Business-Analytics-with-People-Counter

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.

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.

Tech Stack

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'

Name		Name	Last commit message	Last commit date
Latest commit History 57 Commits
.vscode		.vscode
dataset		dataset
images		images
mobilenet_ssd		mobilenet_ssd
models		models
mylib		mylib
templates		templates
videos		videos
.gitattributes		.gitattributes
.gitignore		.gitignore
Dockerfile		Dockerfile
Flask-app.py		Flask-app.py
LICENSE		LICENSE
Log.csv		Log.csv
README.md		README.md
Streamlit_app.py		Streamlit_app.py
data_log.xlsx		data_log.xlsx
requirements.txt		requirements.txt