An awesome ML+NLP project that will help you to find projects!
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Dataset Github
- Demo
- Overview
- Motivation
- Installation
- Deployement on Heroku
- Directory Tree
- Bug / Feature Request
- Future scope of project
Link: https://right-opensource-project.herokuapp.com/
This is a Flask web app which recommend you the open-source project this internallly uses ML and NLP model .
What to do when you are at home due to this pandemic situation? I started to Contributing to the open source projects but it was very difficult to find the right projects. So, Finally it is important to work on application (real world application) to actually make a difference.
The Code is written in Python 3.8.5. If you don't have Python installed you can find it here. If you are using a lower version of Python you can upgrade using the pip package, ensuring you have the latest version of pip. To install the required packages and libraries, run this command in the project directory after cloning the repository:
pip install -r requirements.txt
To run the Flask app:
python app.py
Login or signup in order to create virtual app. You can either connect your github profile or download ctl to manually deploy this project.
Our next step would be to follow the instruction given on Heroku Documentation to deploy a web app.
βββ models
β βββModel.ipynb
| βββmodel.py
| (...)
βββ template
β βββ index.html
| βββ result.html
|
βββ Procfile
βββ README.md
βββ app.py
βββ Open-Source-Recommendation-System.ipynb
βββ nltk.txt
βββ 2020-04-06.tsv
βββ requirements.txt
- NLTK - module to filter the the dataset and building model
- Sklearn - for making the predictions based on cosine similarity
- Flask - to run this web-application
- and some EDA and EDD steps to clean the model.
If you find a bug (the website couldn't handle the query and / or gave undesired results), kindly open an issue here by including your search query and the expected result
- Use multiple Algorithms
- Add some more features
- Optimize Flask app.py
- Front-End