MetaGo was a MetaSwitch Networks "Vacathon" (3-day-long hackathon) project
with the aim of automating canteen transactions.
First, it identified people by comparing them against a database of company directory pictures. Then, it captured the barcodes of the items they took and charged them the approptiate amount.
The hackthon was concluded by our team of 5 preparing a Pitch Deck and presenting our product to the judges. We won the hackathon.
The project has been described in further detail in my Final Placement Report. The codebase for the project can be seen on GitHub.
I researched the efficacy of different machine learning algorithms for
the given dataset
on whether an SMS was spam or not.
All the code (in Python) used for the research can be found on GitHub along with my solutions to excercise questions (in MatLab). I also wrote a report on the project.