Revolutionize Project Planning with AI

Revolutionize Project Planning with AI

Table of Contents

  1. Introduction
  2. The Birth of AI Project Planner
  3. The Front-end Team
    1. Fernando Robbles
    2. Laura Gara
    3. Saki
  4. The Backend Team
    1. Garrett
    2. Gregor
    3. Amy Marie Spears
    4. Javin Wilson
    5. Michael Callahan
  5. Logging in and Getting Started
    1. Demo User or Google Authentication
    2. Homepage and App's Purpose
    3. Viewing a Tutorial or Generating a New Project Plan
  6. Creating a Project Plan
    1. Selecting the Project Type
    2. Choosing Backend and Frontend Technologies
    3. Setting Time Frame and Number of Collaborators
  7. Results Page and Interactive Timeline
    1. Project Title and Summary
    2. Steps to Approach the Project
    3. Features, Interactions, Color Palette, and Logo Generator
    4. Helpful Videos
  8. Editing, Favoriting, and Viewing History
    1. Editing Plan Details
    2. Favoriting Plans and Viewing in Favorite Projects
    3. Viewing Project History and Deleting Projects
  9. The Technology Behind AI Project Planner
    1. Service-oriented Architecture
    2. Frontend Deployment on Vercel
    3. Continuous Integration using CircleCI
    4. Backend Deployment on Heroku
    5. Continuous Integration using CircleCI
    6. Database and Communication with OpenAI API
  10. Choosing Django for the Backend
    1. Scalability and Accommodating Users
    2. Batteries Included Framework
    3. Speeding up Development with Admin Dashboard
  11. Project Management and Collaboration
    1. GitHub Projects and Notion Page
    2. Individual Research and MOB Coding
    3. Leveraging Full Stack Team Communication
  12. Addressing User Traffic and Data
    1. Introducing Caching
    2. Enhancing User Experience
  13. Future Plans and Extensions
    1. Creating Design Files
    2. Collaborating on Projects
  14. Conclusion

AI Project Planner: Simplifying Project Planning for Developers

With the overwhelming nature of starting a new project, it is not uncommon to feel lost and out of ideas. AI Project Planner was created to address this very problem. This article will take You through the Journey of how AI Project Planner came into existence, the teams involved, the features offered, and the technology behind it.

1. Introduction

Starting a new project can be a daunting task, especially for junior developers. AI Project Planner aims to simplify the project planning process by leveraging advanced AI technology to generate comprehensive project plans tailored to the user's chosen project type and preferred technologies.

2. The Birth of AI Project Planner

The idea for AI Project Planner originated from the experience of feeling lost and confused when starting a new project. The founders, Saki, Laura, and Fernando, came up with the idea of creating an app that uses AI to generate project plan ideas, eliminating the need to brainstorm ideas themselves. Thus, AI Project Planner was born.

3. The Front-end Team

The front-end team, consisting of Fernando Robbles, Laura Gara, and Saki, was responsible for creating the user interface of AI Project Planner. Their expertise in frontend development and user experience design ensured a seamless and intuitive user experience.

4. The Backend Team

The backend team, including Garrett, Gregor, Amy Marie Spears, Javin Wilson, and Michael Callahan, played a crucial role in implementing the sophisticated AI algorithms and handling the server-side functionality of AI Project Planner. Their expertise in backend development and AI technology ensured the app's smooth operation.

5. Logging in and Getting Started

To use AI Project Planner, users have the option to log in as a demo user or authenticate using their Google credentials. Once logged in, users are greeted with the homepage that provides a short summary of the app's purpose. They can choose to view a tutorial or generate a new project plan.

6. Creating a Project Plan

Creating a project plan is made simple with AI Project Planner. Users can select the project type and choose the backend and frontend technologies they want to incorporate. They can also set a time frame for the project and specify the number of collaborators.

7. Results Page and Interactive Timeline

Once the project plan is generated, users are presented with a results page that includes the project title, summary, and an interactive timeline. The timeline provides step-by-step instructions on how to approach the project. Additionally, users can access a list of features, interactions, color palette suggestions, a logo generator, and helpful videos Based on the selected technologies.

8. Editing, Favoriting, and Viewing History

AI Project Planner allows users to edit most of the details listed in the project plan. Users also have the option to favorite a plan, which can be viewed later in the favorite projects section. Furthermore, users can view the entire history of projects they have created and delete unwanted projects.

9. The Technology Behind AI Project Planner

AI Project Planner utilizes a service-oriented architecture, with the frontend deployed on Vercel and powered by TypeScript and React.js. Continuous integration is achieved using CircleCI. On the backend, AI Project Planner is deployed on Heroku and powered by Django and Python. Similar to the frontend, continuous integration is handled by CircleCI. The application communicates with the OpenAI API to generate intelligent responses for the frontend.

10. Choosing Django for the Backend

One of the key decisions made by the AI Project Planner team was selecting Django as the framework for the backend. Django was chosen for its scalability, as the team anticipated a large user base. Additionally, Django's "batteries included" framework allowed for faster development, especially with features like the Django Rest Framework for building the API and the admin dashboard.

11. Project Management and Collaboration

Project management was facilitated through the use of GitHub Projects and an in-depth Notion page for planning and organizing tasks. The backend team conducted individual research and collaborated through MOB coding Sessions to leverage their collective knowledge and skills. Regular communication between the frontend and backend teams ensured seamless integration of their code.

12. Addressing User Traffic and Data

An important challenge faced by AI Project Planner is handling large amounts of user traffic and data. To address this, the team plans to introduce caching for saved projects and all projects. This implementation aims to enhance user experience by reducing wait times, especially considering the time it takes to generate a project plan.

13. Future Plans and Extensions

The future of AI Project Planner includes creating design files for the application and enabling users to collaborate on projects by sharing them with one another. The team is excited about the possibilities and looks forward to further enhancing the project planning experience.

14. Conclusion

AI Project Planner is revolutionizing the way developers approach project planning. With its intuitive user interface, comprehensive project plans, and innovative use of AI technology, developers no longer have to feel lost or overwhelmed when starting a new project. Whether you're a junior developer or an experienced programmer, AI Project Planner is here to simplify and streamline the project planning process.

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