Athlete & Coach Performance ManagementPurpose
1.2. Automate extraction of performance metrics, technical breakdowns, and highlights directly from video content.
1.3. Automating the dissemination of analyzed content and actionable insights, accelerating improvement cycles and feedback loops.
1.4. Automator connects varied platforms — cloud storage, AI video analysis, reporting tools, and output channels — to minimize manual operations.
Trigger Conditions
2.2. Conditional automation on video files tagged with specific match metadata (e.g. event, date, participant).
2.3. Automate processing when selected via a web portal, email command, or mobile submission form.
Platform Variants
• Feature/Setting: Watch Files; configure folder automation to detect new video uploads for automatic analysis.
3.2. Dropbox
• Feature/Setting: File Request and folder monitoring API; automate incoming match video ingestion.
3.3. AWS S3
• Feature/Setting: S3 Event Notifications; automatedly trigger analysis on object create events.
3.4. Microsoft OneDrive
• Feature/Setting: Webhook Notifications; automate detection and processing on file addition.
3.5. IBM Watson Visual Recognition
• Feature/Setting: /v4/analyze endpoint; automate technical move identification and match moments extraction from wrestling videos.
3.6. Google Cloud Video Intelligence API
• Feature/Setting: annotateVideo API; automatedly extract labels, scenes, and activity timelines.
3.7. Azure Video Indexer
• Feature/Setting: Upload and Get Insights; automate full match indexing and insights retrieval.
3.8. OpenAI Whisper
• Feature/Setting: Speech-to-Text API; automating generation of coach-athlete communications from commentary.
3.9. Deepgram
• Feature/Setting: Live/Pre-recorded Transcription; automate post-match review material creation.
3.10. Tableau
• Feature/Setting: API for Data Upload; automate performance dashboard updates with new video analysis data.
3.11. Power BI
• Feature/Setting: Push Dataset API; automate refreshed athlete performance metrics visualization.
3.12. Google Data Studio
• Feature/Setting: Data Connectors; automate sharing of wrestling analytics to stakeholders.
3.13. Slack
• Feature/Setting: Incoming Webhooks; automate report delivery to team channels.
3.14. Microsoft Teams
• Feature/Setting: Adaptive Cards via API; automate sharing of analysis snapshots inside coaching groups.
3.15. Gmail
• Feature/Setting: SMTP/API integration; automate direct emailing of individual athlete reports.
3.16. SendGrid
• Feature/Setting: Mail Send API; automating mass results sharing with custom messaging.
3.17. Twilio SMS
• Feature/Setting: Programmable Messaging API; automate text alerts for new analysis availability.
3.18. YouTube (Private Channel)
• Feature/Setting: YouTube Data API v3; automate private upload of annotated match highlights.
3.19. Vimeo
• Feature/Setting: Upload and Share API; automate controlled sharing of analysis videos.
3.20. Monday.com
• Feature/Setting: Items and Boards API; automate match analysis task assignment to coaching staff.
3.21. Trello
• Feature/Setting: Card creation API; automate workflow from video review to actionable tasks.
3.22. Zapier
• Feature/Setting: Multi-step workflows; automate connection of all tools end-to-end without custom code.
3.23. Notion
• Feature/Setting: Database API; automate updating athlete profiles with analyzed performance videos.
Benefits
4.2. Automator minimizes error-prone manual intervention and increases consistency in data extraction.
4.3. Automation enhances strategic feedback for performance management at scale.
4.4. Automatable sharing workflows ensure sensitive match data stays secure, with access tailored to each recipient.
4.5. Automatedly accelerates coaching cycles and supports continuous athletic improvement.