Restaurant Business Analytics for the price, discount, etc prediction with people counting web app
- Innovative solution for gaining profit in standalone startup restaurants. According to many reports, the main factor that determines a restaurant's profit is the people count. So we have proposed a solution where a restaurant's past history of prices, dishes, and such factor's transaction has been taken into account and providing a recommendation for the price to be fixed for a particular day, the dish quantity to be prepared, etc.
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- Trend analysis is much more important, for that we use tableau, which provides real-time public inference on data, here the owners can check their past transaction and analyze the trend.
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- Tensorflow(SSD + MobileNet), Sklearn(XGBoostRegressor)
- Postgres
- Streamlit
- Tableau
Install all dependencies using 'pip install -r requirements.txt' Except dlib, use 'conda install -c conda-forge dlib'
Finally, Run using the command 'streamlit run Streamlit-app.py'