Inspiration
For the past years the supermarket experience has remained stagnant even though technology has advanced in several fields. Thus, we hope to improve customer and administrative experiences.
What it does
For admins
Provides useful information to better manage resources and come up with strategies that can boost their business and revenue.
For users
Improves experience, from making a shopping list, building recipe ideas, to going into the supermarket, where you can ask about the products or similar items, be guided to each product and go to the cashier with the least estimated waiting time.
How we built it
For this solution we implemented several state-of-the-art technologies, using computer vision and llms and provided a user interface through a progressive web app.
Challenges we ran into
- Pipeline for production of llms
- Using AR in PWA
- Streaming video of multiple cameras through an API and analyzing other features
Accomplishments that we're proud of
Integration of all components for a working demo, including admin dashboard, user dashboard and computer vision algorithms.
What we learned
We learned to use different tools and how to use them to build a solution. We also used some new technologies for the first time such as progressive web apps, openvino, and the use of a phone's orientation, location and camera for use in react.
What's next for RBRGS - Softtek
Enhance recommendation tools to improve user experience and develop native apps for both android and ios devices. Our final goal is for all supermarkets to use our technologies and revolutionize shopping experience.
Built With
- docker
- fastapi
- frida
- googleoauth
- next.js
- nextauth
- node.js
- oauth0
- openai
- opencv
- openvino
- postgresql
- prisma
- pwa
- python
- react
- spectral-clustering
- tailwind
- torch
- trpc
- typescript
- uvicorn
- vercel
- yolo
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