What's included

• Project Scope and Blueprint

  Detailed documentation outlining the scope of the project, including features, functionalities, and user journeys. Architectural diagrams showcasing the event-driven microservices structure.

• Full-Stack Development

  Front-end: Fully functional user interfaces developed with Vue.js, Nuxt.js, and TypeScript. Back-end: Robust server-side operations and APIs built with Node.js and Python.

• Containerization Set-Up

  Docker container configurations and files for each microservice. Kubernetes deployment manifests and helm charts for orchestrating container deployments.

• Event-Driven Integration Report

  A breakdown of event-driven components, data flow diagrams, and explanations of how user/system events trigger specific microservices.

• Database Schema & Models

  MongoDB database schema, indices, and data models. Redis caching strategies, keys, and configurations.

• DevOps Pipeline Configuration

  Continuous Integration (CI) and Continuous Deployment (CD) pipelines using Git, GitHub, and other related tools. Infrastructure as Code scripts for automated environment setup and deployments.

• AI Integration Report

  Detailed analysis and documentation of TensorFlow and PyTorch implementations, including models used, training data, results, and potential use cases within the web app.

• NATS Communication Architecture

  A documentation detailing NATS setup, configurations, and communication flow among microservices.

• Version Control & Collaboration

  A structured repository on GitHub, complete with branching strategies, commit logs, and collaboration guidelines.

• Testing and Quality Assurance Report

  Comprehensive report outlining testing strategies, test cases, results, and any identified issues. Details of unit, integration, and user acceptance testing phases.

• User Manual & Documentation

  A detailed user manual explaining the functionalities of the web application. Technical documentation providing insights into the architecture, codebase, and system maintenance.

• Training Materials

  Training modules, videos, or webinars covering the application's usage and any admin functionalities. AI and machine learning model training and refinement guidelines, if applicable.

• Post-Deployment Monitoring & Support Guidelines

  Tools and protocols set up for monitoring the health, performance, and security of the web app. Details on how to address potential issues, updates, or necessary patches.

• Feedback Loop & Iteration Strategy

  Mechanisms for collecting user feedback and procedures for iterative improvements. Recommended schedules for future evaluations, optimizations, and tech-stack updates.