Data Science Retreat Demo Day #29

Data Science Retreat presents 6 Machine Learning prototypes and projects by Batch 29 participants.

SCHEDULE

6:00 PM
Introduction – Jose

6:10 PM
Q&A ENGINE FOR HEALTH CARE
Project by: Sina Rampe, Maryam Faramarzi & Manali Manjarekar
The project aims to build a Q&A engine that gives a detailed answer to simple health questions – questions like those asked every day in primary care.

6:30 PM
REMOVE REVERB FROM SOUND
Project by - Jakob Löber & Oskar Klaja
The project aims at removing reverb (reverberation and echoes) from sound by using machine learning.

6:50 PM
APPLYING DATA-SCIENCE TO TELECOMMUNICATION NETWORKS
Project by - Karim Hussami & Naveen Korra
The project aims to explore the available traffic data to predict/detect network anomalies (such as congestion events and cybersecurity attacks).

7:10 PM
FINDING THE BEST PLACE TO DO A PHD IN GERMANY
Project by - Ivelina Zaharieva
The project aims at a web application, that will allow to compare the places where one can do a PhD based on information about PhD theses that are finished earlier. Several search platforms to look for a PhD position already exists, but they focus on the open position and do not provide information about the outcome of the other PhDs already completed in the same group.

7:25 PM
How-to’s answered by AI
Project by - Asís Ybarra
The project aims at exploring the process and implications of having an “AI” (aka deep neural network) creating YouTube tutorials on how to reproduce key human cultural heritage being the AI a tool in itself that since its inception aimed at mimicking human behaviour and intelligence.

7:40 PM
CONVERSATIONAL AGENT FOR LANGUAGE LEARNING
Project by - Aloïs Villa & Frank Schlosser
The project aims to develop a conversational agent (CA), which will allow students to practice their English language speaking and listening skills in a dynamic, natural setting, enhancing classical textbook study.

8:00 PM
Wrap up