We are a team of students from the University of Bern. Our vision for this project is to help all travelers to find the best accommodation for their needs. We want to provide a tool that allows users to explore the data, select the best accommodation for their needs and visualize the data in a way that is easy to understand. Our project is special because we are using the Airbnb dataset, which provides unique insights into the accommodation market. Learn more
Want to contribute to make travelling more awesome? Coming soon...
| ✅ MILESTONE | ✅ DATE | ✅ RELEASE NAME | ✅ FEATURES / TASK | ✅ REASONS | ✅ METRICS / SUCCESS FACTORS |
|---|---|---|---|---|---|
| The reason for creating the new release |
The release date or timeframe |
The name of the release |
The high-level features necessary to meet the goal |
Reasons why this feature is important | The metrics to determine if the goal has been met |
| Traveller learns about listings of AirBnB dataset | May 2 2024 | Release 1: Data manipulation | Give summary statistics on 1. number of listing, 2. price range, 3. availability, 4 ratings | Travellers get overview of listings, so they can start planning their trip. | Traveller gets a correct data summary. Crosschecks with results of other teams. |
| Traveller can search accommodation | May 16 2024 | Release 2: Data selection | Traveller inputs neighbourhood, room type and gets max, min, median costs and related information. | Travellers can search accommodation, so that their personal preferences are met. | Traveller gets correct search results. Crosschecks with results of other teams. |
| Traveller gains an overview about a dynamically selected neighbourhood. | May 23 2024 | Release 3: Data visualisation | Traveller selects dynamically neighbourhood and gets visualisations about the cost, reviews and room types. | Travellers get relevant listing information about their preferred neighbourhoods. | Plots with data are show to the traveller. |
| Create a controlled environment, managing all dependencies | May 30 2024 | Release 4: Virtual env | Dockerize | Travellers can run this program on any machine. | Can be run platform independent. |