Projects


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planIt

A modern banking application to promote a sustainable lifestyle.

Raiffeisen – Design Your Dream “Banking” App

Alter consumer behavior to adopt a more sustainable lifestyle by gamifying their spending habits within their online banking application.

METHOD
Provide tips for living a greener lifestyle.
Provide statistics to quantify green spending transactions.
Provide alternative means for customers to support sustainability in South Tyrol with donations.


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Green Alps: Persuasive and Sustainable Mobility

Persuading people in South Tyrol to switch to public or muscle-driven mobility

Main challenge

Motivation: South Tyrol is not excluded from global warming. The climate report “Südtirol 2018” confirms that it is crucial to reduce emissions, created by transport and tourism.

Problem statement: The goal of this project is to propose a timetable information system with route planning, which can suggest to the user alternative, sustainable ways to reach a destination.

Approach: Our approach is self-monitoring (showing one’s own CO2 consumption data), challenges (daily, weekly, and monthly goals), goal setting (setting targets for CO2 saving), social comparison (comparing one’s own performance with others), and personalized suggestions for commuters and tourists. Particularly the last aspect is innovative: the same route is offered in various combinations with different CO2 impacts. Moreover, the user is furthermore persuaded showing money savings when using public or muscle-driven mobility. In addition, the data obtained from monitoring what the user chooses (based on his movements) can be used by other stakeholders for their decision making.

Results: The result of this hackathon is the design and the UI of the features described above. Moreover, the proof of concept contains the necessary code to obtain data from the South Tyrolean Open Data Hub and the Open Street Map. The latter is used to classify the routes on which the user is moving and to predict the CO2 impact.

Conclusions: The developed proof of concept demonstrates that the idea is feasible. To estimate the CO2 impact, a user study is needed to evaluate the acceptance of such tool. We estimate the development effort of the here described tool as 12-person months.


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Immo Agent

No need to find real estate, it finds you! You will hear from Immo Agent soon…

Raiffeisen – Design Your Dream “Banking” App

The Immo Agent cleverly connects data that is already available to Raiffeisen and enriches the classical online banking app with an outstanding solution. Intelligent algorithms help to realize your dream of the perfect real estate and will notify you when a good match is found based on your preferences.

We invested in user experience, which is definitely key for this project. The use cases are well-defined and essential parts of the app are already implemented. We have come this far, rome wasn’t build in one day, and we would love to further develop this core idea and create a unique experience for Raiffeisen customers.


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OffTrack

ski secure, ski best.

Main challenge

In our project we develop a business plan based on ski rent, skipass and insurance.
Our idea uses IDM Open Data Hub and new data collected by sensors around the ski area (e.g. in TechnoAlpin).
Starting from sensors used in ski area and South Tyrol we want to define a KPI used by insurance and ski rent to develop a business around the risk in the ski run.
The ELK architecture deployed using docker swarm provide the fastest solution to develop basic insight on the data. The latter is the starting point to define the desired KPI.


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HikeTheAlps

Stay healthy and preserve the nature in South Tyrol.

Main challenge

Goal: Search new hiking tours and challenge your friends in social media.
Motivation: To bring more people in contact with the beautiful nature of South Tyrol and preserve it.
How you build it: We use https://ionicframework.com/ to create a cross-platform Application and http://tourism.opendatahub.bz.it/ to populate our Application.
Challenges: Transform the idea into a user friendly application.
Outcome: Usable Prototype for Android, which uses real hiking routes data from the IDM opdendatahub.
What’s next: We believe in the idea and would like to find benefactors to further develop it.


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Map the Alps

Map the alps in two days. We approached to rapidly utilize image processing and machine learning to achieve our goals.

TechnoAlpin – Satellite image analysis

Our goal was to create a Tensor flow data model in order to support Techno Alpin in planning of snowmaking systems in the most efficient way.
Such module will be helpful in creation of ski area maps and equipment.

Motivation?
Modern approaches and tools aid at retrieving information from images. Therefore the motivation was to develop an approach and use it to solve the problem statement.

How did you build it?
We used open source libraries(OpenCV, Anaconda, TensorFlow, Google Earth Pro) to chain them into a powerful pipeline.

Callenges:
short time frame, high complexity & missing training data sets.

Outcome:
Unfortunately, the training and implementation of the correct learning function was not possible in the given time frame. We achieved the creation of a module which could identify pictures of artificial lakes (within our collected sample/test and training data).

