Intent Based Prediction

Tech Used: Dialog Flow Chat Bot, XGboost, Python, GCP, Big Query, Neo4j, node js

Projects deals with building a intent based model to predict the number of active user in next one hours, and based on the active user, predict the partition utilization similarly predict the SLA Breach.

Created an intent using the Dialog flow bot framework.

Build data cleaning technique based on different timeframe in python.

Build the model using Computing core agent and using Statistical algorithms.

Created learning features in XGboost algorithms.

Build the impact analysis reports to measure the PRB throughput different time frame.

Implemented the logic for handling more than an intent , in given time frame.