This project aims to predict the risk of customer support tickets escalating, in order to help organizations manage their support more efficiently and improve the customer experience.
Whenever insufficient attention is given to support issues, there is a chance customers will escalate their issues, and escalation to management is time-consuming and expensive, especially for large organizations managing hundreds of customers and thousands of support tickets. This project provides a step towards simplifying the job for support analysts and managers, particularly in predicting the risk of escalating support tickets.
This project has been maintained on Private Repo
The Android app uses Bluetooth-communicable smart insoles and an LSTM-based prediction model to help diabetic patients prevent injuries from turning into ulcers, with a recall rate of 90% and a precision rate of 89%.
WanderLusts is an ML Powered Social Media Platform for Travellers. A Google CodeU Summer 2019 Project.
