AI Micro-Internship · ~180 min · low-code

Design a "best value" score — and stress-test it

Every "Top 10 phones under ₹15k" list hides a formula. Build yours in the open: define a composite value score, apply it to 10 real products with real specs and prices, crown a winner — then stress-test whether your winner survives when the weights change.

Steps

01Pick a category you’d genuinely research (phones, earbuds, laptops, bicycles) and a budget cap.
02Collect real specs + current prices for 10 products into a CSV from real listings.
03Design your score: which factors, how normalised, what weights — and justify each weight in writing.
04Stress-test: change the weights two different reasonable ways. Does the winner change? Report what that says about your metric.

Tools: Real product listings (Flipkart/Amazon/GSMArena), Google Sheets

Your submission

Submit your metric design, the 10-product CSV, the ranked result, and the sensitivity analysis.

Your score: factors, normalisation, weights — and why each weight *The 10 products as CSV: specs, current price, computed score *The ranking and your winner — with the one-line pitch you’d give a buyer *The stress test: two alternate weightings, whether the winner survived, what that means *