Connect Roboflow and Breezy HR to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Roboflow
Choose an Action
Automatically do this!
Create candidate
Ready to use Roboflow and Breezy HR automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Active Position
Trigger when a position in active.
New Candidate
Trigger when a new candidate is created.
Do thisActions
Action is the task that follows automatically within your Roboflow integrations.
Compute CLIP Similarity
Compute how closely an image matches a text prompt using Roboflow's CLIP model.
Create Classification Prediction
Generate class predictions for an image.
Run Instance Segmentation
Create instance segmentation predictions (masks and labels) for a given image.
Detect Objects in Image
Detect objects in an image and return their labels and bounding boxes.
Create candidate
Create a new candidate.
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Frequently Asked Questions
To start, connect both your Roboflow and Breezy HR accounts to viaSocket. Once connected, you can set up a workflow where an event in Roboflow triggers actions in Breezy HR (or vice versa).
Absolutely. You can customize how Roboflow data is recorded in Breezy HR. This includes choosing which data fields go into which fields of Breezy HR, setting up custom formats, and filtering out unwanted information.
The data sync between Roboflow and Breezy HR 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 Roboflow and Breezy HR. 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.
About Roboflow
Roboflow 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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