https://github.com/adityaprakash-bobby/sih2019
Smart India Hackathon 2019
https://github.com/adityaprakash-bobby/sih2019
analytics arima-model django marketing-analytics plotly plotly-python predictive-analytics visualization
Last synced: 3 months ago
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Smart India Hackathon 2019
- Host: GitHub
- URL: https://github.com/adityaprakash-bobby/sih2019
- Owner: adityaprakash-bobby
- License: gpl-3.0
- Created: 2019-03-10T06:34:06.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2023-02-15T21:31:25.000Z (over 2 years ago)
- Last Synced: 2025-03-25T09:01:49.071Z (7 months ago)
- Topics: analytics, arima-model, django, marketing-analytics, plotly, plotly-python, predictive-analytics, visualization
- Language: Python
- Size: 175 KB
- Stars: 5
- Watchers: 1
- Forks: 1
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Dashboard for MSMEs
It is a project made on the fulfillment of Smart India Hackathon 2019. It helps the small companies under MSME to analyse and get a look over how their products are performing in the market. As well as it helps predict the future demands of the products.
## Setup:
```bash
# clone the repo and jump into the folder
git clone https://github.com/adityaprakash-bobby/SIH2019
cd SIH2019/# setup the virtual environment
virtualenv -p python3 venv
source venv/bin/activate# intall the dependencies
pip install -r requirements.txt
```#### Setup to use plotly:
Create an account in Plotly. Get the access tokens and username.
Change the following lines in the files dashboard/analysis.py and dashboard/prediction.py
> plotly.tools.set_credentials_file(username='your-plotly-username-here', api_key='your-plotly-api-key-here')
### Access the application
```bash
# run the server
python manage.py runserver
```Now navigate to https://localhost:8000/