Data Science Retreat Demo Day #46

Whether you're a seasoned data scientist, a curious beginner or someone eager to understand the impact of data-driven technologies, this event is tailored for you. Build connections with professionals, experts, and fellow enthusiasts, fostering collaboration and knowledge exchange.

Data Science Retreat presents 7 Machine Learning prototypes and projects by Batch 46 participants. The event is free to attend and thanks to SAP Berlin for hosting us.

Agenda:
17:30 - Doors open, Drinks and Networking
18:00 - Welcome and Intro to SAP and SAP LeanIX
18:20 - Introduction by DSR
18:30 - Project Presentation (4 projects)
19:45 - Short break
20:00 - Project Presentation continues (3 projects)
21:00 - Open for networking
21:30 - Wrap up.

PROJECT IDEAS:

1. AirLiness: Proactive Indoor Air Quality Management and Automated Intervention
Project by: Jose Carlos Garay Fernandez

AirLiness is an intelligent indoor air quality management system that uses machine learning to optimize ventilation and air purification. It analyzes real-time and historical indoor sensor data, outdoor environmental conditions, energy prices, and occupant health information to determine the best intervention strategy. The system proactively maintains healthy indoor air while reducing energy consumption and operating costs. By balancing health, comfort, and efficiency, AirLiness supports smarter and more sustainable building management.

2. The RegI (RegulatoryIntelligence)
Project by: Ting Xiang and Anagha Kannampilly Janardhanan

The RegI (RegulatoryIntelligence) is developing a machine learning system designed to convert complex regulatory and governmental information into clear, actionable steps for businesses. This platform acts as a Communication Intelligence Infrastructure, addressing the challenges of fragmented data and highly specialized language that often force companies to hire external consultants. By transforming dense