LLM Based Weather App

Large Language Models (LLM), Java, Android Development, Android Studio, Gradle, Firebase, Google Maps API, Jacoco, JUnit, Espresso, GCP, Flask, Python, SQLite, SQLAlchemy, REST APIs

• Developed a native Android application using modern Android SDK practices.
• Engineered a scalable Flask backend with a modular blueprint architecture.
• Utilized a multi-module Gradle build system with custom JVM configurations and Gradle wrapper.
• Implemented AndroidX libraries including AppCompat, ConstraintLayout, Navigation components, and Material Design.
• Integrated Firebase for secure user authentication.
• Connected with Google Maps APIs to enable interactive mapping features.
• Leveraged SQLAlchemy with a SQLite database for efficient data management.
• Integrated external APIs (e.g., OpenWeatherMap) for real-time data fetching.
• Designed well-documented RESTful endpoints for robust API communication.
• Adopted agile methodologies to iteratively enhance features and meet evolving requirements.
• Enabled Jacoco for code coverage analysis, ensuring high-quality, maintainable code.