The inspiration for DivvyAI came from our personal experience with the stress and panic of tackling a last-minute machine learning assignment. Just this past Friday, we found ourselves rushing to complete the assignments hours before the deadline. Despite knowing the workload ahead, managing our time effectively proved to be a challenge amidst a packed schedule of classes and other commitments. This experience made me realize the need for a tool that not only helps break down assignments into manageable chunks but also intelligently schedules tasks to fit into the small pockets of free time throughout the day. DivvyAI was born from the desire to prevent this kind of last-minute rush and help students stay organized and efficiently complete their assignments stress-free.

With DivvyAI, we hope to solve the last-minute assignment panic that every student knows too well. Our AI-powered tool breaks down large assignments into smaller, manageable tasks and integrates directly with course materials, offering references and resources to keep students on track. DivvyAI optimizes downtime, intelligently scheduling tasks into free moments between classes, meals, or meetings. Key features include automatic task breakdown, smart scheduling that fits assignments into your available time, and course-specific references for personalized guidance. With DivvyAI, students can finish their work ahead of deadlines, stress-free and organized.

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• Next.js
• React.js
• TypeScript
• Pinata
• Supabase
• Google Cloud
• Clerk

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• Integrating voice control to log user progress and automatically update schedules
• Enabling video uploads with transcript summaries relevant to each task
• Expanding task breakdowns to include exams and projects

See the open issues for a full list of proposed features (and known issues).

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Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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Distributed under the MIT License. See LICENSE.txt for more information.

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• Andrew Cheung - andrewcheung360@gmail.com
• Jason Mun - jason.mun484@gmail.com
• James Tu - jamestucontact@gmail.com
• Vicky Wang - vw92@cornell.edu

Project Link: https://github.com/AndrewCheung360/DivvyAI

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