- This repository is a project for the MLH HackJaipur Hackathon 2020.
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Python: We used Python script mainly in the project for the entire content.
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Streamlit: We used this library for converting our app.py script into a web-app. It uses pure python to convert a simple python script into a fully-interactive web-app.
- We used the Covid-India library package, recently launched on PyPi. It is useful for providing the website with live updates of the covid-related statistics.
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Plotly: The plotly Python library (plotly.py) is an interactive, open-source plotting library that supports over 40 unique chart types covering a wide range of statistical, financial, geographic, scientific, and 3-dimensional use-cases. Built on top of the Plotly JavaScript library, we used this for visual representation of our data.
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Matplotlib: Another library used for minimal charts and graphs.
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Pandas: A software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.
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BeautifulSoup: Beautiful Soup is a library that makes it easy to scrape information from web pages. It sits atop an HTML or XML parser, providing Pythonic idioms for iterating, searching, and modifying the parse tree.
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Requests: Requests was used to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings.
- App can be tested live on Heroku App by clicking here.
- The very first step is to enable language control over the whole site.
- Need a map tally to track the number of hospitals and beds in a particular location
- Create a Contact Us page.
- The project is Open-Sourced on GitHub, under the MIT Licence. Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Please make sure to update tests as appropriate.