What's included

• Project Documentation

  Comprehensive documentation including project goals, technical specifications, data sources, and model details.

• Trained AI Model

  Final AI model files (e.g., .pt, .h5, .pkl) ready for deployment, including saved weights and configurations.

• Source Code Repository

  Well-documented codebase with training, inference, and integration scripts, hosted on a version-controlled platform (e.g., GitHub).

• Deployment Package

  Deployment-ready scripts, containerized solutions (e.g., Docker), and cloud deployment guides for seamless integration.

• Model Performance Report

  Detailed evaluation metrics (e.g., accuracy, F1-score) and benchmarking results to demonstrate model effectiveness.

• User Interface (if applicable)

  Functional web/mobile app or API endpoints for easy interaction with the AI model.

• Training and Support Materials

  User manuals, training sessions, and post-deployment support to ensure smooth adoption and maintenance.

• Ethical and Compliance Report

  Documentation on bias mitigation, data privacy compliance, and model explainability.

• Future Recommendations

  Scalability plans, model improvement suggestions, and a roadmap for future iterations.

• Optional: Custom AI Tools

  Specialized tools or plugins tailored to the client’s specific use case.