Paris trip advisor 1909: Difference between revisions
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[[File:Guide_des_plaisirs_à_Paris_bpt6k124915s.JPEG |300px|right|thumb|Guide des plaisirs à Paris]] | [[File:Guide_des_plaisirs_à_Paris_bpt6k124915s.JPEG |300px|right|thumb|Guide des plaisirs à Paris]] | ||
The project intends to recreate the cultural geography of Paris in the Belle Époque, immersing a user into the world of cabarets, balls, theatres, the universe described by Zola and Proust, and painted by Renoir and Toulouse-Lautrec. In order to give a new perspective on how this legendary world was actually structured and perceived, we are going to digitize the authentic | The project intends to recreate the cultural geography of Paris in the Belle Époque, immersing a user into the world of cabarets, balls, theatres, the universe described by Zola and Proust, and painted by Renoir and Toulouse-Lautrec. In order to give a new perspective on how this legendary world was actually structured and perceived, we are going to digitize the authentic [https://bibliotheques-specialisees.paris.fr/ark:/73873/pf0000856497/v0001.simple.selectedTab=record Plan des plaisirs et attractions de Paris] created in 1909 and augment it with the pieces of evidence and descriptions from the [https://gallica.bnf.fr/ark:/12148/bpt6k124915s Guide dés plaisirs à Paris]: timetables, advice and guidance on what to wear, what to say, and where to go. | ||
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* [http://www.cpa-bastille91.com/cpa/le-paris-de-1900/ Cartes postales anciennes] | * [http://www.cpa-bastille91.com/cpa/le-paris-de-1900/ Cartes postales anciennes] | ||
==Solution== | ==Solution== | ||
Implementing a website with a database using Python, Django, and PostgreSQL to: | Implementing a website with a database using Python, Django, and PostgreSQL to: | ||
* Entering | * Entering the data manually to store in database | ||
* Exploring map UI and use services | * Exploring map UI and use services | ||
| Line 59: | Line 57: | ||
**Design and implementation of the database in SQL | **Design and implementation of the database in SQL | ||
**Deploying the first version of the web application: the website will be deployed on a public URL and team members will have access to input extracted information to the database. | **Deploying the first version of the web application: the website will be deployed on a public URL and team members will have access to input extracted information to the database. | ||
*Extracting | *Extracting the rest of the data | ||
*Adding new data to the app database | *Adding new data to the app database | ||
* Making the improvement of the map | * Making the improvement of the map | ||
Latest revision as of 21:17, 13 November 2018
The project intends to recreate the cultural geography of Paris in the Belle Époque, immersing a user into the world of cabarets, balls, theatres, the universe described by Zola and Proust, and painted by Renoir and Toulouse-Lautrec. In order to give a new perspective on how this legendary world was actually structured and perceived, we are going to digitize the authentic Plan des plaisirs et attractions de Paris created in 1909 and augment it with the pieces of evidence and descriptions from the Guide dés plaisirs à Paris: timetables, advice and guidance on what to wear, what to say, and where to go.
Ideas
- Mapping places on the map to their information on guide:
- Show pages containing the name of the place
- Adding more information about places
- Giving a general view about attractions in Paris in 1909:
- Show restaurants, bars, theaters in different groups to see the distribution of them.
- Show information about opening hours and prices
- Mapping narrative of guide to route on the map.
- Show routes and walking tours
Resources
Principal Resources
Additional Resources
Solution
Implementing a website with a database using Python, Django, and PostgreSQL to:
- Entering the data manually to store in database
- Exploring map UI and use services
Project Plan and Milestones
Milestone 1: Concept (up to 4 Nov)
- First brainstorming and first sketch of ideas
- Exploring the map and the sources
- Developing the overall concept of the project
Milestone 2: Data extraction (9 Nov)
- Selecting the types of data to be extracted
- 20% of the data extracted and annotated
- Verifying the data quality
- Searching for missing data and additional data (e.g. posters and photos)
- Scheduling and drawing up the project plan
Milestone 3: Design and Data Processing (14 Nov)
- Designing the prototype on paper (wireframes)
- Selecting the features of the application
- Searching for the best technical way to show clickable points corresponding to the places on the map
- Preparing the midterm presentation
Milestone 4: Database implementation (28 Nov)
- Developing a web app for entering the data:
- Initialization of Django application
- Design and implementation of the database in SQL
- Deploying the first version of the web application: the website will be deployed on a public URL and team members will have access to input extracted information to the database.
- Extracting the rest of the data
- Adding new data to the app database
- Making the improvement of the map
Milestone 5: Development of the platform (14 Dec)
- Designing the entry story
- Implementing the services of the app:
- Displaying the map and the project description
- Implementing the UI to explore the map and the places
- Adding search and filter functionalities
- Displaying the annotation of each place
- Displaying additional data and tutorial pop-ups
- Adding the recommendations page
- Refactoring the github repository to submit
Milestone 6: Presenting the Results (19 Dec)
- Preparing the final presentation
- Writing the report
- Deploying the final version of the web application for public usage
Team
- Alina, Maryam, and Paola