Andrej Bencic

Tx Flow allows Ethereum developers to easily see the whole execution flow for a given transaction.

As Smart Contracts are getting more complex, we are slowly losing visibility of what is actually happening within a single transaction. This is especially true when a Smart Contract interacts with other Smart Contracts.

Tx Flow is what a debugger would look like if all of it had to fit on a single page. The execution is laid out and indented as methods got called, and in turn called other methods, and if you want to explore a specific point in execution, you can simply click on it and all the variables relevant to that line will show up.

We developed a marketplace for small & medium sized enterprises that facilitates their cooperation with bigger companies based on private blockchain technology.

We used Hyperledger Fabric to create a global network that allows smaller businesses to get noticed and work with bigger companies and for those companies to have transparent expectations about the quality of businesses they are working with.

In order to do that, we designed a metric similar to what a Credit Score is to the crediting industry. We call that metric "Business Score" and we extrapolate it from various metrics such as the business's ability to follow schedules, produce value up to specification, financial activity of the business and more.

Tenderly is a public procurement platform built on top of Hyperledger Fabric. The platform is unique because participants keep their anonymity by sending only signatures of their offer, so there is no way to connect them to their offer. When the procurement deadline is reached, the participants reveal their offers for the first time. This solution removes the need for trust in the procurement process which is a huge problem in larger companies and some countries.

With this project, we wanted to help both Alzheimer patients and their caretakers. We did this by making four smart home solutions:
1. Smart medicine box which uses a light sensor to check if the Alzheimer patient took their medicine
2. Bluetooth beacons which we used for triangulating the position of the Alzheimer patient inside their home so they can be reminded to bring their keys when exiting their house, or to notify the caretaker if the patient hasn't moved for a while
3. Alexa push notifications which was used to notify the patient if they forgot their medicine, keys, etc.
4. A powerful notification system that used the Azure cloud AI platform and IoT Hub to notify both the Alzheimer patient and the caretaker via SMS, mobile push notifications and Alexa push notifications

ServiceMap is an internal tool that shows dependencies between microservices. Its value comes out of three features:

1. Inter-service communication can be whitelisted through ServiceMap itself
2. Once inter-service communication is whitelisted the dependency between two services is shown in a GUI
3. If a service goes down, it is instantly reflected in ServiceMap. This is important because just by following inter-service communication failures you can almost instantly see the root cause of an outage

RAF Hackathon is a School of Computing organized an event that lasted 24 hours. Our solution, Spark, won second place in the competition.

A social platform that displays a heatmap of nightlife activity for a city in a given moment. A real-time stream of Twitter and Instagram impressions is processed, extracting time and location data from them. Using these data points a heatmap is generated over a city map indicating most active points of interest. As another dimension to the platform, heatmaps are preserved for previous intervals, so entire nights/days/months can be replayed to show the movement of activity across the town as well as activity patterns correlated to the time of day.