
When this happens...
New Event
Event Canceled
Rescheduled Event

Automatically do this!
Compute CLIP Similarity
Create Classification Prediction
Run Instance Segmentation
Detect Objects in Image
When this happensTriggers
A trigger is an event that starts a workflow.
Trigger when new event is created
Trigger when an event is canceled
Trigger when an event is rescheduled.
Action is the task that follows automatically within your Savvycal integrations.
Get existing account user details
Get a list of your events scheduled via SavvyCal.
Get a list of scheduling links.
Get a list of all canonical zones in the time zone database.
Compute how closely an image matches a text prompt using Roboflow's CLIP model.
Generate class predictions for an image.

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To start, connect both your Savvycal and Roboflow accounts to viaSocket. Once connected, you can set up a workflow where an event in Savvycal triggers actions in Roboflow (or vice versa).
Absolutely. You can customize how Savvycal data is recorded in Roboflow. This includes choosing which data fields go into which fields of Roboflow, setting up custom formats, and filtering out unwanted information.
The data sync between Savvycal and Roboflow typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Savvycal and Roboflow. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Savvycal is a scheduling tool designed to make it easy for users to find mutually agreeable times for meetings. It offers a user-friendly interface and integrates with various calendar systems to streamline the scheduling process.
Learn MoreRoboflow is a leading platform for computer vision and AI model development, offering tools to streamline the process of building, training, and deploying machine learning models.
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