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-**AI-Powered Summaries**: Generate human-readable weather summaries using Google's Gemini AI
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-**Responsive Web Interface**: User-friendly interface built with Thymeleaf templates
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## Technologies Used
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-**Java 21**: Modern Java language features
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-**Open-Meteo API**: Weather data provider (client-side integration)
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-**Gradle**: Build and dependency management
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## 🚀 AI-Powered Development
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This project embraces the power of state-of-the-art AI tools to accelerate development, improve code quality, and create intelligent weather summaries:
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-**GitHub Copilot**: Used extensively for smart code completion, suggestions, and refactoring.
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-**JetBrains Junie**: Provided advanced AI-assisted programming and code review within the IDE.
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-**LangChain4j**: Integrated for building AI-powered Java workflows and enabling seamless interaction with LLMs.
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-**Google AI Studio Gemini Models**: Leveraged to generate insightful and contextual weather data summaries for each city.
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