Inspiration
The power of ai to improve daily tasks.
What it does
Interact with gemini ai api.
How we built it
With python fast api and uvicorn for the backend and next combined with react framework for the frontend. Deployed to gke and docker images for the host and deployment automation.
Challenges we ran into
The time to build the project.
Accomplishments that we're proud of
The time record to complete the main task as to connect to the gemini api and receive response using docker.
What we learned
Connect the app with google cloud and run the automate the backend and frontend deployment.
What's next for Boutique Agents on GKE
Improve the interface and support more AI apis.
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