To display news according to real-time data values fetched from APIs.
The main objective of this project is to develop a web appplication that can display news based on real-time data.
The project has a wide scope, as it is not intended to a particular organization. This project is going to develop generic software, which can be applied by any businesses organization. Moreover it provides facility to its users. Also the software is going to provide a huge amount of summary data.
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- Click to see deployement:
- Click to see deployement:
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- News API
- Binance API
- NDTV Sports API
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asgiref==3.4.1
asttokens==2.0.5
autopep8==1.5.7
backcall==0.2.0
beautifulsoup4==4.11.1
black==22.1.0
bs4==0.0.1
certifi==2022.6.15
charset-normalizer==2.1.0
click==8.0.3
colorama==0.4.4
cycler==0.11.0
debugpy==1.5.1
decorator==5.1.1
distlib==0.3.4
dj-database-url==0.5.0
Django==3.2.6
django-debug-toolbar==3.4.0
django-heroku==0.3.1
entrypoints==0.4
executing==0.8.2
filelock==3.7.1
fonttools==4.33.3
gunicorn==20.1.0
idna==3.3
inflection==0.5.1
ipykernel==6.9.1
ipython==8.0.1
jedi==0.18.1
joblib==1.1.0
jupyter-client==7.1.2
jupyter-core==4.9.2
kiwisolver==1.4.3
lxml==4.9.1
matplotlib==3.5.2
matplotlib-inline==0.1.3
more-itertools==8.13.0
multitasking==0.0.11
mypy-extensions==0.4.3
nest-asyncio==1.5.4
newsapi-python==0.2.6
numpy==1.23.0
opencv-python==4.6.0.66
packaging==21.3
pandas==1.4.1
parso==0.8.3
pathspec==0.9.0
pickleshare==0.7.5
Pillow==9.1.1
pipenv==2022.6.7
platformdirs==2.5.0
plotly==5.9.0
prompt-toolkit==3.0.28
psycopg2==2.9.3
pure-eval==0.2.2
pycodestyle==2.7.0
Pygments==2.11.2
pyparsing==3.0.9
python-dateutil==2.8.2
python-decouple==3.4
pytz==2021.1
pyzmq==22.3.0
qrcode==7.3.1
Quandl==3.7.0
requests==2.28.1
scikit-learn==1.1.1
scipy==1.8.1
seaborn==0.11.2
six==1.16.0
sklearn==0.0
soupsieve==2.3.2.post1
sqlparse==0.4.2
stack-data==0.2.0
tenacity==8.0.1
threadpoolctl==3.1.0
toml==0.10.2
tomli==2.0.1
tornado==6.1
traitlets==5.1.1
tzdata==2022.1
Unipath==1.1
urllib3==1.26.9
virtualenv==20.14.1
virtualenv-clone==0.5.7
wcwidth==0.2.5
whitenoise==5.3.0
yfinance==0.1.72
STEP 1: Clone the repository from GitHub.
git clone https://github.com/Kumar-laxmi/Newspad.gitSTEP 2: Change the directory to the repository.
cd NewsPadSTEP 3: Create a virtual environment (For Windows)
python -m venv virtualenv(For MacOS and Linux)
python3 -m venv virtualenvSTEP 4: Activate the virtual environment. (For Windows)
virtualenv\Scripts\activate(For MacOS and Linux)
source virtualenv/bin/activateSTEP 5: Install the dependencies.
pip install -r requirement.txtSTEP 6: Migrate the Django project. (For Windows)
python manage.py migrate(For MacOS and Linux)
python3 manage.py migrateSTEP 7: Run the application. (For Windows)
python manage.py runserver(For MacOS and Linux)
python3 manage.py runserverTo be updated soon...
This software is for educational purposes only. USE THE SOFTWARE AT YOUR OWN RISK. THE AUTHORS AND ALL AFFILIATES ASSUME NO RESPONSIBILITY FOR YOUR TRADING RESULTS. Do not risk money which you are afraid to lose. There might be bugs in the code - this software DOES NOT come with ANY warranty.
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