Tennis Tracker

Logging a session

• Typing /log on Telegram starts a short conversation
• Asks about session type, location, skill ratings (serve, forehand, backhand, volley, footwork, focus, return), energy before and after, mood, discomfort, match result, and free text notes
• About 15 data points per session, all saved to BigQuery

AI coaching, three ways

• After every session, Gemini sends back a short coaching summary based on what was logged
• Every Sunday, a weekly recap covering skill trends, energy patterns, and a plan for the week ahead
• The /insights command pulls a 90 day report on demand, with skill trends, win and loss analysis, and recurring patterns

Asking questions directly

• Free form questions like “what should I focus on this week” or “why have I been losing more matches lately”
• Answers using full session history
• Remembers earlier parts of the conversation, so follow up questions do not need repeated context

Scheduling in plain English

• A message like “schedule match at Titiwangsa tomorrow 7pm against Fara” gets parsed automatically and added to Google Calendar
• The night before, a pre session brief gets sent with focus areas, a quick game plan, notes from the last few sessions, and the weather forecast

The dashboard

• A Telegram Mini App with four tabs
• Overview: session counts, win and loss record, skill radar chart
• Progress: skill trends over time with AI generated notes on what is improving and what needs work
• Matches: win rate by opponent level, head to head records
• Activity: 30 day heatmap of session frequency

Tech stack

Telegramn8nBigQueryGeminiDockerGoogle CalendarPostgreSQL