember: Vivid Sunset Prediction 1.0.6, lançado em 19/12/2024. Inicialmente foi adicionado ao nosso banco de dados em 19/12/2024.
Ember: Vivid Sunset Prediction é executado nos seguintes sistemas operacionais: iOS.
Usuários de Ember: Vivid Sunset Prediction deram-lhe uma classificação de 5 de 5 estrelas.
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