What's included

• Trained Machine Learning Model

  A fully trained and validated machine learning or deep learning model, optimized for the specific task or problem defined in the project scope. This model should be ready for deployment or integration into the client's systems.

• Model Performance Report

  A comprehensive report detailing the model's performance metrics, including accuracy, precision, recall, F1 score, or other relevant measures depending on the type of AI task. This report should also include visualizations of the model's performance.

• Technical Documentation

  Detailed technical documentation covering the model architecture, data preprocessing steps, training process, and instructions for deploying and maintaining the model. This should enable the client's technical team to understand and work with the delivered AI solution.

• API or Software Integration Package

  A fully functional API or software package that allows the client to easily integrate the AI model into their existing systems or applications. This should include clear integration guidelines and example code.

• Data Processing Pipeline

  A robust data processing pipeline that handles data ingestion, cleaning, preprocessing, and feature engineering. This ensures the client can continue to use the model with new data in the future.