Whats next?
For further development a more theoretical approach would be good for the start but then we could create good models that can identify some of the objects where focused by the challenge.

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BankCompanion

This mobile application helps you to reach your goals faster and to manage your resources in a more sustainable way

Raiffeisen – Design Your Dream “Banking” App

Our motivations for this project were to increase the usage of the banking app with useful features. Here we used Django to create a prototype, because we are accustomed to the framework.


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Baank.ly 2.0

The natural banking experience

Raiffeisen – Design Your Dream “Banking” App

Our goal was to make something inherently quite a bit annoying for most people, banking, into a pleasurable experience. We paid a lot of attention to the UI and UX.
Building the mountain graph was one of the hardest parts. It’s all based on an HTML5 canvas and drawn line by line.
This is just a prototype showing what we think are the most relevant features, adding usual ones would be pretty trivial.


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DeepSnow

DeepSnow is the first solution to combine AI and satellite images to generate data about ski resorts to minimize the effort to create the deep snow that we love.

TechnoAlpin – Satellite image analysis

The goal of DeepSnow was to determine whether or not is possible to use Machine Learning / AI in combination with satellite images for the detection of infrastructure in ski resorts. Creating and collecting relevant data, like “Where are the lifts? What’s the area of all ski slopes combined?”, etc. is a labor intensive and recurring task, binding human resources that are not available for the actual development of snow-making systems Techno Alpins Core business. As time is limited in a Hackathon we focused and worked on the proof of concept and made it our goal to detect the outline of the ski slopes.
To achieve this goal we build a neural network for image segmentation, that takes a satellite image as an input and outputs the polygon shape of the ski slope in the picture. For usability we designed a React Frontend and a flask Backend. Challenges were the conceptualization of the task, determining what can be done (and what not!) in the course of one Hackathon.
After 2 nights with less than 4 hours of sleep DeepSnow is a running services that proves that the AI revolution does not stop in front of the mountains and that we will see intelligent systems in the operation/management/planning of ski resorts in the near future.

We believe the project has huge potential to become a mature application for TechnoAlpin and is not limited to its original use case as it can be expanded for example to help detect deforestation and flooding.


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RENET Pay Products Points

Pay (for) local products – Get rewards for sustainability

Raiffeisen – Design Your Dream “Banking” App

Goal: To promote the consumption of regional goods while engaging users to respect the environment. Goods are scored by their sustainability, e.g., zero waste.

Motivation: We wanted to combine mobile payment with local support of communities in a gamified solution. Users are offered with an app that allows the payment via NFC in regional stores. Users get rewarded with points when they consume the available products. These points can later be exchanged for discounts. The app also offers a catalogue of the different regional products that are part of the network, which helps promoting the local offer. This catalogue can easily be extended with future providers that want to be part of the network.

What’s Next:
Encourage people to use sustainable transportation like car sharing or public transportation.
Walk/Bike to the store instead of taking the car (GPS / Motion Sensor, Bluetooth Car Detection)
Allow local merchants to register online and join the network with their custom rewards.
More sophisticated scoring for sustainable products (more with data correlation work needed)
SEPA Payment Integration.

How we built it: Brainstorming, Create a Feature Map, Select an MVP Use Case, after that: Coding & Designing all Night & Day
We built a service with a catalogue of products by combining data from the offered Open Data sources. We were working on creating a payment system that enables users to pay via NFC and assigns points to the personal profiles. This functionality has been done accessible to users by an Android app.

Challenges: Stay Focused on MVP, with many Ideas coming up during the development, Open Data Hub Integration, Mobile UI/UX Design, Not Sleeping 😉

Outcome:
Backend service:
Payment endpoint.
Catalogue endpoint. Let the User Discover multiple Categories (provided by Open Data Hub) scored by Sustainable
Accomodation/Gastronomy: Local Food offerings, South Tyrol Kitchen
Events: Supporting Local Networks / Companies
Paylocal Android app.
Android NFC reader (merchant part).
NFC transaction.
User profile with reward points.
Catalogue taxonomy.


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Hacksuedtirol

Control the masses.

