AI-Powered Athlete Performance Analysis &

AI-Powered Athlete Performance Analysis & Weekly Reporting System

Project Overview An end-to-end performance tracking and automated intelligence system built in n8n for athletic monitoring. The system ingests training session inputs, evaluates current session metrics against longitudinal historical records via custom OpenAI agents, logs structured insights back to Google Sheets, sends immediate threshold alerts, and dispatches automated weekly performance rollups across Slack and email.

Workflow Breakdown & System Architecture

1. Session Data Ingestion & Context Aggregation

Training Session Form: Captures real-time workout metrics and athlete performance data.

Workflow Configuration & Data Logging: Formats manual inputs and appends/updates raw training session records inside Google Sheets (Store Training Record).

Longitudinal Retrieval: Queries historical database records (Fetch Historical Data) and merges them with current session entries (Combine Current and Historical Data) to give the AI agent full longitudinal context.

2. Performance Analysis Agent & Alert Pipeline

Performance Analysis Agent: Leverages OpenAI models paired with chat memory and custom output parsers (Analysis Output Parser) to interpret trend performance and detect anomalies.

Database Updates: Writes structured AI insights and analysis direct into Google Sheets (Update Record with Insights).

Threshold Evaluation: Evaluates whether session metrics breach pre-configured safety or performance thresholds (Check Performance Threshold).

Real-Time Coaching Alerts: Dispatches immediate notifications via Slack (Send Slack Alert) and Email (Send Email Alert) when an athlete requires coaching attention.

3. Weekly Summary Schedule & Grouping

Automated Cron Trigger: Executes on a scheduled weekly frequency (Weekly Summary Schedule).

Data Extraction & Grouping: Reads weekly records from Google Sheets (Fetch Weekly Data) and runs custom data aggregation to group performance metrics on a per-athlete basis (Group by Athlete).

4. Weekly Summary Agent & Multi-Channel Distribution

Weekly Summary Agent: Processes grouped athlete data through OpenAI models with dedicated output parsers (Summary Output Parser) to generate comprehensive progress overviews.

Automated Multi-Channel Rollout: Delivers finished weekly performance reports directly to coaching staff and team channels via Slack (Send Weekly Summary to Slack) and Email (Send Weekly Summary Email).

Key Tools & Technologies

Workflow Automation Engine: n8n

AI & LLM Services: OpenAI Models (Structured Output Parsers, Chat Memory)

Database & Storage: Google Sheets API

Communication Platforms: Slack Webhooks/API, SMTP / Email Nodes