COLLECTIFY

Turns live experiences and memories into collectible cards you can buy, share, and own.

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Inspiration

One of the best parts of childhood is collecting cards, the excitement of opening, discovering, and showing off your favorites. We wanted to bring that same feeling into the digital age by turning concert memories into collectible cards that fans can purchase and treasure. Each year over 1.81 trillion photos are taken globally, roughly 5 billion every day. With concerts and live events dominating social feeds, a huge number of those photos capture fleeting but powerful moments between artists and fans. According to Eventbrite, 78 percent of concertgoers post photos within 24 hours of a show. After that, these memories disappear into camera rolls or get buried in social feeds. Meanwhile, the digital collectible market is growing rapidly. The digital trading card game (TCG) market alone was valued at 8 billion dollars in 2024. Gen Z fans in particular are drawn to personalization, digital ownership, and fandom-based collectibles. Fans currently have no simple or creative way to collect, purchase, and showcase their concert memories. We wanted to build a low-friction, community-first way to transform live moments into interactive, collectible artifacts that fans can truly own. That is where Collectify comes in, turning live experiences into lasting, collectible cards.

What it does

Collectify is a web platform that transforms concert photos into digital collectible cards with dynamic statistics and metadata. Users can:

  • Upload concert photos
  • Auto-generate a stylized collectible card with attributes such as artist, song, energy, - crowd size, and rarity
  • Purchase and own collectible concert cards on a marketplace
  • Curate personal collections and showcase their concert experiences
  • Browse and discover cards created by other fans and photographers

It is a combination of creativity, fandom, and digital collecting, designed to make memories ownable.

How we built it

We built Collectify using a modern, scalable stack designed for both AI-driven creativity and smooth web performance Frontend: React and TypeScript for a dynamic, responsive user interface Backend: AWS Lambda for serverless, event-driven processing AI Integration: AWS Bedrock for analyzing image features including lighting, emotion, and crowd density and generating statistics for each card Storage: AWS S3 for photos and card assets Database: DynamoDB for storing user profiles, purchases, and card metadata When a user uploads a concert photo, Bedrock’s image analysis model processes it to extract contextual details. These are combined with user-provided tags including artist, venue, and song to generate the card’s attributes and rarity level, then displayed in a visually stylized card format.

Challenges we ran into

Image analysis in 24 hours: Getting a reliable and visually consistent AI-generated result within the hackathon timeframe was tough. AWS Bedrock configuration: Integrating Bedrock’s model inference with Lambda took significant debugging, especially around authentication and response parsing. Data flow design: We had to streamline how images, metadata, and generated stats flowed between the client and backend without latency.

Accomplishments that we're proud of

Image analysis in 24 hours was difficult because we needed reliable and consistent AI-generated attributes under time constraints AWS Bedrock integration required debugging for authentication and response formatting Designing the marketplace flow required attention to data flow and user experience to make purchasing seamless

What we learned

We learned a lot from this project: How to leverage AWS Bedrock for practical creative applications beyond traditional data analysis. Gaining deeper insights to creating a full stack web application The importance of data structuring and caching when working with image-heavy applications. How to design a product that blends fan culture, AI creativity, and community interaction. The importance of effective teamwork and communication in developing a project with a tight timeline

What's next

We want to expand this idea by Launch artist-specific collections and event-based drops. Integrate user authentication with AWS Cognito for personalized profiles. Build a mobile-friendly version so users can upload concert photos right from their phones. Explore partnerships with artists or fan clubs to create limited-edition official cards. We are excited to continue to develop and improve Collectify so that it makes collecting experiences and memories more accessible

Built With

React, AWS Lambda, AWS Bedrock AI, Java, and TypeScript

Built With

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