https://github.com/hugolgst/homeccenture
Homeccenture enlightens your home-office experience. Accenture STARTHack 2021 Winner project
https://github.com/hugolgst/homeccenture
accenture hackathon home-office machine-learning office-experience starthack
Last synced: about 2 months ago
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Homeccenture enlightens your home-office experience. Accenture STARTHack 2021 Winner project
- Host: GitHub
- URL: https://github.com/hugolgst/homeccenture
- Owner: hugolgst
- License: gpl-3.0
- Created: 2021-03-19T13:43:20.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2021-03-21T07:17:45.000Z (about 4 years ago)
- Last Synced: 2025-02-03T12:53:42.490Z (3 months ago)
- Topics: accenture, hackathon, home-office, machine-learning, office-experience, starthack
- Language: Jupyter Notebook
- Homepage:
- Size: 12.2 MB
- Stars: 3
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
## Synopsis
Homeccenture uses **machine learning** to enlightens your home-office experience by recommending activities.
Being a very intuitive application, it asks you very few questions in order to work.
Right after answering these question, that's where machine learning takes place. The machine learning recommender system automatically recommends the users new activities from the Company-wise dataset based on their colleague's interactions.
The product would be **owned** by the companies who bought it. It would mean that the companies would have **full control** over their data.
Homeccenture is fully open-source and keeps no trace other than in the server it is hosted.
Homeccenture cares about privacy.
## Technologies used
- Machine learning model using PyTorch
- Rest API with AioHTTP
- Front-end with React.js
## Getting started
Make sure to have node and python both installed on the machine.
### Frontend
```bash
cd frontend
npm i
npm start
```
### Backend
```bash
cd backend
pip install -r requirements.txt
python server
```