The problem that this solution addresses is the difficulty and complexity students face when applying to colleges. The college application process can be overwhelming, and many students may lack personalized guidance and support. The development of the copilot application aims to offer students a comprehensive and user-friendly tool that provides personalized assistance throughout the application journey. By doing so, the team aims to help students navigate the college application process more successfully, increasing their chances of achieving their academic goals and finding the right college fit.
Summary of project
Our team is developing a copilot application to assist students with their college applications. The copilot will provide personalized guidance and support to help students navigate the complex and often overwhelming process of applying to college. Overall, our goal is to provide a comprehensive and user-friendly tool to help students successfully navigate the college application process and achieve their academic goals.
Scope of project
The project will include the following stages:
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.
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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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
Application Copilot Tasks 3
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Application Copilot Timeline 2
From POC to Phase 1
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