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About

Who We Are

We are a group of passionate Business Technology students from the University of Miami who saw an opportunity to make a difference. As students ourselves, we understand how challenging the job search process can be, especially in today’s competitive market. That's why we came together to create a platform that empowers graduating students with cutting-edge AI tools designed to make job seeking smarter, faster, and more effective. Our mission is simple: to help our peers confidently navigate the transition from college to career and land the opportunities they deserve.

The greatest benefit of engaging in FutureReady AI courses and resources, is that students can walk away with a better understanding of generative AI that they can take with them forever. The lessons they learn through our sessions can be applied and reused by students in the future. We also predict that with the evolution of AI, the assistance it will bring to students will continue to flourish and the possibilities are endless. 

Our AI Tools

We use a variety of AI tools to assist you and maximize your job-seeking experience. Below are the tools our team currently works with when meeting with clients. 

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Copilot
Luana Slevin

Copilot is a tool that allows users to receive suggestions on how to revamp their resumes, as well as ask AI agents to help prepare them for interviews and with brainstorming a career that is right for them. 

Watch a tutorial on Copilot here!

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Canva AI Magic Media Studio  Arina Krylova

Canva AI can create useful content for students looking to network online, such as LinkedIn.

Watch a tutorial on Canva AI here!

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Career Flow.AI
Catherine Bremer

CareerFlow.AI is a platform that uses AI to make career-matching, resume enhancement, and planning more effective.

 

 

Watch a tutorial on CareerFlow AI here!

Notebook LM
Julia Illanes

Notebook LM can help FutureReady AI's clients by simplifying access to personalized career resources, offering tailored summaries of resume tips, interview strategies, and course recommendations based on each user's needs. 

Watch a tutorial on Notebook LM here!

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