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Presentation of the recommender-engine with a competitive UX by React-Native mobile application to end user, AI powered route generator.

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Wayou

The recommender-engine, AI powered route generator.

The project is divided into 4 main parts:

  • CenterEnd: The main backend that handles the requests and responses.
  • Microservices: The services that are responsible for the AI and the recommendation engine.
  • Clients: The clients that are responsible for the user interface.
  • Data: The data, fetch and some operations that is related with the AI.

How to run

Sorry for the inconvenience, but the project is not yet dockerized, so you have to run each part separately.

Mobile

cd clients/mobile
npm i
npx expo start

Center End Backend:

cd backend 
dotnet build
cd CenterEnd/CenterEnd.GatewayApi
dotnet run

For Each MicroService:

cd backend/Microservices/\[name of the microservice\]
if the microservice powered by flask: python3 pip install python3 src/main.py
if the microservice powered by node: npm install node src/index.js
if the microservice powered by dotnet: dotnet build dotnet run

Some Screenshots

login home decks place-info create-route route-info

Backend diagrams

center-end-structure software-architecture request-response

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Presentation of the recommender-engine with a competitive UX by React-Native mobile application to end user, AI powered route generator.

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