"Create an Android application using Flutter with the following features: 1. Sandbox Environment: The app should include a secure sandbox where the user or the AI can execute, test, and debug Python code. 2. AI Integration: Allow integration with local AI models in GGUF format. The AI should be capable of modifying and improving its code autonomously. It should be able to install required libraries and packages, execute the code, and debug itself. 3. User Interface: Create a simple, user-friendly interface with input fields where users can enter Python code or commands. There should be a button to run the code and display results/output within the app. 4. Autonomous Code Modification: The AI should autonomously improve its own code, such as adding functionalities (e.g., image processing, video streaming, long-term memory, etc.) by installing necessary packages and dependencies, and running the modifications within the sandbox. 5. Speech and Vision Support: The AI should have functionalities like speech-to-text, text-to-speech, and camera integration to enable live video processing and real-time responses. 6. GGUF Model Integration: Provide an interface where users can upload GGUF models for AI usage. The AI should be able to manage these models for various tasks like natural language processing, code execution, etc. 7. Long-term Memory: Implement a memory system where the AI can remember previous conversations or commands, allowing it to better understand user interactions and improve over time. Build this app in a way that is resource-efficient and optimized for running on mobile devices like Android. The app should be capable of handling multiple AI models, code execution, and should provide real-time feedback to the user. Once built, the app should be downloadable as an .apk file and also offer functionality to export created code