Smart Notification System is built in Flask framework using Python and acts as a service behind the Android application of the e-commerce website. The database is built in SQLite3 and the Push notification as a form of Cloud Messaging Service is provided by Firebase. Finally, the whole project follows REST architectural style. The Smart Notification System is built to serve the following areas: To improve the quality of notifications received at the user end and deliver them at the right time. A Recommendation System to provide the best recommendations specific to the user interest. A timeline of user buying probability of products in real time and future aimed to benefit business factors. User response to key events and notifications as feedback or others improves the algorithm to deliver better quality of notifications.
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This is a PayTM notification optimization project build originally by me alongside my team. It has components of Android Studio as a platform for the app's wireframe and use of Machine Learning models for generating the notification with firebase for cloud tokenization for the notifications.
PotatoProgrammer20/Paytm
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This is a PayTM notification optimization project build originally by me alongside my team. It has components of Android Studio as a platform for the app's wireframe and use of Machine Learning models for generating the notification with firebase for cloud tokenization for the notifications.
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