Q3 Technologies achieved remarkable success in designing, developing, and implementing a highly effective Machine Learning solution. This solution is specifically designed to identify and categorize video files based on the keywords extracted from the video script. The categorized videos are then utilized for training agents, enabling them to acquire valuable skills and knowledge. The implementation […]

Q3 Technologies developed an advanced Predictive Maintenance Solution for a prominent telecom equipment manufacturer, enabling them to predict machine failures 24 hours in advance. The client’s goal was to reduce production line defects from 8-9 defects per million to approximately 3.4 defects per million. The Q3 Tech Team created a solution that provided real-time dashboards […]

The client wanted an Intelligent Predictive Analytics Solution using AI/ML and its algorithms to predict Employee Attrition in the organization depending upon several factors such as: Work Tenure, Age of the Employees, Salaries, Distance travelled daily to reach office/Commute Time, Assigned Managers, Employees’ Gender, their Marital Status, etc. Technology Used – Python, Sklearn, Xgboost Better […]

Q3 Technologies developed a solution for a big multinational power sector company. Overhead conveyors are used to transporting coal from the shipping-port to the production area for thermal power production. Due to breakage in the belt or pillars, the transporting of the coal used to get halted resulting in huge losses. The client wanted to […]

Q3 Technologies developed an open-source solution for tracking of livestock and identifying any anomalous behavior based on historic trends for them using computer vision techniques to take near real-time attention by providing treatment to cattle in the form of medicines, equipment, and care. Technology Used – Camera Vision, CNN,SSD MobileNet, Faster R-CNN, Raspberry Pi, Jetson […]

Q3 Technologies helped the Client in developing the RFM (Recency, Frequency, and Monetary) analysis model which is used as one of the popular customer segmentation techniques. The segmentation of customers was helpful in effectively designing the target, maximizing the return on their marketing investments. Technology Used – RFM Analysis Higher return on investment as the […]

Q3 Technologies helped the client in developing a Machine Learning based application that segments the customer information through the data collected from point-of-sale devices. The executives can provide better shopping recommendations and unique offers to each customer based on this segmentation and further analysis. Technology Used – Natural Language Processing (NLP), Python,NLTK, Gensim, spacy Increase […]