Certainly! Here's a hypothetical response for each section regarding the Akai platform:
Inspiration
Akai is what we envision the future of academia as: data-driven education where students, teachers, and institutions embrace technologies such as chatbots, among others, and use them to their benefit.
Many institutions have banned these technologies in their attempt not to change their ways, but we believe this is a step backward. We believe education should measure where students are and look at who are the people in the classrooms. Akai seeks to bring faces to a faceless system where students and teachers get to know each other more using technology as an intermediate.
In the digital age, while we've made strides in technological advancements, education often remains confined to traditional methods. We were inspired by the idea of melding the wisdom of historical figures with modern AI technology to provide a personalized, enriched learning experience that can adapt to individual needs. At the same time, creating a session-matching algorithm that pairs individuals with similar personalities, learning styles and motivations and measures overall comprehension throughout each session in a way that constantly gives feedback to the teachers.
Teachers are meant to breach the gap in knowledge of his/her students. But current education is a cookie-cutter model that does not consider how students learn best, what motivates them, and who they are as individuals. By developing an AI assistant, we want to enhance and help teachers understand his/her students better and teach from a data-driven approach.
What it does
Akai is a comprehensive, data-driven educational platform that connects educators and students. It integrates AI-powered virtual teachers modeled after renowned historical figures, offers insights into individual learning styles, and provides a dashboard for educators to monitor and adapt their teaching methods. The platform ensures personalized, effective learning while empowering educators with data-driven tools.
How we built it
We leveraged cutting-edge AI algorithms to create responsive avatars of historical figures. Utilizing machine learning principles, these avatars can engage in real-time dialogues and adapt to user interactions. The platform was built using a combination of Python for backend processes, React for the front end, and various data visualization tools to power the educator's dashboard. A cloud-based architecture ensures scalability and accessibility.
Challenges we ran into
Creating AI avatars that could accurately mimic the personalities of historical figures was a significant challenge. Another hurdle was ensuring that the platform could handle a vast number of simultaneous users without compromising on responsiveness. We also faced challenges in accurately categorizing and analyzing the vast amounts of data to provide meaningful insights to educators.
We focused on showing functionality both from the student and teacher perspective.
Accomplishments that we're proud of
Successfully integrating nuanced, responsive AI avatars is an achievement we're particularly proud of. Moreover, the positive feedback from educators about the insights they've gained from the platform has been incredibly rewarding. We're also proud of the platform's scalability and ability to cater to a wide demographic of users.
We created a well-done mockup of the project in Figma. Created dummy data and built a full backend that implements
What we learned
Throughout the development of Akai, we learned the importance of user feedback in refining and optimizing a digital solution. We delved deep into the intricacies of AI and machine learning, gaining insights into creating responsive, adaptable systems. Most importantly, we learned how technology can be harnessed to enrich and transform traditional sectors like education genuinely.
What's next for Akai
Akai is what we envision the future of academia as: data-driven education where students, teachers, and institutions embrace technologies such as chatbots, among others, and use them to their benefit.
Built With
- express.js
- flask
- google-app-engine
- google-cloud-sql
- google-datastore
- javascript
- python
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