Sales Forecast using Machine Learning

A web application to predict the sales of a newly launched product

Libraries Used : scikit-learn Web Framework User : Django

Using the pickle library to load and use pre trained ml models.

How does it look like when you run it?

Main Page

Product Detail Input Page

Prediction Output Page

How to run sales_predit_ml on your Linux/Unix System ?

Clone the repository and get inside sales_forecast_ml

git clone https://github.com/rshrc/sales_forecast_ml && cd sales_predict_ml

Installing required Python3 libraries

sudo pip3 install -r requirements.txt

Make Migrations

python3 manage.py makemigrations predict && python3 manage.py migrate

Loading the server_predictor.py for later use

python3 ml_core/ml_process/server_predictor.py

Running the Server

python3 manage.py runserver

You should now be able to access the sales_predict_ml web app in localhost:8000 in your browser

How to run sales_predit_ml on your Windows System ?

Install Linux or buy a Mac and revisit https://github.com/rshrc/sales_forecast_ml/README.md