Inspiration
The motivation behind this app is to support and provide a better marketing for small retailers in our community.
What it does
The app is a recommendation system that sends notifications to people according to their budget and preferences. It also provides offers, coupons to the customers. This improves the small retailer businesses.
How I built it
I developed the machine learning back end with python. The ML model classifies the data and returns the new category of services for new customers.
Challenges I ran into
Incorporating the back end with front using Flask framework was challenging.
Accomplishments that I'm proud of
I was successfully able to learn Flask with this application.
What I learned
Flask
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