Enlite

💡Inspiration

We were inspired to create this tool to support teachers and empower students. Teachers often use YouTube or other video platforms to teach various subjects, but many lack the time to create worksheets that assess student comprehension of the video content. To address this challenge and make learning more effective, we developed this app to help streamline the process for teachers and enhance learning experiences for students.

⭐What it does

We are developing a web app designed for both students and teachers. Using AI, the app allows teachers to input a video URL, and it automatically generates comprehensive questions based on the content. Teachers can then share these worksheets with their students. After students complete the worksheet, the AI analyzes their responses and generates new questions tailored to their level of understanding, ensuring personalized learning and continuous progress.

⭐How we built it

Throughout our development process, we used Slack for communication and collaboration. To brainstorm and decide on the best ideas, we turned to Miro, where we visualized our concepts and user flow. Once the user flow was finalized, we transitioned to Figma to create the wireframes and high-fidelity prototypes, continuing to communicate and collaborate seamlessly across these platforms.

⭐Challenges we ran into

Throughout the development process, we encountered several challenges. Initially, we created a user flow, but once we moved to wireframes, we realized there were many complexities we hadn’t anticipated. Designing a seamless experience for both teachers and students proved more intricate than expected.

Our original idea was to have AI generate one worksheet based on a video, with the teacher reviewing it before deciding to create a second, personalized worksheet based on the student’s level of understanding. However, this introduced new challenges—managing two separate worksheets for each student became complicated, as teachers would need to keep track of both in an organized way on their dashboard.

Additionally, since the AI evaluates student responses, students would need to type their answers, rather than writing them by hand, further complicating how teachers would generate and distribute the second worksheet while managing all the data. Balancing these elements and ensuring a clear, user-friendly system was one of the most difficult parts of developing the app.

🌠Accomplishments that we're proud of

Despite the challenges we faced, we successfully simplified the user flow and created a high-fidelity prototype. Working together as a diverse team from different backgrounds and countries, we navigated a range of perspectives and ideas. Ultimately, we aligned our vision and pushed forward to bring the prototype to life.

Throughout the process, we remained humble and open to learning, which allowed us to refine the design and create something truly impactful. We’re incredibly proud of what we’ve accomplished, and we’re confident this app will “enlite” the lives of both students and teachers, inspiring better learning experiences for all.

🌠What we learned

Kaz and Abhiya: Throughout this project, we learned how to collaborate effectively with engineers and other designers, despite our diverse backgrounds. We received valuable feedback, which we were able to incorporate into our design, enhancing the overall experience. This was our first time working closely with both front-end and back-end engineers, and we gained a better understanding of how to communicate design ideas in a way that’s easy for engineers to implement.

We also collaborated with another designer, who provided insightful feedback that helped us further refine the design. We’re incredibly proud of our team, and we’re grateful for the opportunity to learn so much over the past two days.

Karen and Tenzin: We enjoyed collaborating with designers and developers. It was awesome that we were able to come up with an idea together virtually. We made significant progress, learned how to use AI, and create designs.

🌟What's next for Enlite

In future development, we aim to enhance student engagement by incorporating more "why" questions into the worksheets. This will encourage deeper thinking and foster better interaction between teachers and students.

Additionally, we plan to introduce a feature that allows teachers to upload pages from physical books. The AI will then generate questions based on those pages, expanding the app's functionality beyond video content and making it even more versatile for classroom use.

Built With

• css
• figma
• html
• javascript
• miro
• openai
• python
• python-package-index
• slack