What's included

• Project Plan and Timeline

  A detailed outline of the project's scope, milestones, and estimated completion dates.

• Custom Deep Learning Model

  A fully developed and tested deep learning model tailored to the client's specific needs and project requirements.

• Source Code and Documentation

  Complete source code of the project with comprehensive documentation explaining the model architecture, code functionality, and instructions for use.

• Web Application (if applicable)

  A fully functional web application integrating the AI model, designed and developed as part of the end-to-end solution (if relevant to the project).

• Deployment Guide

  A step-by-step guide for deploying the AI model and/or web application in the client's environment.

• Performance Reports

  Detailed reports on the model's performance, including accuracy metrics, testing results, and validation data.

• Training Data and Resources (if applicable)

  A dataset used for training the model, along with any other resources or tools utilized during the project

• Technical Support and Maintenance Guide

  Guidelines for maintaining and updating the AI model and web application, along with a predefined period of post-deployment technical support.

• Consultation Sessions

  Scheduled meetings or calls during and after the project for discussing progress, feedback, and any necessary revisions.

• Final Project Presentation

  A comprehensive presentation summarizing the project's outcomes, key features of the AI solution, and future recommendations.