EdPlus AI Project Hub

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Project Planning AI

Business problem we are solving for

The problem that this tool addresses is the time-consuming and effort-intensive process of building project plan documents. Without automation, creating project plans can be a laborious task that requires significant resources. The tool aims to alleviate this burden by using machine learning techniques to generate project plans that are customized to meet the specific needs of each project, thus saving time and effort in the planning phase.

Summary of project

This tool automates the building of project plan documents, saving precious time and effort in the planning process. It uses machine learning techniques to generate comprehensive project plans tailored to your specific needs.


Primary Features:

Scope of project

The project will include the following stages:
Requirements Gathering
Conduct comprehensive discussions with ASUO stakeholders to identify specific requirements, brand guidelines, and content creation challenges.
Document the identified requirements and establish clear objectives for the project.
Data Aggregation and Preprocessing
Collect and curate a suitable dataset of ASUO-related content to train the AI models.
Model Development
Train and fine-tune AI models using NLP techniques to enable content generation and rewriting capabilities.
Continuously evaluate and refine the models to ensure their performance aligns with ASUO's expectations.
Integrate the AI content generation tool with ASUO's existing content management systems or platforms.
Testing and Evaluation:
Conduct thorough testing and quality assurance to ensure seamless integration and functionality.
Deployment and Monitoring
Deploy the tool in ASUO's environment, ensuring proper configuration and compatibility.
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Resources/teams involved

Project Manager: Responsible for overall project coordination, communication, and timeline adherence.
Product Owner: A project stakeholder who will act as the voice of the user and make decisions about the product direction.
AI/ML Engineers: To build, train, and test the AI models.
Data Engineers/Analysts: To handle data aggregation, cleaning, and preprocessing.
Software Developers: For system integration, API management, and front-end interaction.
QA & UX Research: To conduct rigorous testing on the results of the AI models

Project Planning AI Doc Tasks 2
Project step
Start Date
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Project Planning Timeline 3

Additional Considerations

Next Steps

From POC to Phase 1

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