Project Blue Sky

About the Project

Project Blue Sky is a cross-platform mobile application built with Flutter that integrates machine learning and data science capabilities. The project combines mobile app development with Jupyter notebook-based research and model development, creating a comprehensive solution that bridges advanced analytics with user-friendly mobile interfaces. The application demonstrates the integration of complex computational models into accessible mobile platforms for iOS and Android.

Key Features

• •Cross-platform mobile application for iOS and Android
• •Integrated machine learning models for data analysis
• •Research-driven development with Jupyter notebooks
• •Native platform integration (Swift for iOS, C++ for performance)
• •Custom Flutter widgets and UI components
• •Data processing and analytics pipeline
• •Real-time predictions and insights on mobile devices

Challenges & Solutions

• ⚡Integrating complex ML models into mobile application framework
• ⚡Optimizing model performance for mobile device constraints
• ⚡Managing cross-platform compatibility across iOS and Android
• ⚡Bridging Python-based research with Flutter production code
• ⚡Ensuring efficient memory usage with large datasets on mobile

Outcomes & Impact

• ✓Successfully deployed ML-powered Flutter application
• ✓Achieved cross-platform compatibility with native performance
• ✓Integrated 90%+ Jupyter notebook-based research into production
• ✓Created seamless data science to mobile app pipeline