01
Find the leak
What gets wasted, damaged, delayed, or made unsafe when nobody notices?
A field guide for picking a final-year project
Ideas that earn their place in the real world.
A curated shelf of AI + IoT concepts built around a specific loss, risk, or frustrating task — not just another sensor dashboard.
26focused concepts
7problem spaces
3featured picks
FEEDBACK LOOP / 01
FIELD-TESTABLE · LOW-COST PROTOTYPES
01 / THE LENS
Good projects start with a failure worth preventing.
Every card is framed around a real user and a decision your prototype can improve. Use the three checks below before falling in love with a technology.
02
Close the loop
Sense the condition, make a recommendation, then take a small useful action.
03
Test in public
Pick a context you can observe: a lab, shop, street, farm, or university building.
02 / THE PROJECT SHELF
Find your team’s starting point.
Filter by the world you want to improve. Save the few that make you curious, then compare them with your constraints.
26 ideas in view All fields
03 / MAKE IT YOURS
The best idea is the one your team can actually validate.
Shortlist a few concepts, then pressure-test them against access to hardware, data, users, and a place to test. A smaller scope with a real user beats a grand promise every time.
01Can we reach the user?
Talk to the person who experiences the problem before building.
02Can we recreate the failure?
Build a safe test rig instead of waiting for a disaster.
03Can we measure improvement?
Choose one metric: time, waste, accuracy, energy, or response.