Pokémon Accessory Recommendation Engine
6.5
A web application predicting popularity and sales trends of PopSocket accessories. Leveraging machine learning models trained on historical sales data and social media engagement, the system forecasts demand for specific designs and recommends optimal inventory levels for retailers.
80h
mvp estimate
6.5
viability grade
3
views
technology stack
Python
PostgreSQL
Easy
inspired by
PopSockets drops new Pokémon collection