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AI Micro-Internship · ~240 min · builder

Ship an app that mashes a real API with AI

Most real products are plumbing: take data from one place, add intelligence, show it usefully. Build and deploy an app that combines a real public API with an LLM — live data in, AI-processed insight out.

Steps

  1. 01Pick a free public API with live data: Open-Meteo (weather), OpenAQ (air), Frankfurter (currency), a cricket score API, or data.gov.in.
  2. 02Design the mashup: what does the AI ADD to the raw data? (e.g. weather → "should I water the plants today?" advice in Marathi; currency → plain-language trend explanation).
  3. 03Build and deploy it (free host). Handle the ugly parts: API failures, rate limits, weird data.
  4. 04Push code to a public repo and document one case where the AI’s output was wrong or unhelpful, and how you constrained it.

Tools: A free public API, A free LLM API (Gemini free tier), GitHub + a free host

Your submission

Submit the live URL, repo, what the AI adds beyond the raw data, and the failure case you handled. We’ll use the app.