Würth Phoenix – Measurement & analysis of connection

Tourism is a main economic factor of the region though in peak hours infrastructure collapses, local people and nature suffer. Load balancing of tourists over all South Tyrol increases the positive experience and quality of a tourists stay. We distribute traffic to all regions of south tyrol which benefits in higher quality of service, enhanced revenue and a more sustainable tourism industry which benefits nature and the society overall. The core outcome is a tourist app, a business app which uses APIs from IDM and WuerthPhoenix.


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South Tyrol Food Chain

A blockchain for the valorization of local products

Raiffeisen – Design Your Dream “Banking” App

Traceability of local products and creation of a local cryptocurrency.


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Mountain Pal

The unified alps navigator for all your mountain needs.

TechnoAlpin – Satellite image analysis

The project aims to enhance ski resort navigation and management. It was motivated by our love of tech, sports, and open source. We approached the project by choosing separate yet related tasks based on our research and area of expertise. We converged our work by having regular check-ins and discussions. Some of challenges we encountered were related to using the WebVR work-in-progress tech, the time constraint, and the route calculation but we overcome it all by working as an efficient team and managing our time. We have created a prototype that we can proudly offer to South Tirol, one providing comprehensive information and guidance both in WebAR and mobile interfacing.


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Zohlarei

simple banking with new ideas

Raiffeisen – Design Your Dream “Banking” App

The goal was to build a banking application as simple as possible with feature we would like to have in our banking apps. One of these is to do app-to-app transactions using NFC. Moreover the app is capable of detecting values on bills payed with cash to include them in your finance overview.


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IoTrees

As Peter Wohlleben would surely like to do, we’ll take internet to the trees.

Main challenge

With a Mesh network based on LoraWan technology, we want to create a reliable system to collect and transmit data in the mountains.
Thanks to that we’ll be able to collect micro-climatic data about the forests and to help track hikers and possibly locate them if they get lost, or gain a usage meter of the various trails to predict where to concentrate the needed maintenance.


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Just another banking app

Creating a sustainable user journey for everyday transactions

Raiffeisen – Design Your Dream “Banking” App

We see problems in todays banking world in terms of losing customer loyalty due to the decreasing necessity of branding your banking application. Opening your APIs to 3rd pardy developers results in a stronger business competition. To be attractive to your customers, a thorough experience has to be built. Creating customer loyalty by gamifying the userinteraction and offering a simple awarding system, we can achieve a stronger customer-bank relationship. Everyday tasks like personal contact to your consultant and a proper contract management with digital signature simplifies the customers interaction and removes impediments.


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Activity Crystal

BUILD SOMETHING
SIMPLE & FUN THAT
GETS PEOPLE’S ASSES
OFF THEIR COUCHES (AND FUELS TOURISM).

Main challenge

Use COBI.Bike DevKit SDK to read realtime and location based data from the bike & mobile phone. Crunch it and motivate the riders to keep on discovering their surrounding by bike.


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Explore South Tyrol

Discover and share cool new places in South Tyrol in a truly immersive way

Main challenge

We had this idea of an app that could help people find cool places in South Tyrol by simply looking around themselves. This would make them feel more connected with the environment, compared to looking at a simple map.

We built an Android app using ARCore, a 3D engine made by Google specifically for augmented reality. The app itself is pretty simple, because we think it would be better suited as an extension of the existing “South Tyrol Guide”, instead of a standalone project.

The app connects to a NodeJS backend which merges data from multiple sources: first of all, the OpenData Hub provided by South Tyrol itself, but also data from an internal Redis server which stores all the “stars” (likes) people can leave when they find a beautiful place and also data from NASA’s SRTM dataset, which is useful to obtain terrain altitude.

We perform most of the work server-side, to calculate the coordinates of the point of interests relative to the user’s location, heading and altitude.

The most challenging part was working with a framework we weren’t familiar with, on a very complex field like 3D graphics and rendering.

We think this idea could have a bright future: with a bit of help from the OpenData Hub team we could build a new dataset of point of interest specific for this kind of visualization, since now we are showing the “Cultural Places” category. As said before, this could also be embedded into the Guide app, as a way to explore the environment in a more immersive way.


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PanePollo

We have developed the prototype of an app which is aimed at replacing the physical wallet with a really smarter digital one.

Raiffeisen – Design Your Dream “Banking” App

We investigated what are the main factors involving banking apps that users care about the most and we found out that ease of use and transparency are the most important ones.

We have then designed the prototype of an app using Adobe Xd and next we have provided an implementation using Android Studio.