MLH-Fellowship / MLH-Fellowship/CodeVidLive

Use Case

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documentation
Dominant language
Dart
Stars
5
Forks
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Description

Use Case 1: Predict Ann's chance of Covid 19 exposure

Primary Actor: A cell phone user Ann
Scope: Android/Apple cell phone
Level: Visualize probability of getting contaminated with the back end model prediction based model prediction.

Main success scenario:

  • Map view shows contamination chance.
  • Uncontaminated/contaminated user shared trace of their activities.
  • Model chance are rendered from SciML

Extensions:

1a. Map view shows test sites
2a. Trace record pulse map
3a. Realtime virus data online prediction

Variations:

  1. Various things are going well for you and your family. Buble view?

Use Case 2: Identify hotspots for National Healthcare Institute

Primary Actor: A government organization "National Healthcare Institute"
Scope: Android/Apple cell phone
Level: Identify and visualize hotspots of coronavirus with the back end model prediction based model prediction.

Main success scenario:

  • Map view shows identified hotspots.
  • Model chance are rendered from SciML

Extensions:

1a. Notify users if they are hotspots in their proximity.

Use Case 3: Avail the API for Fatimah's new contact tracing application

Primary Actor: A developer Fatimah
Scope: API
Level: Make the prediction model service available to developers/researchers/organizations using API endpoints.

Main success scenario:

  • Prediction model service accessible from API.

Extensions:

1a. Allow researchers to upload their own data to use with prediction.
2a. Add API keys for better provisioning of server resources.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the issue's three use cases and verify which unfinished scenario is still wanted, since the requested work spans mobile map views, SciML predictions, hotspot visualization, contact tracing, and API extensions. No files, tests, or entry points are named; completion criteria must be agreed before implementation can begin.

Written by the indexing model from the issue text.

Assessment

Tech stack
dart
Domain
api, machine-learning, mobile-dev
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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