Inspiration
Got some inspiration from Ali Abdaal retrospective timetable where we colour code our weak subjects manually. Seems a little manual, hence we want to automate it through software. After that we did some survey market research and realised the problem do exist. In 2 notable surveys we did, a PhD Cambridge mathematic student and NTU Singapore electrical engineering undergraduate mentioned the problem can be tricky and our proposed solution is good.
What it does
- Rank Subjects by Confidence: Automatically rank subjects based on your self-assessed confidence levels, allowing you to focus on areas that need the most attention.
- Interleaved Learning: Implement interleaved learning strategies to mix topics and improve retention, especially for subjects where you need more practice.
- Revision Reminders: Receive timely reminders for revision sessions to ensure you stay on track and reinforce your learning.
- Gamification: Engage with the platform through gamified elements like streak counts and achievement badges, making learning more fun and motivating.
How we built it
Next.js, Tailwind CSS, React, JavaScript, Firebase
Challenges we ran into
One of the significant challenges we encountered during the development process was crafting the confidence level algorithm. Determining a reliable method to assess and rank subjects based on user's self-assessed confidence levels required careful consideration and testing. We had to explore various approaches and iterate on our algorithms to ensure accuracy and effectiveness.
Accomplishments that we're proud of
Despite the challenges we faced, we successfully developed and implemented the confidence level algorithm. This accomplishment was pivotal as it forms the core functionality of our platform, enabling users to prioritize their study efforts effectively. Additionally, we're proud of the engagement and support we received from students during the development phase. Their valuable feedback and idea validation have been instrumental in shaping Spacey into a more user-friendly and impactful tool.
What we learned
Throughout the development journey, we gained valuable insights into the importance of design thinking. By incorporating design thinking principles into our process, we were able to refine and enhance our idea iteratively. This approach not only helped us address challenges more effectively but also allowed us to create a more user-centered and intuitive solution. Moving forward, we recognize the significance of ongoing refinement and user feedback in the evolution of Spacey.
What's next for Spacey
Looking ahead, if we emerge victorious in the hackathon, our next step would be to transition from prototype to a fully functional platform ready for launch. We envision Spacey as a tool that can make a meaningful impact on society by empowering individuals to take control of their learning journey. With the necessary resources and support, we aim to further develop and scale Spacey, ensuring its accessibility to a wider audience and maximizing its potential to facilitate effective learning and knowledge retention.
Built With
- auth
- css3
- firebase
- html
- javascript
- next
- react
- tailwind
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