Group Kilo - From AI to BI @CambridgeComputerLab
Group Kilo - From AI to BI  @CambridgeComputerLab
Uploaded March 2026 | Updated September 2026, 21 hours ago
Client - Philip Turon, Cambridgeshire Beekeepers Assocation

Ethan Smith, Leo Vadgama, Matt Occleshaw, Oliver Gibson, Soham Shah, Sophia Chan

Beekeeping is valuable for the environment, an enjoyable activity in many Cambridge colleges, and makes delicious honey. But honeybees in the Cambridge area are at threat from diseases that could be better detected and controlled, if only there were more bee inspectors (BI's)! Your task is to create a mobile application that supports this community, including use of AI to recognise some serious diseases from photos, collects data for bee research, and guides beekeepers to make better use of the tools and support available.
Group Kilo - From AI to BICambridge Ring Hall of Fame Product of the Year AwardGroup Lima - Futures Radar for EducationDesign Projects 2018 - Group Foxtrot - From PDF to practiceComputer Science Course at Cambridge: what it is, why its good and how to make a strong applicationEDSAC 60: Part 2 Doron SwadeHow effective are the anti-stalking features of personal item-tracking devices?The EDSAC Film2024 Wheeler Lecture: Supercharging the Human Mind With AI, Prof Yvonne RogersEDSAC 99: Part 7Cambridge Ring Hall of Fame Better Future Award2015 Wheeler Lecture: Hints and Principles for Computer System Design, Butler Lampson
CambridgeComputerLab |

Group Kilo - From AI to BI

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