Project Name

Table of Contents

1. Introduction
2. Dependencies
3. Features
4. Technologies Used
5. Installation
6. Usage
7. iOS App
8. Machine Learning App
9. API
10. Web App
    • Back-end
    • Front-end
11. Web 3 Project
12. Tests
13. Containerization
14. Continuous Integration/Continuous Deployment (CI/CD)
15. Monitoring
16. Kubernetes
17. Contributing
18. Credits
19. License

Introduction

(Description of your project)

Dependencies

pip install -r requirements.txt

Features

(List of your project's features)

Technologies Used

(List of technologies/software/libraries used in your project)

Installation

(Installation instructions)

Usage

(Usage instructions)

iOS App

(Details of the iOS app, including screenshots, specificities etc.)

Machine Learning App

(Details of the Machine Learning app, including algorithms used, data requirements, results, etc.)

API

(Details about the API, including endpoints, request/response examples, etc.)

Web App

Back-end

(Details of the Web app's back-end, including architecture, etc.)

Front-end

(Details of the Web app's front-end, including architecture, specificities etc.)

Web 3 Project

(Details of the Web 3 project, including blockchain technologies used, smart contracts, etc.)

Tests

(Instructions to run tests on your project)

Containerization

(Details about how your project can be containerized, which Docker images are used, how to build them, etc.)

Continuous Integration/Continuous Deployment (CI/CD)

(Details about the CI/CD pipeline, including how code changes are automatically tested and deployed)

Monitoring

(Details about how your project is monitored, including which tools are used, what metrics are collected, etc.)

Kubernetes

(Details about how your project can be deployed on a Kubernetes cluster, including required resources, services, volumes, etc.)

Contributing

(How others can contribute to your project)

Credits

(Acknowledgements and references)

License

(License details)

ML_Project_Init