quill: calm, curated, connected.

quill is your all-in-one digital information assistant on an e-paper screen. Based on the principles of calm-technology, it aims to revive the nostalgia of a simpler time in life - information through periphery.

It's a modular system, allowing users to choose from the following pre-defined modules:

• Cartoons (via The New Yorker)
• Word of the Day (via Merriam-Webster)
• Artworks (via The Maniac Scribbler)
• City Calendar of Events (via Eventbrite)
• News Headlines (via News-Bulletin)

Vision

The entire system is modular & users can choose one or more modules for their display from a set of different faces. Each component on the face is also configurable & allows the user to override 2 configurations:

• Update Frequency (Hourly, Daily or Weekly) or if they want to see this at a particular time (e.g.: 9 AM daily, top-of-the-hour etc.)
• Display Time (Morning, Afternoon, Evening or Night)

High Level Architecture

Hardware

Quill uses a client-server architecture, communicating using MQTT protocol. The client is a lightweight Both client & server can either be packed into a single device, or split into two separate devices based on user preference.

fetches content from the internet & displays it With [RP-2040](https://www.raspberrypi.com/documentation/microcontrollers/rp2040.html) at its core & a vibrant e-ink display, quill aims to revive the nostalgia of the simpler things in life. You can get the latest news, stock market information, quotes & poems, cartoons & what not (you're only limited by your imagination & to some extent the display driver the chip uses).

Designing an intelligent cartoon display system with user preferences involves several components. Here's a high-level overview of the system you might consider:

User Authentication and Preferences:

• Users should be able to create accounts and log in.
• Implement a user preferences section where users can specify their interests, such as politics, sports, or other topics related to cartoons.

Content Curation:

• Gather a diverse set of cartoons from The New Yorker's collection.
• Tag each cartoon with relevant metadata, such as topics (politics, sports, music, etc.).

Recommendation Engine:

• Implement a recommendation engine that suggests cartoons based on the user's preferences.
• Use machine learning algorithms to analyze user behavior and adjust recommendations over time.
• Allow users to rate or provide feedback on cartoons to improve recommendations.

Daily Calendar Feature:

• Display a daily cartoon on the user's dashboard.
• Ensure that the displayed cartoon aligns with the user's preferences.
• Allow users to manually browse cartoons if they want to explore beyond the daily recommendation.

Notification System:

• Implement a notification system to remind users to check the daily cartoon.
• Optionally, allow users to set preferred notification times.

User Interaction:

• Enable users to like, share, or comment on cartoons.
• Provide options for users to adjust their preferences at any time.

Responsive Design:

• Ensure that the system is accessible and user-friendly on various devices, such as desktops, tablets, and smartphones.

Analytics and Reporting:

• Implement tracking mechanisms to gather data on user interactions and preferences.
• Use analytics to continuously improve the recommendation engine and overall user experience.

Collaboration with The New Yorker:

• Establish a collaboration or licensing agreement with The New Yorker to ensure the legal use of their cartoons in your system.