Fully-trained and fine-tuned Generative AI models tailored to the client's specific use case. Formats: Model files (e.g., .h5, .pt), configuration files. Quantities: One model per project scope. Revisions: Up to three iterations based on client feedback.

Complete deployment setup, including scripts and documentation for hosting the AI model on cloud platforms or on-premises servers. Formats: Docker containers, deployment scripts (e.g., .sh, .yml), detailed documentation (e.g., .pdf, .md). Quantities: One deployment package. Revisions: Two revisions to ensure smooth deployment.

Comprehensive analysis report detailing model performance, accuracy, and efficiency, including visualizations and recommendations for further improvements. Formats: PDF report, supplementary data files (e.g., .csv, .xlsx), visual charts (e.g., .png, .svg). Quantities: One detailed report. Revisions: One revision to address client queries and ensure clarity.