Inspiration
In today’s digital world, information is constantly being lost, for instance, files get deleted, platforms shut down, and personal stories fade over time. We were inspired by the idea that while objects exist all around us, the meaning behind them, such as the memories, people, and stories, often disappears. We wanted to create a system that not only identifies objects, but preserves and connects the human experiences tied to them in a permanent, living archive.
What it does
The Archive is an ever-growing database of culture, preserving history across generations. This platform is a real-time, camera-based platform that allows users to scan objects and instantly access layered information, including historical context, community-contributed stories, and personal connections. Users can contribute their own memories, build private family-based archives, and choose to share stories globally or within trusted networks. Over time, the platform grows into a dynamic, permanent database where objects are no longer just things—they become gateways to human history and experience.
How we built it
We iterated on several design ideas before building the platform using the AI-powered Lovable development platform for the front end and integrating the Gemini 2.5 API into our database. These tools allowed us to create a scalable, dynamic product that would have been difficult with traditional development alone.
Challenges we ran into
One of the main challenges was ensuring that the platform felt real-time while working with API limits and asynchronous AI responses. We also faced difficulties designing a clean and intuitive interface that could handle multiple layers of information (global data, personal archives, and family connections) without overwhelming the user. Additionally, integrating different systems—authentication, database structure, AI APIs, and front-end interactions—required careful planning to ensure everything worked seamlessly together.
Accomplishments that we're proud of
This hackathon taught us the value of brainstorming detailed ideas and collaborating as a team. Clear planning allowed us to create high-quality prompts for Lovable to help with the front end and user experience, maximizing the effectiveness of AI tools in development.
What we learned
We learned how to incorporate the lovable generated front end with the python backend. This teaches us to have control over how our platform runs and what our platform’s capabilities are with an immersive user experience and design. We also learned how to better incorporate API keys for AI functions and when to use which one depending on the case.
What's next for The Archive
Next, we plan to adapt The Archive for broader, real-world applications by shifting focus from individual family trees to large-scale community and organizational use. We aim to partner with museums, cities, and cultural institutions to help them build interactive, permanent historical archives tied to real-world objects and locations. Additionally, the platform can be expanded into immersive virtual tour experiences, allowing users to explore exhibits and spaces through real-time storytelling and layered historical context.
Built With
- api
- css
- google-2.5-gemini-flash
- javascript
- lovable
- python
- typescript
Log in or sign up for Devpost to join the conversation.