36 lines
1.7 KiB
Markdown
36 lines
1.7 KiB
Markdown
The purpose of this document is to align on the initial design of Reply-O-Meter. Everything here is very early and likely to change.
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## Overview
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The following is a product-oriented view of all the stages that need to happen in the final V1 product:
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*Data Ingestions*
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Input: raw photos
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Output: List of Artifacts that link the raw photo with a textual representation
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1. Ingest all of the raw data files. Photos of letters, postcards, and photos.
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2. Digitization: conversation of the data to a textual representation.
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*Data Normalization*
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Input: List of Artifacts
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Output: Graph of Entities (Person, Location, and Event)
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1. Metadata: extract the Metadata on the Entities that each Artifact refers to, such as Person, Event, and Location
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2. Normalization: translation of all material to one internal language (e.g. English)
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3. Artifacts: creating Artifacts from joint raw material. Example: photos of person and the name/time from the photo's backside.
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4. Reconciliation: Create and/or Update existing Entities based on the information from the new Artifacts.
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*Browser*
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Input: Graph of Entities
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Output: Updates to Artifacts and/or Entities
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1. Feedback: User may correct any of the Ingestion or Processing steps, which will retrigger the rest of the flow.
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2. Tuning: Will trigger model training/tuning if relevant.
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*Story Creator*
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Input: Graph of Entities
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Output: Story
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1. Chat Agent: User can chat with an Author to create stories based on the known Entities.
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*Graphic Artist*
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Input: Story, Graph of Entities
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Output: Graphic Novel
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1. People: Given a style, create visual representation for each Person across their life.
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2. Supporting Material: Gather maps of the Location and the relevant Events.
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3. Create a graphic novel based on the story. |