Game Data Acquisition

Screen Capture Module: Code to capture screen data for analysis. Fps for continuous capturing! Game State Parser: Software to interpret the screen capture data and convert it into a usable game state format. Action Interface: Code to map AI decisions to in-game actions.

AI Development

AI Algorithm Files: Core AI logic and decision-making algorithms. Machine Learning Model Files: If using machine learning, files for training models, including neural network definitions, data preprocessing, and training scripts. AI Training Data Storage: Database or file system for storing training data collected from the game.

Integration and Testing

Integration Scripts: Code to tie together the game data acquisition layer with the AI algorithms. Testing Framework: Automated tests to verify the AI's performance and reliability. Bug Tracking System: A system or tool to track and manage issues found during testing.

Training and Refinement

Training Scripts: Automated scripts to run the game and AI for training purposes. Performance Metrics: Tools or scripts to evaluate the AI's performance and gather statistics. Refinement Tools: Utilities to fine-tune AI algorithms and parameters based on performance metrics.

Deployment

Deployment Scripts: Scripts for deploying the AI, including any necessary setup on the host machine.

Maintenance and Updates

Update Mechanisms: Procedures and code for updating the AI and its components. Maintenance Logs: Records of maintenance activities and AI performance over time.