Inspiration

I was inspired to create this application after observing challenges in B2B Sales with computer vision while working at a Fortune 25 company. I observed fear, uncertainty, and doubt with regard to Privacy/IP, data security, product vision, delivery implementation, and sourcing from abroad. This platform will disrupt that space and enable large entities to innovate.

What it does

Via user prompt, the application understands what the enterprise problem is. With that understanding, GAN creates representative imagery. Users iterate on this process to present pictures to stakeholders without compromising privacy, IP, or security. With these images, buyers communicate need and suppliers assess risk.

Additionally, via Q&A, the application queries summarizing information about upcoming installations. That information is transformed into short paragraphs. Those paragraphs are used for cross-functional collaboration. New project members query the application to quickly ascertain details to confirm their understanding.

How we built it

The platform was built using AI, Colabs, Python, Chat, GAN, APIs, and Computer Vision

Challenges we ran into

This project is a natural fit for Featureform but I couldn't figure out how to run their plugin in Colabs

Accomplishments that we're proud of

I am super proud to exit this weekend with collateral to leverage during capital discussions

What we learned

I learned that traditional ML techniques are quickly fading. I also learned I need a backend engineer :) .

What's next for onbelai

We aim to take meetings this summer to raise capital

Built With

  • ai
  • apis
  • chat
  • computervision
  • openai
  • python
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