VegeeTales

VegeeTales is a smart, transparent food-tracing system that lets consumers scan a QR code on their produce to instantly see its journey from farm to store.

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Inspiration

My recent focus on improving personal health and eating habits led me to research the nutritional value and potential drawbacks of various foods. A surprising discovery about organic strawberries being sprayed with pesticides labeled as "organic" shook my confidence in the produce I buy. This experience sparked an idea: what if consumers could access the entire lifecycle of a product, from farm or factory to store, right from their phone? This hackathon seemed like the perfect opportunity to develop a proof-of-concept for this idea.

What it does

VegeeTales is a mobile-based solution that uses QR codes on produce packaging or stickers to provide consumers with an engaging and informative summary of the product's journey. By scanning the QR code, users can access a simplified, readable format of the produce's lifecycle, leveraging powerful Large Language Models (LLMs) to condense complex data into easily digestible content.

How we built it

Our team built VegeeTales using a combination of technologies:

  • Flask for web development
  • MongoDB Atlas for cloud database storage
  • Gemini API to harness the capabilities of fast and powerful LLMs
  • AWS for deploying our application

Challenges we ran into

Two significant challenges we faced were:

  • Determining the optimal data storage approach
  • Crafting effective prompts to generate reproducible, organized, and thoughtful responses from the LLM

Accomplishments that we're proud of

We're proud of several achievements:

  • Successfully deploying our web app to production using AWS EC2
  • Utilizing our free .tech domain, vegeetales.tech
  • Creating a functional proof-of-concept that showcases the potential of VegeeTales

What we learned

-Throughout this project, we gained valuable experience in:

  • Integrating multiple technologies to achieve a common goal
  • Working with LLMs to simplify complex data
  • Overcoming challenges related to data storage and prompt engineering

What's next for VegeeTales

In the future, we plan to:

  • Refine our data storage approach to ensure scalability and efficiency
  • Expand our database to include a wider variety of produce and products
  • Enhance the user experience through UI/UX improvements and additional features
  • Explore partnerships with farmers, manufacturers, and retailers to integrate VegeeTales into their supply chains
  • Continuously update and improve our LLM prompts to ensure accurate and informative responses for consumers.
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