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AI Micro-Internship · ~180 min · no-code

Count something real: a 3-day field observation study

Before dashboards, data science was a person with a clipboard. Physically observe and count something real — canteen queue length, vehicles at a crossing, library seats occupied — at fixed intervals over 3+ days, then find the pattern.

Steps

  1. 01Pick something countable you can observe repeatedly, and design the protocol: what exactly counts, at which times, from where.
  2. 02Observe at 3+ fixed time slots per day for 3+ days. Record on the spot, not from memory. Photograph your tally sheet or location once.
  3. 03Enter the data as a CSV and look for patterns: peak times, day differences, anomalies (and their real-world explanations — a holiday, rain).
  4. 04Answer one useful question with it: when should someone come to avoid the queue?

Tools: Your eyes, a notebook or phone, Google Sheets

Your submission

Submit the protocol, your observations as CSV, a photo from your observation spot, and the pattern findings.