Inspiration
GraingeSeek was inspired by The Home Depot's Magic Apron. We wanted that find the right part, fast experience for industrial products, so users can search, compare side-by-side, and build quote lists in one place.
What it does
Our product helps you quickly search Grainger products. At the same time, a small AI chatbot can help you find and compare products based on your prompts.
How we built it
We stuck to basic HTML, CSS, JavaScript, and Python scripts because we believe that’s where the essence of web dev lies. Fancy frameworks were avoided considering the time constraints.
Challenges we ran into
We couldn't get server prompts and user prompts to be sent directly into the Gemini API. On top of that, getting Gemini's results to successfully pull data from our CSV-converted JSON was a major roadblock.
Accomplishments that we're proud of
Getting our website to successfully interact with Gemini and send prompts to it was our biggest accomplishment. The Grainger product dataset we found on Kaggle also helped us immensely.
What we learned
We learnt that solutions to certain problems only come when all team members brainstorm at the same time. We also learnt how to build a chatbot from scratch using AI API keys.
What's next for GraingeSeek
We want to turn the GraingeSeek chatbot into a full-fledged AI agent that automatically shows product comparisons and suggests the better product for the user.
Built With
- css
- html5
- javascript
- kaggle
- python
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